116 results about "Crop acreage" patented technology

The invention provides a crop planting strategy optimization method and system under a multi-constraint condition and a cloud platform, and the method comprises the steps: inputting crop data into a constructed improved mixed integer linear programming agricultural model, and taking the maximization of the total planting profit as an objective function; setting a planting area constraint, a yield constraint, a continuous cropping planting limitation constraint, a plot spacing constraint, a rotation value constraint, a land type constraint and a special planting requirement constraint of crop classification; dynamically optimizing the model through an improved genetic algorithm, and iteratively solving a needle planting strategy; crop types in the crop data are classified through a K-means clustering method, and a planting strategy is optimized and adjusted in combination with a loss coefficient of an expected sales volume; a K-S test method and a Spearman correlation coefficient analysis method are used to analyze the relationship among the planting cost, the sales price and the expected sales volume, and the planting strategy is further optimized. The economic benefit of the planting scheme is improved, and the planting efficiency is improved by optimizing resource allocation through centralized planting.

The invention is applicable to the technical field of bioengineering, and provides a coding gene for enhancing iron deficiency stress tolerance of plants and application. According to the soybean GmMYB14 transcription factor disclosed by the invention, the problem that the growth of soybeans is limited in an iron-deficient environment, particularly calcareous soil and soda saline alkali soil, is solved by excavating and applying the encoding gene (the nucleotide sequence is shown as SEQ ID No.1) of the soybean GmMYB14 transcription factor. Experiments prove that after the gene is over-expressed in arabidopsis thaliana and soybean, the tolerance of plants to iron deficiency stress can be remarkably enhanced. The invention provides a key gene resource for molecular breeding: the GmMYB14 effectively promotes the absorption and utilization of plants on iron by regulating and controlling the metabolic pathway of phenylpropane, not only can improve the planting adaptability of soybeans in low-iron soil, but also can improve the yield and quality of the soybeans, provides powerful technical support for enlarging the planting area of the soybeans in iron-deficient soil regions, and has a wide application prospect. The method is of great significance in relieving insufficient soybean productivity in China and improving the self-sufficiency rate.

The invention discloses a calculation method of an agricultural water and soil resource optimal allocation scheme based on'water-carbon-grain-economy-ecology 'coupling, and relates to a calculation method of a regional agricultural water and soil resource optimal allocation scheme. The method aims at solving the problem that in an existing agricultural water and soil resource allocation method, water resources, economic benefits, carbon resources and ecological benefits are difficult to balance and coordinate. The method comprises the following steps: 1, analyzing supply and demand of agricultural water and soil resources; 2, constructing a regional agricultural water and soil resource multi-objective optimization configuration model by taking different land utilization types as decision variables, taking water resources, economic benefits, carbon resources and ecological benefits as optimization objectives and taking available water amount and total planting area as main constraint conditions; and 3, solving by adopting an optimization algorithm to obtain an agricultural water and soil resource optimization configuration scheme. According to the method, water resources, economic benefits, carbon sequestration benefits and ecological benefits are incorporated into the same optimization framework, target optimization is efficiently and accurately carried out, and the method can be applied to the field of agriculture.

The invention discloses an ecological environment damage carbon sink alternative restoration calculation and monitoring method, device, equipment, medium and product, and relates to the field of ecological restoration, the method comprises the following steps: obtaining a time sequence remote sensing image of an ecologically damaged land parcel, and determining a damage area and a contrast area; determining the total amount of carbon sequestration before damage of the ecologically damaged land parcel according to the unit area carbon sequestration amount and the damage area of the contrast area; calculating the total compensation measure carbon sink amount of the ecologically damaged land parcel according to the annual carbon absorption amount per unit area of each replanting tree in the ecologically damaged land parcel and the planting area of each replanting tree; and according to the carbon sink total amount before damage, the compensation measure carbon sink total amount, the carbon emission permit transaction price and the carbon sink price, determining the carbon sink loss amount and the carbon sink value amount of the project tree, and monitoring the restoration condition of the ecologically damaged land parcel. The reliability and credibility of calculation of the carbon sink amount of the ecologically damaged land parcel are improved, and the change condition of the carbon sink amount of the ecologically damaged land parcel can be monitored in real time.

