Comprehensive farming service system based on regional agricultural resource integration

Abstract

The invention discloses a comprehensive farming service system based on regional agricultural resource integration, and relates to the technical field of agricultural services, and the system comprises a feature unit which is used for mining the feature industry information of a park based on geographical conditions, cultural resources and land resources; the layout unit is used for constructing a planting layout based on the characteristic industry information; the water supply unit is used for dividing the park into a plurality of regional parks based on the lift irrigation booster station, obtaining the irrigation water quota based on the planting layout, obtaining pipelines with different diameters based on the irrigation water quota, and installing the pipelines in each regional park; the planting unit is used for crop production based on planting layout and pipelines; and the regional service unit is used for constructing regional service centers with different functions based on the geographic position of the park, and constructing a comprehensive farming service center based on all regional service centers, and can solve the problems that the agricultural technology is advanced and applicable, the technology is difficult to popularize, the agricultural industry characteristics are not prominent, and the agricultural service quality is uneven.

Description

Technical Field

[0001] The present invention relates to the field of agricultural services, and in particular to a comprehensive agricultural service system based on the integration of regional agricultural resources. Background Art

[0002] At present, various rural areas have made great progress in promoting agricultural modernization and have also achieved remarkable development results in the field of agricultural social services. However, in this process, some problems and shortcomings are inevitable. Specifically, they are:

[0003] 1) Difficulty in promoting advanced and applicable technologies: Problems such as disconnected supply of improved varieties, incompatible technology combinations, inadequate demonstration and promotion, and poor information transmission are common in agricultural technology promotion, and have become a major bottleneck in improving agricultural efficiency. First, the technology demonstration and promotion cycle is long, and the benefits cannot be seen immediately, so farmers are not very motivated, resulting in low quality of agricultural products; second, services are lagging behind, and agricultural technology promotion generally has institutions but lacks personnel, and most of them are part-time. In addition, due to decentralized operations, agricultural technology promotion faces great challenges, and some farmers do not have enough understanding of the concept and advantages of agricultural production trusteeship, are still accustomed to traditional agricultural production methods, and hold a conservative attitude towards new service models, resulting in restrictions on the promotion of agricultural production trusteeship services;

[0004] 2) The characteristics of the agricultural industry are not prominent, such as the regional concentration of the agricultural industry is low, the local characteristics are not obvious, or the advantageous and characteristic industry information also has a certain production scale in other regions, the regional industry is relatively homogeneous, the brand market competitiveness is weak, the sales channels are mainly offline, the scope is not wide, and it faces competitive pressure and market risks brought by industrial development;

[0005] 3) The service quality is uneven. Due to the differences in professional capabilities and practical experience of social service organizations, the service quality will inevitably be uneven, making it difficult to ensure the efficiency and high quality of the services. Summary of the invention

[0006] In order to solve the problems of difficulty in promoting advanced and applicable agricultural technologies, lack of prominent agricultural industry characteristics and uneven agricultural service quality, the present invention provides a comprehensive agricultural service system based on regional agricultural resource integration, the system comprising:

[0007] Characteristic unit: used to explore the characteristic industry information of the park based on geographical conditions, cultural resources and land resources;

[0008] Layout unit: used for constructing a planting layout based on the characteristic industry information;

[0009] Water supply unit: used for dividing the park into several regional parks based on the irrigation and boosting station, obtaining the irrigation water quota based on the planting layout, obtaining pipes of different diameters based on the irrigation water quota, installing the pipes in each of the regional parks, and the pipes are used for graded water supply;

[0010] A planting unit: used for producing crops based on the planting layout and the pipeline;

[0011] Regional service unit: used to construct regional service centers with different functions based on the geographical location of the park, each of which provides technical services for crop production and processing, and to construct a comprehensive agricultural service center based on all the regional service centers.

[0012] Pumping and boosting station: a water conservancy facility. Pumping and boosting station means pumping water for irrigation. It increases the pressure by building a filter and using electromechanical pumps or human, animal, wind and other water-lifting tools to pump water for irrigation.

[0013] Principle of this system: Through geographical conditions, cultural resources and land resources of the park's location, local crop characteristics are explored to highlight agricultural industry characteristics, reduce regional industry homogeneity, and enhance brand market competitiveness; based on characteristic industry information, planting layout is constructed to improve the utilization rate of cultivated land and build a higher level of agricultural park; the park is divided by planting layout and irrigation and boosting stations, and water can be used to evenly, regularly and quantitatively infiltrate the root development and growth area of ​​crops, so that the root soil always maintains an appropriate water content, which can effectively reduce the water consumption in facility crop production and improve the efficiency of irrigation water utilization; improve grain output, quality, production level and production efficiency, achieve agricultural production increase and farmers' income increase, and build an efficient, water-saving and mechanized planting park; construct different functions based on the geographical location of the park regional service centers, and build comprehensive agricultural service centers based on all regional service centers, to provide a comprehensive socialized agricultural service platform for the cultivation, management, storage, transportation and marketing of crops in the park, and realize the modernization of agricultural production; at the same time, it provides all-round technical support for agricultural production, including technology introduction, demonstration and promotion, pest and disease monitoring and control, field technical guidance, and provides pre-production, mid-production and post-production services to ensure the smooth progress of agricultural production, and solve problems such as disconnected supply of improved varieties, incompatible technology combinations, and poor information transmission due to insufficient demonstration and promotion; and through the service center, farmers can get a series of services that benefit farmers and the people, such as technical guidance, equipment services, information consultation, etc., to ensure the efficiency and high quality of services, thereby improving efficiency in agricultural production and solving agricultural production problems.

[0014] Furthermore, the characteristic unit specifically includes:

[0015] Crop unit: used to obtain pending crops based on the geographical conditions, the land resources and the climate of the park, obtain the sales data of the first crop in the park based on the pending crops, and obtain the sales data of the second crop outside the park; based on a first preset range, obtain the same crops in the first sales data and the second sales data to obtain homogeneous crops, obtain the different crops in the first sales data and the second sales data to obtain the first crops; obtain different crop varieties of the homogeneous crops, obtain variety data, sales data and first user feedback data of each crop variety, and obtain the pending crop varieties of the homogeneous crops; based on a second preset range, obtain the trademark information and brand information of the first crop and the pending crop varieties, obtain the second crop based on the trademark information, obtain the third crop based on the brand information, and obtain the characteristic crop based on the second crop and the third crop;

[0016] Industry unit: used to obtain the processed product data of the characteristic planted crops and obtain the crop industry information; obtain the characteristic industry information based on the crop industry information.

