26 results about "Farming industry" patented technology

The invention relates to the technical field of agricultural market analysis, in particular to an agricultural product whole industry chain dynamic decision-making system which comprises the steps of collecting agricultural data, establishing a blood relationship graph and calculating a quality score, tracing a problem source and marking an affected result when the quality score is lower than a preset score, and obtaining a quality influence result; meanwhile, agricultural data is decomposed into trend, season and random components, and the trend, season and random components are fused again after being processed; receiving the fused agricultural data and the quality influence result to construct an agricultural industry chain coupling network, and analyzing historical agricultural data to obtain a causal effect of agricultural nodes; simulating adjustment combinations of different agricultural elements based on a causal effect to generate a plurality of decision candidate schemes; searching a Pareto optimal solution in the multiple decision candidate schemes by adopting a multi-objective planning algorithm to obtain an optimal decision scheme; and receiving the optimal decision scheme and decomposing the optimal decision scheme into specific execution instructions, and performing dynamic coordination optimization among links of agricultural product planting, processing, circulation and sales.

This invention provides a high-efficiency fermentation device and method for organic fertilizer in the bio-agricultural industry, relating to the field of fermentation equipment technology. It includes a frame, a fermentation tank, and a plowing assembly. The fermentation tank is located inside the frame, and the plowing assembly is located above the interior of the fermentation tank. The plowing assembly includes a hanger, a first moving rod, and a second moving rod. The hanger is located above the interior of the fermentation tank. This invention achieves coordinated movement by multiple sets of horizontally arranged first moving rods moving synchronously above the inner side of the hanger, and multiple sets of longitudinally arranged second moving rods moving synchronously below the inner side of the hanger. This coordinated movement drives several sets of mounting blocks to produce flexible, linked displacements, which in turn drive the plowing rods below the mounting blocks to move synchronously. This enables the plowing rods to perform omnidirectional, multi-point plowing operations inside the fermentation tank, breaking up the material's compacted layer, making the material fully loose and breathable, promoting the full reproduction of microorganisms, accelerating the fermentation process, and achieving high-efficiency fermentation of organic fertilizer.

This invention relates to the field of agricultural information technology and discloses a method for constructing an innovative platform for cultural tourism to support agricultural industrialization based on historical resources. The method includes the following steps: S1: Multi-dimensional deconstruction and annotation of historical resources: Historical resources are collected, and spatiotemporal positioning, thematic hierarchical classification, and semantic attribute annotation are performed to construct a knowledge graph containing multi-dimensional associations of "historical events - geographic space - agricultural production - folk culture." The spatiotemporal positioning is accurate to the year, month, latitude, longitude, or administrative code. Through multi-dimensional deconstruction (spatiotemporal positioning, thematic classification, and semantic annotation) and knowledge graph construction, the originally isolated historical materials are transformed into machine-understandable and reasonable digital assets, supporting cross-temporal and cross-category related queries (such as "what crops were planted in a certain place under what background in a certain year"), facilitating in-depth exploration of potential points of integration between cultural tourism and agriculture.

The application discloses a running method of a multifunctional hybrid track carrying system of a mountain photovoltaic agricultural garden, and relates to the field of photovoltaic agricultural gardens. The multifunctional hybrid track carrying system comprises a plurality of photovoltaic array blocks, and a rigid arc-shaped connecting track is arranged at one end of each adjacent flexible cableway. Each rigid arc-shaped connecting track is lower than the corresponding two adjacent flexible cableways. The end of the rigid arc-shaped connecting track is connected with the flexible cableway through a transition section from the side of the corresponding flexible cableway. At the intersection of the flexible cableway and the transition section, the flexible cableway is wrapped inside the transition section. A rigid guide track is arranged at the head and tail of each group of flexible cableways. The running method comprises the following steps: transporting agricultural equipment / fertilizer to a predetermined position of the mountain photovoltaic agricultural garden; and transporting agricultural products out of the mountain photovoltaic agricultural garden. The method realizes further organic integration of the solar photovoltaic industry and the agricultural industry by utilizing the characteristics of the widely used flexible cableway, the photovoltaic support structure, the space below the solar photovoltaic panel and the arrangement of the photovoltaic array blocks.

The utility model provides manure water treatment equipment for breeding industry, which comprises a rack, a compression box is arranged on the rack, the manure water treatment equipment also comprises a feeding device, the feeding device comprises a temporary storage hopper arranged on one side of the compression box, the lower end of the temporary storage hopper is connected with a first filter screen, the first filter screen is connected with a spiral conveying frame, and the spiral conveying frame is connected with a second filter screen. A conveying motor is arranged on the spiral conveying frame; the material pressing device comprises screw rods arranged on the two sides of the compression box, the screw rods are sleeved with moving plates, push rods are arranged on the end faces of the moving plates, the push rods are connected with push plates, the push plates are arranged in the compression box, the screw rods are connected with chains through gears, and the chains are connected with a compression motor; the water receiving device comprises a first water collecting tank arranged below the first filter screen, the first water collecting tank is connected with a second water collecting tank, and the device has the advantages that liquid dung treatment can be achieved, the working efficiency is high, the structure is simple, and operation is easy.