The invention relates to the technical field of agricultural automatic driving, in particular to a coarse-to-fine agricultural aerial survey path generation method and system. The method comprises the following steps: acquiring an orthographic aerial survey image generated by aerial survey of an unmanned aerial vehicle; carrying out image segmentation on the obtained orthographic aerial survey image, and carrying out crude extraction to obtain an operable area and a crop area; according to different operation types, an operation path and a transportation path are planned in the workable area; and the operation path and the transportation path are input into the agricultural robot, and full-autonomous operation is achieved. The method is extremely high in efficiency, and is very suitable for unmanned vehicle operation deployment in orchards or farmlands with ultra-large planting areas.

The invention relates to a vertically stackable modular plant pot structure, formed by superposed modules, wherein each module is formed by a trunk having a base with an edge which, not being circular, is geometrically identical to the edge of the top of the trunk of the same module, rotated by an angle δ and shifted by a height H relative to the vertical axis, such that the modules are coupled together from above by the edge of the base of the module and from below by the edge of the top of the trunk of the module, the rotation generating areas preferably close to the axis of the structure, in which areas are located arms with cavities containing substrate or pottery shards, in order to i) be closer to the axis, thereby improving the stability of the structure, ii) have a larger planting area, the pot having greater capacity, or iii) have openings further from the trunk, providing more space for the plants. The structure provides a single continuous exposed surface, with the module arms thus coupled as hollow bodies in successive branches and distributed with different degrees of rotation.

The invention provides a cloud and fog area crop identification method based on multi-source remote sensing data enhancement, and belongs to the technical field of image processing and identification. In order to solve the problems that in an existing crop remote sensing recognition method, optical image data is difficult to obtain in a cloud area, the recognition accuracy is low only based on radar images or single-phase cloudless optical remote sensing images, and the like, a deep learning algorithm is introduced, and a triple attention mechanism is introduced into a generative adversarial network. Data enhancement based on time sequence multi-source remote sensing data is realized, a deep spatial-temporal feature extraction network and a double-branch deep neural network are constructed based on crop phenological feature differences by using an enhanced time sequence cloudless optical image, and feature extraction and type discrimination capabilities for crop identification are enhanced. Finally, accurate identification of crop types in cloud and fog areas and efficient extraction of planting areas are realized, and the method is of great significance in insisting on an intensive resource utilization principle, scientifically and reasonably utilizing cultivated land resources and implementing a strictest cultivated land protection system.

According to the fruit and vegetable juice and the preparation method thereof provided by the invention, fruit juice and vegetable juice are mixed and then mixed with various vegetable juices (Chinese wolfberry fruits and carrots) to prepare a series of fruit and vegetable juices taking the cedrela chinensis as a base material, so that the variety of agricultural products of seasonal fruit cedrela chinensis is enriched, and the problems of unsalable and rotten cedrela chinensis inferior fruits are solved. As a special plant in Sichuan, the planting area and the yield are increased year by year, a fruit and vegetable juice fixed industrial chain is formed, and long-term and stable source income can be provided for local farmers; through deep processing, the added value of the hovenia acerba is improved, and more benefits are brought; the window period of the cedrela chinensis is prolonged, so that the cedrela chinensis can be sold in a longer time period, and waste is avoided; in addition, a large amount of manpower is needed in the processes of fruit selection, picking, squeezing, blending and finished product obtaining, employment opportunities are provided for local peasants, and the economic income of the peasants is increased; meanwhile, production and sales of the spring can directly or indirectly bring income to local economy, and sustainable development of the local economy is facilitated.