[0017] Based on the geographical conditions, land resources and climate of the park, we determine the scenic spots and crops that are suitable for development in the park. Then, based on the sales data, we select the same and different types of crops with the highest sales volume, and differentiate the same types of crops according to their varieties to reduce homogeneity. Then, based on trademark information and brand information, we determine the specialty crops, and develop the park's specialty industries based on the scenic spots and specialty crops, enhance local characteristics, and reduce the homogeneity of information on advantageous specialty industries in other areas.

[0018] The annual crop rotation model refers to a planting method in which different crops or multiple cropping combinations are planted sequentially and rotated on the same piece of land within a certain number of years.

[0019] Furthermore, the layout unit specifically includes:

[0020] Reconstruction unit: used for carrying out land consolidation on the land resources to obtain the first park;

[0021] Model unit: used for dividing the first park into planting areas based on the classification of cultivated land and the characteristic planting crops, so as to obtain an annual rotation model;

[0022] Construction unit: used for constructing the planting layout based on the annual crop rotation pattern.

[0023] Carry out land consolidation, scientific planning and design of cultivated land to achieve intensive, large-scale and efficient use of land, making it more suitable for mechanized operations, thereby improving the efficiency and quality of agricultural production; divide the park into planting areas and obtain an annual rotation model, which can improve the utilization rate of cultivated land and increase the quality of crop yields.

[0024] Usually, crops are planted in batches in agriculture, which helps to adjust and optimize the planting structure, select more suitable varieties for planting according to market demand and climatic conditions, improve planting efficiency, avoid yield fluctuations caused by single planting, thereby increasing overall yield, and can adapt to market changes, increase the economic benefits of growers, and ensure the continuity and stability of market supply. Therefore, this system can detect the growth and market sales of crops in real time, re-plan the unplanted areas, reduce the losses caused by poor crop growth, and more flexibly adapt to market changes, thereby increasing the economic benefits of growers.

[0025] Furthermore, the system further comprises:

[0026] The first prediction unit is used to obtain the image of the first park based on a preset time interval by a collection device, obtain a planted area image and an unplanted area image based on the park image, identify different categories of planted crops based on the planted area image, divide the planted area image based on the category of the planted crops to obtain a plurality of first sub-area images; obtain a first pixel value of each of the first sub-area images based on a first preset color, obtain an array layout of the planted crops based on the first pixel value, divide each of the first sub-area images based on the array layout to obtain a plurality of second sub-area images; obtain a germination rate of the planted crops based on the array layout and the first pixel value; and obtain a germination rate of each of the second sub-area images based on the second pixel value. The sub-region image and the first pixel value are used to obtain the crop height of each of the planted crops, and based on the crop height and the second preset color, the root and stem width of each of the planted crops is obtained; based on each of the second sub-region images and the third preset color, the second pixel value of each of the planted crops is obtained, the regional area of ​​the second pixel value is obtained, and the leaf density of each of the planted crops is obtained based on the regional area; based on the array layout, the third preset range and the regional area, a plurality of third sub-region images are obtained, and based on the fourth preset color, the weed amount of each of the third sub-region images is obtained; the growth state of the planted crops is predicted based on the germination rate, the crop height, the root and stem width, the leaf density and the weed amount;

[0027] A second prediction unit is used to obtain the weather forecast of the park, the sales volume of the planted crops, the sales volume of the processed products of the planted crops and the second user feedback data to predict the to-be-planted data of the planted crops;

[0028] Planning unit: used for planning the planting crop data of the unplanted area based on the growth status and the data to be planted.

[0029] In some cases, crops are intercropped with each other, such as intercropping peanuts and corn, which can maximize the use of land resources and save costs. At the same time, peanuts have biological nitrogen fixation, which helps to improve soil quality and increase soil fertility, while the growth of corn helps to improve soil structure. The complementary effect between the two helps to improve soil health and productivity, increase the yield of corn and peanuts, and farmers can obtain higher economic benefits. However, there will also be adverse effects on each other, such as a certain degree of competition for nutrients and light, and joint planting is susceptible to aphids. Therefore, this system adds a monitoring unit to monitor the growth of crops in real time, and through its treatment of pests or transplanting, it can reduce the adverse effects of joint planting.

[0030] Furthermore, the system further comprises:

[0031] Monitoring unit: used for obtaining the brightness value and pixel value of each first sub-area image, judging whether the planted crop has a first defect based on the brightness value; judging whether the pixel value is within a preset pixel value range based on a preset area range, if so, the planted crop has a second defect; obtaining the size of all the planted crops based on the preset range and the pixel value, obtaining an average size based on all the sizes, judging whether the size exceeds a preset size range based on the average size, if so, the planted crop has a third defect.

[0032] Furthermore, the system further comprises:

[0033] Road unit: used to construct roads of different levels in the park based on the characteristic industry information, population density and geographical conditions to obtain a road network system;

[0034] Scale unit: used to construct business entities of different sizes and their operating models based on the park and the characteristic industry information.

[0035] Build a highway network system that is rationally structured, adapted to local conditions, convenient, smooth, safe and environmentally friendly, increase the traffic rate, enhance farmers' travel experience, effectively improve the rural transportation environment, and promote local economic development; the different business models of large-scale growers, agricultural companies and cooperatives will make the agricultural development in the region show a diversified and large-scale development trend, providing a strong impetus for local agricultural production.

[0036] Furthermore, the regional service unit specifically includes:

[0037] Composition unit: used for designing the service function of each regional service center based on the characteristic industry information, planting distance and crop production conditions;

[0038] Process unit: used for obtaining the production process of the integrated agricultural service center based on all the annual crop rotation patterns;

[0039] Capacity unit: used to obtain the land area of ​​each of the regional service centers based on all of the annual crop rotation patterns, the production processes, the planting areas, and the expected yields;

[0040] Location unit: used to obtain the land address of each of the regional service centers based on the land area, the geographical location, the road network system, the variety of the planted crops, the planting distance, the transportation cost and the land for the crop planting facilities;

[0041] Processing line unit: used for obtaining the production line of each regional service center based on the production process;

[0042] Service unit: used to construct all the regional service centers based on the service functions, the land area, the land address and the production lines, and to construct a comprehensive agricultural service center based on all the regional service centers, wherein the regional service centers include a seedling raising center, a drying center, a storage and processing center and an agricultural machinery service center;

[0043] Equipment unit: used for analyzing the service equipment of each regional service center and the model and quantity of the service equipment based on the site address and the production line;

[0044] Energy consumption unit: used for obtaining energy consumption demand based on all the service equipment and the irrigation water quota;

[0045] Traffic unit: used to obtain a traffic organization plan based on all the land addresses and preset traffic routes;

[0046] A tour unit: used for obtaining a tour route based on all the land addresses, the varieties of the planted crops and the planting distances;

[0047] System unit: used to construct the work system of each regional service center based on the production process and the service equipment, and configure the staff of each regional service center.

[0048] Crop production conditions refer to some basic elements required for agricultural production, including natural conditions, agricultural labor, arable land resources, farmland water conservancy facilities, agricultural machinery and equipment, and agricultural science and technology.

[0049] The production line refers to the process by which raw materials, semi-finished products or finished products are processed, assembled, transported and other operations on the production line in a certain order and path during the production process.

[0050] Build a comprehensive agricultural service center to solve problems in all aspects of agricultural production before, during and after production, as well as machinery and equipment matching, technical support, product processing, etc., and to solve problems in crop planting, management and harvesting, seedling cultivation, drying, warehousing and processing, agricultural machinery services and smart agriculture, so as to improve efficiency in agricultural production and solve agricultural production problems.

[0051] The traffic organization plan is flexibly adjusted and optimized according to actual conditions. Convenient and efficient traffic organization helps to improve the service quality and efficiency of the service center, as well as the transportation efficiency of crops; formulate a tour route that is more in line with the park to ensure that visitors can fully and deeply understand the characteristics and functions of the comprehensive agricultural service center; establish a scientific and standardized work system. The work system can include production systems, safety systems, and environmental protection systems to ensure that the work meets the standard requirements. An operation and maintenance management manual should be formulated to implement the responsibilities of management personnel, technical and other personnel, so as to ensure the efficiency and high quality of the service.

[0052] At present, with the progress of urbanization and the accelerated pace of life, people are increasingly eager to get close to nature and relax. Picking tours, as an ecological, healthy, short-distance and self-service leisure method, are becoming more and more popular among leisure groups. Tourists come from the city to the suburbs, are in a natural environment, and pick fresh fruits by hand. They can not only taste green food, but also experience spiritual pleasure during the activity. They feel a full range of visual, taste, tactile and auditory experiences. At the same time, the originally monotonous and hard farm work is transformed into an aesthetic, participatory and entertaining tourism activity, which also enhances the value of agricultural products and increases farmers' income. However, some tourists cannot grasp the maturity of fruits and are prone to picking unripe fruits, resulting in fruit waste. In addition, some fruits have poor appearance problems, such as wormholes, which bring a bad experience to tourists. To address the above problems, this system considers judging the maturity of an area based on color, size, user picking amount and user stay time, and recommends areas with ripe fruits to tourists, thereby reducing fruit waste. Through the pre-trained model, fruits with poor appearance are identified and screened, and their areas are not recommended to tourists, thereby improving the tourists' experience.

[0053] The picking garden is an activity venue that integrates leisure, entertainment and agricultural experience. It aims to allow tourists to pick fruits or vegetables in the garden themselves and enjoy the fun of nature and labor.

[0054] Furthermore, the system further comprises:

[0055] Picking unit: used to construct a picking garden, divide the picking garden into several sub-picking areas, configure a display and a collector for each sub-picking area, obtain picking data based on the collector, obtain a first image of the picking garden based on the picking data, recognize the first image based on a pre-trained model, and obtain picked crops and picking users;

[0056] Maturity unit: used for obtaining the third pixel value of the picked crop, obtaining the mature area based on the third pixel value and the first preset pixel value range, obtaining the picked crop area based on the third pixel value, and obtaining a first maturity result based on the mature area and the picked crop area; obtaining the picked crop size based on the picked crop area, and obtaining a second maturity result based on the picked crop size and a preset size range; obtaining the maturity value of each of the sub-picking areas based on the first maturity result and the second maturity result;

[0057] Taste unit: used to obtain the first user of each of the sub-picking areas within a preset time range based on the picking users, obtain the number of the first users, and obtain the first time of the first user in each of the sub-picking areas; obtain the quantity difference of the picked crops within the preset time range, and obtain the taste value of each of the sub-picking areas based on the number of users, the first time and the quantity difference;

[0058] Appearance unit: used for performing defect detection on the picked crops based on the pre-trained model to obtain the appearance value of each of the sub-picking areas;

[0059] Recommendation unit: used for obtaining a recommendation value for each of the sub-picking areas based on the maturity value, the taste value and the appearance value, sorting all the sub-picking areas based on the recommendation value to obtain a sorted list, obtaining a recommendation list of the sorted list based on a preset quantity range, obtaining the coordinates of the sub-picking areas in the recommendation list, and transmitting the recommendation list and the coordinates to the display for display.

[0060] Furthermore, the system further comprises:

[0061] Smart unit: used to build an unmanned agricultural machinery driving system based on the service equipment, build an environmental sensing system based on the environment of the park, build a farmland digitization system based on the production data of the park, build a visual smart farm based on the unmanned agricultural machinery driving system, the environmental sensing system and the farmland digitization system, and the visual smart farm is used to manage the park.

[0062] The intelligent unit builds a visual smart farm with the regional service center as the core, realizes the visualization of agricultural production data and unmanned operations in the plowing, planting, management and harvesting links, promotes the process of agricultural modernization, and improves agricultural production efficiency and quality.

[0063] Furthermore, the system further comprises:

[0064] Live broadcast unit: used to obtain product information of the park, build a live broadcast platform based on the product information and the industry information of the scenic spot, the product information includes characteristic industry information, planted crop information and processed product information; upload several anchor pre-sale videos to the live broadcast platform, obtain the number of views, viewing time and comment volume of each anchor pre-sale video, obtain the effective number of views whose viewing time is greater than a first preset time based on the number of views, and obtain the viewing time of each product information based on the effective number of views; obtain the product to be broadcasted based on all the viewing times; obtain the video text of each anchor pre-sale video, perform entity recognition on the video text to obtain entity data, extract the video text based on preset keywords to obtain the keyword volume; perform semantic analysis on the video text to obtain analysis results; obtain the language expression value of each video text based on the entity data, the keyword volume and the analysis results, and obtain the anchor to be broadcasted based on the language expression value; based on the live broadcast platform, the anchor to be broadcasted conducts live sales of the product to be broadcasted.

[0065] Building a live broadcast platform that is more suitable for agriculture, with both offline and online sales channels, will expand the sales scope, be conducive to the sale of crops, and reduce the competitive pressure and market risks brought about by industrial development.

[0066] One or more technical solutions provided by the present invention have at least the following technical effects or advantages:

[0067] 1. Determine the crops suitable for planting in the park through the geographical conditions, land resources and climate of the park, and then select the same type of crops and different types of crops with the highest sales volume based on the sales data, distinguish the same type of crops according to the variety to reduce the homogeneity, and then determine the specialty crops based on the trademark information and brand information, develop the park's specialty industries based on the specialty crops, enhance local characteristics, and reduce the homogeneity of information on advantageous specialty industries in other regions.