The invention belongs to the technical field of crop classification, and particularly discloses a corn and peanut crop classification method based on a Sentinel-2 satellite image and deep learning, which uses a DB-NET model to classify corn and peanut crops from a Sentinel-2 image, focuses on solving the problem of accurate identification of the corn and peanut crops, and realizes accurate estimation of a planting area based on a classification result. The innovation of the method is reflected in three aspects: in the technical level, three methods of reelif-F, RF and CST are introduced to carry out feature optimization so as to optimize model input, in the method level, an attention-guided feature fusion mechanism and a double-branch up-sampling feature fusion model are constructed, and in the application level, a complete technical chain from classification to decision support is established. Through system design, high-precision classification and area estimation of corn and peanut crops are finally realized, and reliable technical support is provided for practical application of precision agriculture.

The utility model discloses a recycled aggregate concrete dense rib hollow three-dimensional planting wall which comprises a planting wall body, a plurality of hollow building blocks are arranged on the planting wall body, a plurality of placing through holes are formed in the hollow building blocks, and a plurality of planting boxes are detachably inserted into the placing through holes. As an assembly type building, the whole wall body is processed and completed in a factory, when the wall body is used, the wall body only needs to be hoisted to a corresponding position, meanwhile, corresponding planting boxes can be added, different crops can be planted, the attractiveness of the wall body is improved, meanwhile, the planting area can be increased, and due to the fact that the planting boxes are detachable, the wall body is convenient to use. Different shapes can be designed, meanwhile, when typhoons come in coastal areas, the planting boxes can be detached, the containing through holes of the hollow building blocks become ventilation through holes, and the wind resistance of the hollow building blocks is improved.

A crop carbon footprint evaluation method including: acquiring historical data of crops to be evaluated at a production stage and a planting stage; determining a first carbon emission, a second carbon emission, and a third carbon emission of the crops to be evaluated per unit planting area based on the historical data; determining a first adjustment factor and a second adjustment factor by predicting a carbon emission characteristic model; acquiring a planting area of the crops to be evaluated, and determining a first total carbon emission of seeds of the crops to be evaluated based on the planting area, the first carbon emission, the second carbon emission, the first adjustment factor and the second adjustment factor; determining a second total carbon emission after the crops to be evaluated grow; determining a target strategy for reducing carbon footprint for the crops to be evaluated.

The embodiment of the invention provides a crop planting information identification method and device, equipment and a storage medium, and is applied to the technical field of agricultural data processing. Preprocessing a to-be-identified crop image, and inputting the preprocessed to-be-identified crop image into the crop instance segmentation model to obtain a crop planting category and a crop planting area output by the model; the crop instance segmentation model is generated by constraint of a difficult case mining algorithm based on Fisher loss and K nearest neighbor, and the crop instance segmentation model is used for processing crop features in the to-be-identified crop image; and determining a crop planting area based on the crop planting area. Generation of a crop instance segmentation model is constrained through Fisher loss and a K-nearest neighbor-based difficult case mining algorithm, so that crop planting types and crop planting areas in crop images can be automatically identified in a complex scene, and the planting area is further calculated. The crop planting category identification precision and the crop planting area calculation precision are improved.

The invention provides a crop planting distribution identification method based on deep learning and a fusion positioning technology. The method comprises the steps of 1, obtaining a camera image, a three-dimensional point cloud and a geographic coordinate of a target area through an acquisition device; step 2, identifying crops in the camera image through a deep learning algorithm, identifying the boundary of each crop planting area at the same time, and outputting crop classification vector pattern spots; step 3, projecting radar point cloud data to a camera image by adopting a PCL, fusing the camera image and the three-dimensional point cloud to obtain an accurate coordinate of each pixel point in the camera image relative to the surveying and mapping point, and outputting a pixel coordinate matrix; and 4, calculating the area of each crop distribution region according to the coordinates of the pixel points on the boundary of each distribution region in the crop classification vector pattern spots, summarizing the same crops, and finally counting the planting area and the distribution condition of each crop.