[0068] 2. Based on the growth status and data to be planted, plan the planting crop data of unplanted areas, detect the growth and market sales of crops in real time, and re-plan the unplanted areas. This can reduce the losses caused by poor crop growth and adapt to market changes more flexibly, thereby increasing the economic benefits of growers.

[0069] 3. Based on the first defect, the second defect and the third defect, the monitoring results are obtained, and the planting crop data is updated based on the monitoring results. The growth of crops is monitored in real time, and the adverse effects of joint planting can be reduced by treating pests or transplanting.

[0070] 4. Construct a picking garden and divide it into several sub-picking areas. Each sub-picking area is equipped with a display and a collector. The maturity value, taste value and appearance value are obtained based on the collector, so as to obtain the recommended value of each sub-picking area. Based on the recommended value, a recommendation list is obtained, and the coordinates of the sub-picking area in the recommendation list are obtained. The recommendation list and coordinates are transmitted to the display for display, which can reduce fruit waste and improve the tourists' experience.

[0071] 5. Build a comprehensive agricultural service center to provide a comprehensive socialized agricultural service platform for the cultivation, management, storage, transportation and marketing of the park's crops, and realize the modernization of agricultural production; at the same time, provide all-round technical support for agricultural production, including technology introduction, demonstration and promotion, pest and disease monitoring and control, field technical guidance, and provide pre-production, in-production and post-production services to ensure the smooth progress of agricultural production, solve problems such as disconnected supply of improved varieties, incompatible technology combinations, and poor information transmission due to inadequate demonstration and promotion; and through the service center, farmers can get a series of services that benefit farmers and the people, such as technical guidance, equipment services, information consultation, etc., to ensure the efficiency and high quality of services, thereby improving efficiency in agricultural production and solving agricultural production problems.

[0072] 6. Build a live broadcast platform based on product information and scenic spot information, obtain the language expression value of each video text based on entity data, keyword volume and analysis results, and obtain the host to be broadcast live based on the language expression value; based on the live broadcast platform, the host to be broadcast live will conduct live sales of the live broadcast products, build a live broadcast platform that is more suitable for agriculture, and take into account both offline and online sales channels to expand the sales scope, which is conducive to the sale of crops and reduces the competitive pressure and market risks brought about by industrial development. BRIEF DESCRIPTION OF THE DRAWINGS

[0073] The drawings described herein are used to provide a further understanding of the embodiments of the present invention, constitute a part of the present invention, and do not constitute a limitation on the embodiments of the present invention;

[0074] Figure 1 It is a structural schematic diagram of a comprehensive agricultural service system based on regional agricultural resource integration in the present invention. DETAILED DESCRIPTION

[0075] In order to more clearly understand the above-mentioned purpose, features and advantages of the present invention, the present invention is further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be noted that the embodiments of the present invention and the features in the embodiments can be combined with each other without conflict.

[0076] In the following description, many specific details are set forth to facilitate a full understanding of the present invention. However, the present invention may also be implemented in other ways different from those within the scope of this description. Therefore, the protection scope of the present invention is not limited to the specific embodiments disclosed below.

[0077] Embodiment 1

[0078] refer to Figure 1 This embodiment provides a comprehensive agricultural service system based on regional agricultural resource integration, the system comprising:

[0079] Characteristic unit: used to explore the characteristic industry information of the park based on geographical conditions, cultural resources and land resources;

[0080] The characteristic units specifically include:

[0081] Crop unit: used to obtain pending planting crops based on the geographical conditions, the land resources and the climate of the park, obtain the first crop sales data of the park based on the pending planting crops, and obtain the second crop sales data that is not in the park; based on a first preset range, obtain the same planting crops in the first sales data and the second sales data to obtain homogenized planting crops, obtain the different planting crops in the first sales data and the second sales data to obtain the first planting crops; obtain different crop varieties of the homogenized planting crops, obtain variety data, sales data and first user feedback data of each of the crop varieties, and obtain the pending crop varieties of the homogenized planting crops; based on the second Within a preset range, the trademark information and brand information of the first planted crop and the to-be-determined crop variety are obtained, the second planted crop is obtained based on the trademark information, the third planted crop is obtained based on the brand information, and the specialty planted crop is obtained based on the second planted crop and the third planted crop; in this embodiment, the non-park area may be other parks where the park is located, other parks that compete with the park, or markets at the location, etc., the sales data may be the sales data of crops and the sales data of processed products of crops, the trademark information may include trademark registration information, trademark usage information, geographical trademark information and geographical product trademark information, and the brand information may include brand awareness, brand influence, brand loyalty and customer satisfaction, etc.

[0082] For example, based on the geographical conditions, land resources and climate of the park, select the pending crops suitable for planting in the park, such as potatoes, corn and peanuts, obtain the first sales data of the park about the pending crops, obtain the second sales data of other parks, and obtain the crops that rank at the top in the first sales data and the second sales data. If potatoes are available, they are regarded as homogeneous crops. Corn and peanuts are not ranked high in the second sales data and are regarded as first crops. Obtain variety data, sales data and user feedback data of different potato varieties, select several potato varieties, obtain trademark information and brand information about corn, peanuts and selected potato varieties within the province or city where the park is located, and determine the characteristic crops through their registered or used trademark information, the commonness of the trademarks and the influence of the brands. For example, a certain potato variety will be screened out if it has a large number of registered trademarks or a strong brand influence and will not be taken into consideration.

[0083] Industry unit: used to obtain the processed product data of the featured crop and obtain the crop industry information; obtain the featured industry information based on the crop industry information. For example, obtain processed potato products, such as French fries, potato starch, potato liquor and potato biscuits, and select the processed products with good sales volume, so as to obtain the featured industry information from potato to potato processed products.

[0084] Layout unit: used for constructing a planting layout based on the characteristic industry information;

[0085] Wherein, the layout unit specifically includes:

[0086] Transformation unit: used for land consolidation of the land resources to obtain the first park; for example, mechanization transformation of land resources refers to the transformation of farmland to make it more suitable for mechanized operations, such as deep plowing of plots, merging small into large, merging short into long, making steep plots gentle and turning curves straight, as well as building access ramps, improving field roads, water storage and drainage facilities, and improving soil fertility, so that agricultural machinery can more conveniently enter the farmland for operations, thereby improving the efficiency and quality of agricultural production.

[0087] Model unit: used for dividing the first park into planting areas based on the classification of cultivated land and the characteristic planting crops, so as to obtain an annual rotation model;

[0088] Construction unit: used for constructing the planting layout based on the annual crop rotation pattern.