The utility model discloses a three-dimensional greenhouse with grid layering and overall environmental control, comprising: a planting greenhouse, which is a closed space formed by splicing and assembling a plurality of transparent heat-insulating materials, wherein a plurality of vertical support structures are arranged inside the planting greenhouse, and a plurality of horizontal support structures are arranged in the middle of the vertical support structures; a space layering component, wherein a plurality of space layering components are arranged and respectively placed on the top of each layer of the horizontal support structure, so as to realize multiple planting areas, and the space layering components are composed of a plurality of grid plates for upward and downward air circulation; the beneficial effects of the utility model are as follows: by constructing multiple layers of independent planting spaces within the overall structural frame, three-dimensional planting of crops is realized, and multiple planting areas are realized on the same land area; the space planting layer uses the grid plate as the ground to ensure upward and downward air circulation, and the greenhouse can carry out overall environmental control, which greatly saves the construction investment and energy consumption of greenhouse environmental control.

The invention is suitable for the technical field of area measurement, and particularly relates to an area measurement method and system for crop planting, and the method comprises the steps: carrying out the aerial photographing of a to-be-measured region, obtaining an aerial image, and calling a planting region map; performing picture analysis on the aerial image, detecting a crop planting area, and generating a depth information measurement path based on the crop planting area; depth information collection is carried out, and edge depth information coordinates are obtained; and performing line sampling on the crop planting area, constructing a three-dimensional curved surface of the planting area, and calculating to obtain the crop planting area. The crop planting area is identified according to the color information, three-dimensional modeling is performed on the planting area in a mode of constructing the space coordinate system, and the planting area is calculated based on the curved surface obtained through modeling, so that automatic detection of the crop planting area is realized, the detection precision is improved, and area deviation caused by different heights of the planting area is avoided.

The invention relates to the technical field of gastrodia elata associated planting, and discloses a gastrodia elata regional planting planning method and system, and the method comprises the steps: generating a gastrodia elata planting task and a plurality of associated crop planting sub-tasks through obtaining the crop planting demand information of a gastrodia elata planting enterprise and a plurality of associated crop planting users in a target planting region in a target planting period; the planting area of each gastrodia elata planting block is considered, and a gastrodia elata and associated crop planting strategy of the target planting area in the target planting time period is planned. Therefore, the gastrodia elata inner-layer associated crops, the gastrodia elata middle-layer associated crops and the gastrodia elata outer-layer associated crops are planted around the gastrodia elata planting area in a surrounding mode, and the microclimate conditions of the planting area can be remarkably improved by ingeniously utilizing the natural insect prevention and bacteriostasis characteristics of the associated crops and the synergistic effect of an annular planting structure and different crops. On the other hand, the implementation difficulty and cost of the gastrodia elata associated planting technology are reduced by means of an associated crop planting technology for planting mature associated crops of a user through external associated crops.

The present invention specifically relates to a method for remotely sensing and monitoring crop data collection and planting area, including the steps of: constructing multi-dimensional crop data; collecting multi-dimensional crop data; analyzing the relationship between the multi-dimensional crop data and the target variable "vegetation type", and sequentially determining the weight between each type value in the multi-dimensional crop data and the target variable "vegetation type" to obtain a determination model; converting new remote sensing data into a feature vector and inputting it into the determination model to obtain the predicted vegetation type; calculating the planting areas of different types of crops based on the predicted vegetation type for remote sensing monitoring of the planting areas of different types of crops. The present application realizes a deeper and more refined analysis and mining of crop data, thereby providing a more accurate and efficient method for remote sensing monitoring of crop planting areas.

A multi-objective optimization method for crop planting considering fuzzy uncertainty includes the following steps: Step 1: Obtain historical data; Step 2: Construct a corresponding fuzzy parameter set based on the historical data; Step 3: Describe the planting area of ​​various crops on different plots as variables, and construct the expression relationship between their total planting area and total yield; Step 4: Construct a fuzzy multi-objective optimization model for crop planting based on the fuzzy parameter set; Step 5: Introduce plot area constraints, crop suitability constraints, crop rotation constraints, and minimum planting area constraints into the fuzzy multi-objective optimization model; Step 6: Obtain the clarified multi-objective optimization model; Step 7: Obtain a Pareto optimal planting scheme set; Step 8: Select the target planting scheme from the Pareto optimal planting scheme set and output the planting area configuration results of various crops on different plots. This invention can obtain a planting method that better conforms to actual production conditions.