[0089] Water supply unit: used for dividing the park into several regional parks based on the irrigation and boosting station, obtaining the irrigation water quota based on the planting layout, obtaining pipes of different diameters based on the irrigation water quota, installing the pipes in each of the regional parks, and the pipes are used for graded water supply;

[0090] A planting unit: used for producing crops based on the planting layout and the pipeline;

[0091] Regional service unit: used to construct regional service centers with different functions based on the geographical location of the park, each of which provides technical services for crop production and processing, and to construct a comprehensive agricultural service center based on all the regional service centers.

[0092] Wherein, the regional service unit specifically includes:

[0093] Composition unit: used for designing the service function of each regional service center based on the characteristic industry information, planting distance and crop production conditions;

[0094] Process unit: used for obtaining the production process of the integrated agricultural service center based on all the annual crop rotation patterns;

[0095] Capacity unit: used to obtain the land area of ​​each of the regional service centers based on all of the annual crop rotation patterns, the production processes, the planting areas, and the expected yields;

[0096] Location unit: used to obtain the land address of each of the regional service centers based on the land area, the geographical location, the road network system, the variety of the planted crops, the planting distance, the transportation cost and the land for the crop planting facilities;

[0097] Processing line unit: used to obtain the production line of each regional service center based on the production process; for example, the production line of the drying center can be: wet grain entry, temporary storage, drying and warehousing.

[0098] Service unit: used to construct all the regional service centers based on the service function, the land area, the land address and the production line, and to construct a comprehensive agricultural service center based on all the regional service centers, wherein the regional service centers include a seedling raising center, a drying center, a storage and processing center and an agricultural machinery service center. In this embodiment, the regional service center may also include an agricultural material storage and preparation center, an agricultural machinery maintenance and operation center, an agricultural technology promotion and training center, an information management and service center, an administrative management and logistics area, etc.; the land for crop planting facilities may include crop production and nursing rooms serving production, storage places for agricultural materials and agricultural machinery, etc., as well as drying, airing, sorting and packaging, and fresh-keeping storage facilities directly related to production.

[0099] For example, the level of agricultural mechanization of grain and oil in the park is relatively weak and there is no comprehensive agricultural service center in the surrounding area. There are no natural drying conditions for grain and oil after harvest, which poses a risk to grain and oil safety. There is an urgent need for a modern agricultural comprehensive service center with functions such as factory-based rice seedling cultivation, full mechanization of grain and oil cultivation, management and harvesting, grain and oil drying and storage center, and grain and oil processing center. Therefore, based on the crop varieties planted in the park, planting distances, terrain conditions and production needs, the functional sections of the comprehensive agricultural service center are designed, including a seedling cultivation center, a drying center, a storage and processing center, and an agricultural machinery service center.

[0100] The seedling raising center is used to cultivate crop seedlings, including three main stages: sowing, seedling raising and transplanting. Its production lines can be designed in sequence as follows: substrate or seeds, sowing and seedling raising assembly line, seedling tray stacking, dark seedling raising and field seedling raising; the drying center uses wind heat and mechanical stirring to quickly evaporate the moisture in the harvested wet grain to achieve a suitable storage humidity to prevent the grain from mildewing, germination and other phenomena. The dried grain enters the storage and processing center, and its production lines can be designed in sequence as follows: wet grain entering the station, temporary storage, drying and warehousing; the storage and processing center is used for material storage, transit transportation, precise distribution, primary processing and packaging of grain and oil, etc. Its production lines can be designed in sequence as follows: grain collection, processing and finished products; the agricultural machinery service center is a comprehensive service organization that integrates agricultural machinery leasing, parking, maintenance, training and supervision, so that farmers can flexibly use the required agricultural machinery and equipment to improve production efficiency. Its production lines can be designed in sequence as follows: machinery entering the station, monitoring, maintenance, parking and exiting the station. The reasonable layout and internal production line design between the regional service centers can realize the effective allocation and efficient utilization of resources such as agricultural materials, agricultural machinery, personnel and information. At the same time, the regional service centers also maintain close communication and collaboration to ensure the smoothness and efficiency of the entire production line.

[0101] Embodiment 2

[0102] On the basis of the first embodiment, in this embodiment, the system further includes:

[0103] The first prediction unit is configured to obtain, based on a preset time interval, a park image of the first park by a collection device, obtain a planted area image and an unplanted area image based on the park image, identify different categories of planted crops based on the planted area image, divide the planted area image based on the category of the planted crops, and obtain a plurality of first sub-area images; in this embodiment, the collection device may be a drone or a camera, etc.;

[0104] Based on the first preset color, a first pixel value of each first sub-region image is obtained, based on the first pixel value, the array layout of the planted crops is obtained, and based on the array layout, each first sub-region image is divided to obtain a plurality of second sub-region images; considering the mechanization of agriculture and reasonable planting spacing, the planting structure of crops is basically arranged in an array, so the array distribution of the planted crops can be obtained according to their colors, and the images can be divided according to their distribution;

[0105] Based on the array layout and the first pixel value, the germination rate of the planted crop is obtained; for example, the germination rate of the planted crop is obtained based on the leaf color of the seedlings of the planted crop;

[0106] Based on each of the second sub-region images and the first pixel value, the crop height of each of the planted crops is obtained, and based on the crop height and the second preset color, the root width of each of the planted crops is obtained; for example, the height of the seedling from the ground is obtained according to the color of its seedling leaves, the root part is obtained according to its height, and the root width is obtained according to the root color;

[0107] Based on each of the second sub-region images and the third preset color, a second pixel value of each of the planted crops is obtained, a regional area of ​​the second pixel value is obtained, and a leaf density of each of the planted crops is obtained based on the regional area; for example, based on the color area of ​​the leaves, a proportion of the color area of ​​the leaves in the second sub-region image is obtained to obtain the leaf density;

[0108] Based on the array layout, the third preset range and the area of ​​the region, a plurality of third sub-region images are obtained, and based on the fourth preset color, the amount of weeds in each of the third sub-region images is obtained; considering that there is a certain distance between adjacent crops, other organisms, such as weeds, will grow in this area and affect the growth of crops, so the area outside the leaf area can be obtained, and the amount of weeds can be obtained according to the color of the weeds;

[0109] predicting the growth status of the planted crops based on the germination rate, the crop height, the rhizome width, the leaf density and the weed amount;

[0110] A second prediction unit is used to obtain the weather forecast of the park, the sales volume of the planted crops, the sales volume of the processed products of the planted crops and the second user feedback data to predict the to-be-planted data of the planted crops;

[0111] Planning unit: used for planning the planting crop data of the unplanted area based on the growth status and the data to be planted.

[0112] Embodiment 3

[0113] Based on the above embodiment, in this embodiment, the system further includes:

[0114] Monitoring unit: used to obtain the brightness value and pixel value of each first sub-region image, and judge whether the planted crop has a first defect based on the brightness value, and the first defect may be lack of light; judge whether the pixel value is within a preset pixel value range based on a preset area range, and if so, the planted crop has a second defect, and the second defect may be yellowing of leaves and leaf holes; obtain the size of all the planted crops based on the preset range and the pixel value, obtain an average size based on all the sizes, and judge whether the size exceeds a preset size range based on the average size, and if so, the planted crop has a third defect, and the third defect may be short and thin;

[0115] Based on the first defect, the second defect and the third defect, a monitoring result is obtained, and the planted crop data is updated based on the monitoring result.

[0116] Embodiment 4

[0117] Based on the above embodiment, in this embodiment, the system further includes:

[0118] Road unit: used to build roads of different levels within the park based on the characteristic industry information, population density and geographical conditions to obtain a road network system; for example, according to the principles of giving priority to the construction tasks of villages with weak infrastructure, giving priority to connecting dead-end roads to form a network, giving priority to the number of beneficiaries and giving priority to roads leading to rural industrial bases, hundreds of kilometers of rural roads of different levels such as county roads, township roads and village roads are built to form a road network system with a reasonable structure, adapted to local conditions, convenient, smooth, safe and environmentally friendly;

[0119] Scale unit: used to construct business entities of different scales and their business models based on the park and the characteristic industry information. In this embodiment, the business model can be to attract investment, introduce enterprises, economic organizations and large business operators to settle in for operation or lease operation, or the company can fully develop and manage the park, the government can guide and assist enterprises in raising funds for park construction and coordinate the relationship between relevant departments, the company can form an economic community with cooperative organizations and farmers, and organize farmers to produce, or farmers can lease their land collectively, the government can invest in centralized construction, farmers' professional cooperatives can manage uniformly, and farmers can voluntarily contract and operate.

[0120] Embodiment 5

[0121] Based on the above embodiment, in this embodiment, the regional service unit further includes:

[0122] Equipment unit: used for analyzing the service equipment of each regional service center and the model and quantity of the service equipment based on the site address and the production line;

[0123] Energy consumption unit: used for obtaining energy consumption demand based on all the service equipment and the irrigation water quota;

[0124] Traffic unit: used to obtain a traffic organization plan based on all the land addresses and preset traffic routes; such as setting up obvious traffic signs and signboards on the road leading to the service center, planning reasonable parking facilities, strengthening public transportation connections and establishing emergency traffic plans.

[0125] A tour unit: used for obtaining a tour route based on all the land addresses, the varieties of the planted crops and the planting distances;

[0126] System unit: used to construct the work system of each regional service center based on the production process and the service equipment, and configure the staff of each regional service center.

[0127] Embodiment 6

[0128] Based on the above embodiment, in this embodiment, the system further includes:

[0129] Picking unit: used to construct a picking garden, divide the picking garden into several sub-picking areas, each of the sub-picking areas is equipped with a display and a collector, obtain picking data based on the collector, obtain a first image of the picking garden based on the picking data, recognize the first image based on a pre-trained model, and obtain picked crops and picking users; in this embodiment, the collector can be a camera, and the pre-trained model can be a training set of picked crops, images of picked crops with marked defects, and face images. The pre-trained model is trained by image recognition technology and face recognition technology, so that it can recognize picked crops and faces, as well as detect defects.

[0130] Maturity unit: used for obtaining the third pixel value of the picked crop, obtaining the mature area based on the third pixel value and the first preset pixel value range, obtaining the picked crop area based on the third pixel value, and obtaining the first maturity result based on the mature area and the picked crop area, such as distinguishing the mature area by cyan and red; obtaining the size of the picked crop based on the picked crop area, and obtaining the second maturity result based on the picked crop size and the preset size range, such as obtaining the size of the picked crop through the size, so as to judge its maturity; obtaining the maturity value of each of the sub-picking areas based on the first maturity result and the second maturity result, such as obtaining the maturity value by setting different weight values ​​for the first maturity result and the second maturity result;

[0131] Taste unit: used to obtain the first user of each of the sub-picking areas within a preset time range based on the picking users, obtain the number of the first users, and obtain the first time of the first user in each of the sub-picking areas; obtain the quantity difference of the picked crops within the preset time range, and obtain the taste value of each of the sub-picking areas based on the number of users, the first time and the quantity difference; if it is set to be within 15 minutes, obtain the users of sub-picking area A through the collected data of the collector, obtain their number of users, and the stay time of each user, which can be obtained from the range when the user enters the collector to the range when the user leaves the collector, and the quantity difference of the picked crops in sub-picking area A within 15 minutes, such as within 15 minutes, the quantity decreases from 150 to 100, then the quantity is 50; and then obtain the taste value by setting different weight values ​​for the number of users, the first time and the quantity difference;

[0132] Appearance unit: used to perform defect detection on the picked crops based on the pre-trained model to obtain the appearance value of each of the sub-picking areas; in this embodiment, the defects may be deformities, fruit rust, worm holes, black spots, etc.

[0133] Recommendation unit: used for obtaining a recommendation value for each of the sub-picking areas based on the maturity value, the taste value and the appearance value, sorting all the sub-picking areas based on the recommendation value to obtain a sorted list, obtaining a recommendation list of the sorted list based on a preset quantity range, such as recommending the top ten sub-picking areas in the sorted list, obtaining the coordinates of the sub-picking areas in the recommendation list, and transmitting the recommendation list and the coordinates to the display for display.

[0134] Embodiment 7

[0135] Based on the above embodiment, in this embodiment, the system further includes:

[0136] Smart unit: used to build an unmanned agricultural machinery driving system based on the service equipment, build an environmental sensing system based on the environment of the park, build a farmland digitization system based on the production data of the park, build a visual smart farm based on the unmanned agricultural machinery driving system, the environmental sensing system and the farmland digitization system, and the visual smart farm is used to manage the park.

[0137] For example, the smart unit integrates Beidou satellite navigation technology, agricultural machinery unmanned driving technology, agricultural Internet of Things technology and other advanced technical means, and builds a modern smart farm with the regional service center as the core. With unmanned farms, agricultural monitoring and smart irrigation as the theme, it realizes the visualization of agricultural production data and unmanned operations in the links of plowing, planting, management and harvesting, forming one center: the smart command center for agricultural machinery; three systems: unmanned agricultural machinery driving system, environmental sensing system and farmland digitalization system; five stations: agricultural machinery station, soil moisture station, seedling station, insect station and meteorological station; six intelligences: intelligent irrigation, intelligent farming, intelligent field management, intelligent harvesting, intelligent detection and early warning, and intelligent decision-making. Thereby promoting the process of agricultural modernization and improving agricultural production efficiency and quality.