The utility model relates to the technical field of ecological planting. The ecological planting greenhouse comprises a guide rail plate, arc-shaped fixing plates are arranged on the other side of the guide rail plate in a sliding mode, and a telescopic covering film is fixed between every two sets of arc-shaped fixing plates; a rear baffle is fixed to the middle of one ends of the two guide rail plates, and a rainwater collecting box is fixed to the outer wall of one side of the rear baffle. The guide rail plates, the underground bolts, the arc-shaped fixing plates, the telescopic covering films, the rollers, the studs and the nuts are used in cooperation, so that the covering area and the overall occupied space of the greenhouse can be adjusted according to the planting area, occupied space is reduced, and workloads of a ventilation system and the like in the greenhouse can be effectively relieved; through cooperative use of the rear baffle, the rainwater collecting box, the sieve plate, the water pump and the water pipe, the device can collect and utilize rainwater, the frequency of frequently transferring water resources in other areas is reduced, and meanwhile the water resource cost is also saved.

The invention belongs to the technical field of greenhouse transformation, and particularly relates to a transformation method for a south-north adjacent old earth wall sunlight greenhouse, which comprises the following steps of: dismantling structures of a northern old sunlight greenhouse except a north wall, east and west gable walls and a front roof foundation; structures, except for the front roof foundation, of the south old sunlight greenhouse are dismantled; soil backfilling is conducted on the sinking space of the ground of the two dismantled greenhouses to the outdoor terrace; the upper end faces of the north wall and east and west gable walls of the northern greenhouse are built to a certain gradient, and the positions, where surface peeling and cracks occur on the inner wall surface and local collapse occurs on the wall body are repaired again; determining the south-north span, the roof angle and the ridge height; a thermal insulation material is embedded in the outer side of the front roof foundation of the south greenhouse; and building east and west gable walls and a framework structure to complete roof covering operation. According to the method, the two adjacent old sunlight greenhouses in the north-south direction can be jointly transformed, the land utilization rate of the greenhouses is greatly increased, and the indoor planting area is increased.

The invention discloses a peanut planting method. The peanut planting method specifically comprises the following steps: (1) variety selection; (2) land preparation; (3) seed preparation; (4) mulching film and drip irrigation zone application; (5) sowing; (6) field management; (7) disease and pest prevention and control; (8) harvesting. The idle space of the sunlight greenhouse is used for planting peanuts, so that the land can be efficiently utilized, and the income of farmers is increased; secondly, the planting mode is also a measure for responding to the national call of increasing the oil planting area and improving the edible oil self-sufficiency rate in China. And thirdly, the peanuts belong to drought-enduring crops, the desert irrigation area has large sandy soil and is suitable for planting the peanuts, and in the sandy soil, the root systems of the peanuts have better ductility and more development space and are beneficial to the growth of the peanuts. And fourthly, the planted peanuts have certain wind prevention and sand fixation effects.

The invention discloses an agricultural machine navigation rapid line entering method, device and equipment and a medium. The method comprises the following steps: firstly, obtaining an on-line starting point position of an agricultural machine; determining an on-line end point position of the agricultural machine on an expected path of the agricultural machine according to the on-line starting point position and an expected on-line distance of the agricultural machine; forming an upper line path of the agricultural machine between the upper line starting point position and the upper line end point position; and then controlling the agricultural machine to move from the upper line starting point position to the upper line end point position along the upper line path. Furthermore, in the on-line process of the agricultural machine, the path of the agricultural machine is planned and navigated, and the problems that the on-line distance is too long and the transverse distance is overshoot in the on-line process due to the fact that the agricultural machine is directly tracked through the expected path and turns around and the like are solved. The planting area of farmers is increased, and the standard of precise operation is met.