[0138] Embodiment 8

[0139] Based on the above embodiment, in this embodiment, the system further includes:

[0140] Live broadcast unit: used to obtain product information of the park, and build a live broadcast platform based on the product information and the industry information of the scenic spot, wherein the product information includes characteristic industry information, planted crop information and processed product information;

[0141] Upload several anchor pre-sale videos to the live broadcast platform, obtain the number of views, viewing time and number of comments of each anchor pre-sale video, obtain the effective number of views whose viewing time is greater than a first preset time based on the number of views, obtain the viewing time of each product information based on the effective number of views; obtain the products to be broadcasted based on all the viewing times;

[0142] Obtain the video text of each anchor's pre-sale video, perform entity recognition on the video text by using named entity recognition technology to obtain entity data, and extract the video text based on preset keywords by using a regular matching method to obtain keyword quantity;

[0143] Using semantic analysis technology to perform semantic analysis on the video text to obtain analysis results;

[0144] Obtaining a language expression value of each of the video texts based on the entity data, the keyword quantity, and the analysis result, and obtaining a host to be broadcast live based on the language expression value;

[0145] Based on the live broadcast platform, the host to be broadcasting sells the product to be broadcasted live.

[0146] In this embodiment, word frequency analysis, topic analysis, and sentiment analysis can also be performed on the video text to more clearly understand the host's language expression ability and host ability.

[0147] Embodiment 9

[0148] Based on the above embodiments, in this embodiment, an example is given to illustrate the construction of a regional service center, such as a drying center:

[0149] The drying center is an important link in improving regional grain production efficiency, ensuring food security and promoting agricultural industrialization. It mainly provides services for rice, corn, wheat and other crops in the project area. The harvested wet grain is quickly evaporated through wind heat and mechanical stirring to achieve a suitable storage humidity, prevent the grain from mildewing and germination, and the dried grain is directly stored in the warehouse to improve the grain storage capacity and quality.

[0150] The drying capacity is obtained based on the climate during the harvest season, the scale of planting, the daily drying or harvesting volume, the moisture content of grain at harvest, the grain yield, moisture content, transportation conditions, topography, and the cost of crop transportation, harvesting, and transshipment; the drying capacity refers to the amount of grain that the drying equipment can handle at one time;

[0151] Based on topography and transportation costs, the service radius is obtained; the service radius refers to the spatial distance or time distance served by various public service facilities;

[0152] Get the production process of the drying center, for example, the drying production process of the drying center is: wet grain inlet, near-screen elevator, primary cleaning screen, grain inlet elevator, grain inlet scraper conveyor, low-humidity batch circulation dryer, grain discharge conveyor, chute into steel silo and grain discharge conveyor installation, grain discharge cart, grain discharge and loading;

[0153] Obtaining drying equipment and the number of drying equipment based on the planting area, yield, drying cycle, drying capacity and transportation conditions of the crops;

[0154] Based on the planting area and yield of crops, geographical conditions, the drying capacity, the service radius, the drying equipment and the number of drying equipment, the land area is obtained;

[0155] Based on the land area, the service radius, transportation conditions and topography, obtain the address of the drying center;

[0156] A drying center is constructed based on the land area and the address.

[0157] Although the preferred embodiments of the present invention have been described, those skilled in the art may make other changes and modifications to these embodiments once they have learned the basic creative concept. Therefore, the appended claims are intended to be interpreted as including the preferred embodiments and all changes and modifications that fall within the scope of the present invention.

[0158] Obviously, those skilled in the art can make various changes and modifications to the present invention without departing from the spirit and scope of the present invention. Thus, if these modifications and variations of the present invention fall within the scope of the claims of the present invention and their equivalents, the present invention is also intended to include these modifications and variations.

Claims

1. A comprehensive agricultural service system based on regional agricultural resource integration, characterized in that: The system comprises: Characteristic unit: used to explore the characteristic industry information of the park based on geographical conditions, cultural resources and land resources; Layout unit: used for constructing a planting layout based on the characteristic industry information; Water supply unit: used for dividing the park into several regional parks based on the irrigation and boosting station, obtaining the irrigation water quota based on the planting layout, obtaining pipes of different diameters based on the irrigation water quota, installing the pipes in each of the regional parks, and the pipes are used for graded water supply; A planting unit: used for producing crops based on the planting layout and the pipeline; Regional service unit: used to construct regional service centers with different functions based on the geographical location of the park, each of which provides technical services for crop production and processing, and to construct a comprehensive agricultural service center based on all the regional service centers.

2. The integrated agricultural service system based on regional agricultural resource integration according to claim 1, characterized in that: The characteristic units specifically include: Crop unit: used to obtain pending crops based on the geographical conditions, the land resources and the climate of the park, obtain the sales data of the first crop in the park based on the pending crops, and obtain the sales data of the second crop outside the park; based on a first preset range, obtain the same crops in the first sales data and the second sales data to obtain homogeneous crops, obtain the different crops in the first sales data and the second sales data to obtain the first crops; obtain different crop varieties of the homogeneous crops, obtain variety data, sales data and first user feedback data of each crop variety, and obtain the pending crop varieties of the homogeneous crops; based on a second preset range, obtain the trademark information and brand information of the first crop and the pending crop varieties, obtain the second crop based on the trademark information, obtain the third crop based on the brand information, and obtain the characteristic crop based on the second crop and the third crop; Industry unit: used to obtain the processed product data of the characteristic planted crops and obtain the crop industry information; obtain the characteristic industry information based on the crop industry information.

3. The integrated agricultural service system based on regional agricultural resource integration according to claim 2 is characterized in that: The layout unit specifically includes: Reconstruction unit: used for carrying out land consolidation on the land resources to obtain the first park; Model unit: used for dividing the first park into planting areas based on the classification of cultivated land and the characteristic planting crops, so as to obtain an annual rotation model; Construction unit: used for constructing the planting layout based on the annual crop rotation pattern.

4. The integrated agricultural service system based on regional agricultural resource integration according to claim 3 is characterized in that: The system further comprises: A first prediction unit is configured to acquire, by a collection device, a park image of the first park based on a preset time interval, obtain a planted area image and an unplanted area image based on the park image, identify different categories of planted crops based on the planted area image, and divide the planted area image based on the category of the planted crops to obtain a plurality of first sub-area images; Based on a first preset color, obtaining a first pixel value of each of the first sub-region images, obtaining an array layout of the planted crops based on the first pixel value, and dividing each of the first sub-region images based on the array layout to obtain a plurality of second sub-region images; Based on the array layout and the first pixel value, obtaining a germination rate of the planted crop; Based on each of the second sub-region images and the first pixel value, the crop height of each of the planted crops is acquired, and based on the crop height and a second preset color, the root width of each of the planted crops is acquired; Based on each of the second sub-region images and the third preset color, obtaining a second pixel value of each of the planted crops, obtaining a region area of ​​the second pixel value, and obtaining a leaf density of each of the planted crops based on the region area; Based on the array layout, the third preset range and the area of ​​the region, a plurality of third sub-region images are obtained, and based on a fourth preset color, the amount of weeds in each of the third sub-region images is obtained; predicting the growth status of the planted crops based on the germination rate, the crop height, the rhizome width, the leaf density and the weed amount; A second prediction unit is used to obtain the weather forecast of the park, the sales volume of the planted crops, the sales volume of the processed products of the planted crops and the second user feedback data to predict the to-be-planted data of the planted crops; Planning unit: used for planning the planting crop data of the unplanted area based on the growth status and the data to be planted.

5. The integrated agricultural service system based on regional agricultural resource integration according to claim 4 is characterized in that: The system further comprises: A monitoring unit is used to obtain the brightness value and pixel value of each first sub-region image, and judge whether the planted crop has a first defect based on the brightness value; judge whether the pixel value is within a preset pixel value range based on a preset area range, and if so, the planted crop has a second defect; obtain the size of all the planted crops based on the preset range and the pixel value, obtain an average size based on all the sizes, and judge whether the size exceeds a preset size range based on the average size, and if so, the planted crop has a third defect; Based on the first defect, the second defect and the third defect, a monitoring result is obtained, and the planted crop data is updated based on the monitoring result.

6. The integrated agricultural service system based on regional agricultural resource integration according to claim 5, characterized in that: The system further comprises: Road unit: used to construct roads of different levels in the park based on the characteristic industry information, population density and geographical conditions to obtain a road network system; Scale unit: used to construct business entities of different sizes and their operating models based on the park and the characteristic industry information.

7. The integrated agricultural service system based on regional agricultural resource integration according to claim 6, characterized in that: The regional service unit specifically includes: Composition unit: used for designing the service function of each regional service center based on the characteristic industry information, planting distance and crop production conditions; Process unit: used for obtaining the production process of the integrated agricultural service center based on all the annual crop rotation patterns; Capacity unit: used to obtain the land area of ​​each of the regional service centers based on all of the annual crop rotation patterns, the production processes, the planting areas, and the expected yields; Location unit: used to obtain the land address of each of the regional service centers based on the land area, the geographical location, the road network system, the variety of the planted crops, the planting distance, the transportation cost and the land for the crop planting facilities; Processing line unit: used for obtaining the production line of each regional service center based on the production process; Service unit: used to construct all the regional service centers based on the service functions, the land area, the land address and the production lines, and to construct a comprehensive agricultural service center based on all the regional service centers, wherein the regional service centers include a seedling raising center, a drying center, a storage and processing center and an agricultural machinery service center; Equipment unit: used for analyzing the service equipment of each regional service center and the model and quantity of the service equipment based on the site address and the production line; Energy consumption unit: used for obtaining energy consumption demand based on all the service equipment and the irrigation water quota; Traffic unit: used to obtain a traffic organization plan based on all the land addresses and preset traffic routes; A tour unit: used for obtaining a tour route based on all the land addresses, the varieties of the planted crops and the planting distances; System unit: used to construct the work system of each regional service center based on the production process and the service equipment, and configure the staff of each regional service center.

8. The integrated agricultural service system based on regional agricultural resource integration according to claim 7, characterized in that: The system further comprises: Picking unit: used to construct a picking garden, divide the picking garden into several sub-picking areas, configure a display and a collector for each sub-picking area, obtain picking data based on the collector, obtain a first image of the picking garden based on the picking data, recognize the first image based on a pre-trained model, and obtain picked crops and picking users; Maturity unit: used for obtaining the third pixel value of the picked crop, obtaining the mature area based on the third pixel value and the first preset pixel value range, obtaining the picked crop area based on the third pixel value, and obtaining a first maturity result based on the mature area and the picked crop area; obtaining the picked crop size based on the picked crop area, and obtaining a second maturity result based on the picked crop size and a preset size range; obtaining the maturity value of each of the sub-picking areas based on the first maturity result and the second maturity result; Taste unit: used to obtain the first user of each of the sub-picking areas within a preset time range based on the picking users, obtain the number of the first users, and obtain the first time of the first user in each of the sub-picking areas; obtain the quantity difference of the picked crops within the preset time range, and obtain the taste value of each of the sub-picking areas based on the number of users, the first time and the quantity difference; Appearance unit: used for performing defect detection on the picked crops based on the pre-trained model to obtain the appearance value of each of the sub-picking areas; Recommendation unit: used for obtaining a recommendation value for each of the sub-picking areas based on the maturity value, the taste value and the appearance value, sorting all the sub-picking areas based on the recommendation value to obtain a sorted list, obtaining a recommendation list of the sorted list based on a preset quantity range, obtaining the coordinates of the sub-picking areas in the recommendation list, and transmitting the recommendation list and the coordinates to the display for display.

9. The integrated agricultural service system based on regional agricultural resource integration according to claim 8, characterized in that: The system further comprises: Smart unit: used to build an unmanned agricultural machinery driving system based on the service equipment, build an environmental sensing system based on the environment of the park, build a farmland digitization system based on the production data of the park, build a visual smart farm based on the unmanned agricultural machinery driving system, the environmental sensing system and the farmland digitization system, and the visual smart farm is used to manage the park.

10. The integrated agricultural service system based on regional agricultural resource integration according to claim 9, characterized in that: The system further comprises: Live broadcast unit: used to obtain product information of the park and build a live broadcast platform based on the product information, wherein the product information includes characteristic industry information, planted crop information and processed product information; Upload several anchor pre-sale videos to the live broadcast platform, obtain the number of views, viewing time and number of comments of each anchor pre-sale video, obtain the effective number of views whose viewing time is greater than a first preset time based on the number of views, obtain the viewing time of the product information based on the effective number of views; obtain the products to be broadcasted based on all the viewing times; Obtaining the video text of each anchor's pre-sale video, performing entity recognition on the video text to obtain entity data, and extracting the video text based on preset keywords to obtain keyword quantity; Performing semantic analysis on the video text to obtain analysis results; Obtaining a language expression value of each of the video texts based on the entity data, the keyword quantity, and the analysis result, and obtaining a host to be broadcast live based on the language expression value; Based on the live broadcast platform, the host to be broadcasting sells the product to be broadcasted live.

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