The utility model relates to the technical field of greening structures, and discloses a building roof greening structure which comprises a water storage tank, a fixing frame is installed on the top of the water storage tank, and a layer of planting box is installed in the fixing frame. According to the building roof greening structure, a connecting block drives a first supporting rod and a second supporting rod to continuously face upwards, the second supporting rod drives an umbrella cover to turn upwards, and the umbrella cover turns upwards to form a horn mouth shape, so that rainwater is conveniently gathered towards a rainwater sensor in the middle along the outer wall of the umbrella cover; rainwater enters the center pipeline from the position of the rainwater sensor and then enters the water storage tank from the center pipeline through the communication holes, the water storage tank collects the rainwater in a centralized mode, the planting boxes are installed in a layered mode for planting plants, and the planting area can be increased in a limited space through layered planting; meanwhile, the first-layer planting box and the second-layer planting box can form a stepped landscape, and the ornamental value of the greening landscape is increased.

The invention relates to the crossing field of intelligent agricultural insurance and intelligent agriculture, in particular to a corn planting income insurance double-precision double-reduction technology integrated intelligent system based on space-space-ground multi-source data, which comprises a space-space-ground multi-source data acquisition module, a corn planting income insurance management module, a corn planting income insurance management module and a corn planting income insurance management module, the multi-dimensional data acquisition module is used for acquiring multi-dimensional data such as satellite remote sensing, unmanned aerial vehicle aerial survey fine monitoring, ground Internet of Things intelligent sensing, meteorological monitoring, government affairs and markets in the whole corn planting period; according to the method, according to the CGCS2000 national geodetic coordinate system standard, the space, growth state and environment monitoring of a corn planting area are collected, space-air-ground multi-source data and a DSSAT corn growth model are fused, a standardized data set is output, the variety identification accuracy is larger than or equal to 95%, the planting area underwriting error is smaller than or equal to 2%, the yield prediction accuracy is larger than or equal to 92%, and the method is suitable for large-scale popularization and application. According to the method, yield loss-price fluctuation double risk association is integrated, yield and price data are dynamically updated, the insurance claim settlement efficiency and precision are greatly improved, the pain points of single data and inaccurate accounting of traditional agricultural insurance are solved, and a solid data support is provided for double-precision and double-reduction.

The utility model relates to the technical field of river channel ecological slope protection, in particular to a stable river channel ecological slope protection structure which comprises a supporting bottom plate, a planting box is integrally formed on the upper surface of the supporting bottom plate through pouring, and a water permeable hole is formed in the middle of the supporting bottom plate. An inserting block is integrally formed at the end, away from the opening direction of the planting box, of the supporting bottom plate, an inserting groove is formed in the end, close to the opening of the planting box, of the supporting bottom plate, the inserting block is matched with the inserting groove, and side protrusions are arranged on the two sides of the supporting bottom plate in a staggered mode; the supporting bottom plate and the planting box which are integrally formed are poured, and the water permeable hole is formed in the middle of the supporting bottom plate, so that when the supporting bottom plate is flatly laid on a river channel slope, plants can be planted after the planting box is covered with soil, and therefore the supporting bottom plate and the planting box are conveniently combined with the plants, and the protection performance on a river channel is improved; the problem that it is difficult to plant gramineous plants by adopting concrete slope protection traditionally is solved, meanwhile, the planting area is increased through the planting boxes, and the protection performance on the river channel slope is improved.

The invention discloses a decoupling type fish and vegetable symbiotic system and an implementation method, and belongs to the technical field of ecological agriculture and circulating planting and breeding. The decoupling type fish and vegetable symbiotic system comprises a box body culture unit used for aquaculture; the input end of the digestion filtering unit is connected to the water outlet end of the breeding unit, and the digestion filtering unit is used for filtering and nitrifying the breeding wastewater; the planting unit adopts an aeroponic cultivation device, and the aeroponic cultivation device is provided with a spraying device; the double-loop fertilizer supply system comprises a fish culture water circulation branch and a nutrient solution branch, and the fish culture water circulation branch is used for leading water treated by the digestion and filtration unit to the spraying device; and the control unit is configured to control the double-loop fertilizer supply system, so that the spraying device selectively sprays fish culture water or nutrient solution, the limitation that the culture density and the planting area must be strictly matched is broken through, the fishes and the vegetables can be in the optimal growth state, and the efficiency and the stability of the system are improved.

The present application aims to provide a kind of ecological sensitive area near zero carbon road construction period carbon emission optimization method and system, it is related to carbon emission management technical field.The method includes: according to unit engineering demand, first position, construction position, first carbon emission factor, second carbon emission factor, required station, third carbon emission factor and clean energy supply information, determine optimization basic carbon emission amount;Get construction measure carbon emission and special carbon emission, and determine total carbon emission, further determine the type of target carbon fixation plant and the planting area of each target carbon fixation plant.According to the present application, the automation degree of calculation can be improved, the calculation efficiency and accuracy can be improved, and various carbon emission projects can be automatically optimized.When there are many carbon emission projects, the optimal scheme can be automatically screened, the carbon emission amount can be reduced, and the planting scheme of carbon fixation plant can be designed to effectively compensate for carbon emission, thereby effectively reducing carbon emission and achieving the goal of near zero carbon.

The application belongs to the technical field of agricultural planting, and provides a smart agricultural planting control method and system based on cloud computing, which comprises the following steps: extracting actual planting result data under historical cloud planting instructions, dividing a field into a plurality of management units according to the same planting area, analyzing the fruit malformation rate of each management unit under the current cloud planting instruction, and evaluating whether cloud algorithm reconstruction is needed; after determining that cloud algorithm reconstruction is needed, extracting environment parameters related to crop growth, analyzing and determining the correlation degree between the environment parameters and the fruit malformation rate, and identifying core correlation parameters that have a great influence on the fruit malformation rate of crops; the application divides homogeneous regions through space-time clustering, customizes special planting instruction models and environment suitable intervals for different regions, solves the problem that traditional global unified instructions cannot adapt to the soil and environment differences in the field, and can effectively reduce the fruit malformation rate.

The utility model discloses an external three-dimensional planting wall of a novel connecting structure, which comprises a planting wall body, the left side and the right side of the planting wall body are provided with protruding edge beams, the top of the planting wall body is provided with joint bars used for being connected with a roof in advance, and the outer side of the bottom of each edge beam is provided with an embedding groove used for embedding a half connecting box; a plurality of hollow building blocks are arranged on the planting wall body, the hollow building blocks are located in an area covered by the two edge beams, a plurality of placing through holes are formed in the hollow building blocks, and a plurality of planting boxes are detachably inserted into the placing through holes. The planting box is additionally arranged on the basis of the planting wall body capable of being rapidly constructed, the attractiveness of the wall body is improved, meanwhile, the planting area can be increased, the planting box can be detached and can be designed into different shapes, meanwhile, in hot days, the planting box can be detached, the containing through hole of the hollow building block becomes a ventilation through hole, and the ventilation effect is good. Ventilation in the wall is improved, and the interior comfort is improved.

This invention discloses a plant cultivation system, belonging to the technical field of plant cultivation systems. The system includes a cultivation chamber, double-sided supplemental lighting fixtures, multiple cultivation units, and a ventilation system. By centrally arranging double-sided supplemental lighting fixtures within a closed chamber, and layering multiple nutrient return components and multiple inclined cultivation pots on mounting frames on both sides of the fixtures, with the cultivation chambers of the pots inclined towards the supplemental lighting fixtures, and a ventilation system at the top of the chamber, all planting surfaces can receive uniform light and ventilation. Simultaneously, the ventilation system dissipates heat from the lighting fixtures, eliminating the need for additional cooling devices and resulting in lower energy consumption. Compared to traditional flat-layer cultivation, this solution offers higher space utilization efficiency, more efficient use of light resources, complete recycling of nutrient solution, and more uniform overall crop light exposure. Annual yield for the same planting area is significantly higher than traditional methods, while requiring less manpower and lower costs for daily maintenance, making it suitable for large-scale, high-efficiency cultivation.