This invention relates to the field of shellfish aquaculture equipment technology, specifically to a semi-automated aquaculture and harvesting device for single-unit oyster farming in inner bay waters. The device includes a surface float, a work vessel, and a shuttle. The surface float includes a traction rope; the work vessel includes a hull, a first fixed post, a second fixed post, a support frame, a winding device, a servo motor, and a spring buckle, with the traction rope threaded through the spring buckle; the shuttle includes a floating platform, a guide frame, a guide connecting rod, an adjustment frame, and two connecting rings, which are respectively fitted onto the outer sides of the first and second fixed posts. The guide frame is located on the front side of the upper surface of the floating platform, and the adjustment frame is located on the rear side of the upper surface of the floating platform. The guide connecting rod connects the guide frame and the adjustment frame. This invention, through optimized design of the surface float, work vessel, and shuttle, achieves semi-automated operation of oyster farming and harvesting, resulting in significant economic and social benefits. It can be widely applied to the oyster farming industry in coastal inner bay waters.

The invention provides a multipurpose plant growth environment control system, and relates to the field of environment control systems. The multipurpose plant growth environment control system comprises an environment sensing unit, an execution control unit, a core control unit, a remote interconnection unit and a business mode adaptation unit, and the environment sensing unit comprises a PH sensor, a liquid level sensor, an EC sensor, a room temperature sensor, a humidity sensor, an air temperature sensor, a sunlight sensor and a COO sensor. The data acquisition unit is used for acquiring nutrient solution state, greenhouse environment, outdoor environment and gas concentration parameters and is connected with the core control unit through a data bus. The multipurpose plant growth environment control system has the advantage of high automation degree, is high in commercial value, can adapt to multiple scenes, reduces the operating cost, promotes the continuous upgrading of a household cultivation technology, provides technical support for emerging modes such as family farms and community agriculture, and assists in forming a small-scale and high-output-value agricultural industry system.

The invention provides a microbial fertilizer and application thereof, and belongs to the technical field of microorganisms, the microbial fertilizer comprises bacillus cereus RBC-1 with the preservation number of CCTCC NO: M 2021024 and klebsiella oxytoca LZST 2022-02 with the preservation number of CGMCC NO.24286, and the microbial fertilizer comprises bacillus cereus RBC-1 with the preservation number of CCTCC NO: M 2021024 and klebsiella oxytoca LZST 2022-02 with the preservation number of CGMCC NO.24286. The microbial fertilizer provided by the invention can promote plant seeds to germinate under saline-alkali conditions, also has good saline-alkali tolerance, can effectively reduce the alkali content in soil, and can be used for improving saline-alkali soil; the saline-alkali soil conditioner has high stress resistance and growth promoting effects on plants, can promote the growth of plants in saline-alkali soil, and has a good application prospect in agricultural industry application.

This system provides a technical solution for managing product sales, inventory, and deliveries through QR codes and predictive analytics. It incorporates algorithms that generate and assign unique QR codes to products based on real-time sales data from farmers. These QR codes provide direct links to product information, facilitating efficient inventory management and customer engagement. The system also leverages predictive analytics to forecast product demand by analyzing historical sales data, adjust inventory levels, and optimize delivery driver assignments based on proximity to farms. The hardware supporting the system includes servers, processors, network components, and scanning devices to ensure reliable operation and data synchronization. By automating QR code generation, integrating sales data, and dynamically assigning drivers, the system improves operational efficiency, minimizes errors, and enhances the customer experience.

The invention belongs to the technical field of modern agriculture, and particularly relates to application of an SlWRKY46 gene in improvement of tomato salt stress resistance. According to the invention, a tomato SlWRKY46 gene knockout and overexpression plant is constructed through a gene means, and the expression level of the SlWRKY46 protein is regulated to research the regulation mechanism of the SlWRKY46 protein on the salt resistance of tomatoes. Results show that salt stress can obviously induce transcription of SlWRKY46 and accumulation of SlWRKY46 protein, and overexpression of SlWRKY46 under salt stress can improve accumulation of tomato biomass, increase the content of green fluorescence in leaves and reduce the content of conductivity, so that salt stress tolerance of tomatoes is improved. In the modern agricultural industry, a gene resource is provided for cultivating a salt-tolerant tomato new variety, and the gene has a relatively good potential application value and lays a theoretical foundation for researching a mechanism of tomato plants responding to stress signals and a molecular mechanism of the tomato plants responding to complex and changeable environmental factors.

The invention relates to an agricultural industry economic risk tracking and early warning method and system based on key indexes. The method comprises the following steps: constructing a generative adversarial network comprising a scene generator and a double-task discriminator, inputting historical agricultural indexes into the generator to generate a pseudo-risk scene and a candidate threshold value, and inputting a real sample and a generated sample into the discriminator for adversarial training; the discriminator discriminates sequence authenticity and threshold-scene matching rationality at the same time, and enables the network to learn complex mapping between a risk scene and an early warning threshold through iterative optimization, thereby training a threshold prediction sub-network. During early warning, a complete scene is spliced based on a real-time index and a prediction sequence to be input into the network, and an optimal threshold highly matched with the current risk is dynamically generated, so that adaptive and scene-sensitive intelligent early warning is realized, the defects of lagging and rigidness of a traditional threshold method are overcome, and the accuracy and foresight of agricultural risk early warning are remarkably improved.

This invention belongs to the field of seahorse farming technology and discloses a feed additive that promotes the growth of striped seahorses and its application. Specifically, it discloses a feed additive comprising carotenoids, sea squirt powder, oyster powder, mannan oligosaccharides, probiotics, and vitamins. This invention provides a feed additive containing carotenoids, sea squirt powder, oyster powder, mannan oligosaccharides, probiotics, and vitamins. Adding this feed additive to seahorse feed can significantly promote seahorse growth (significantly increasing weight gain rate, specific growth rate, and body length growth rate) and improve seahorse survival rate. This feed additive not only helps improve the economic benefits of seahorse farming but also provides strong technical support for the sustainable development of the seahorse farming industry.

This utility model discloses a temperature-controlled tent for agricultural industrial parks, including a tent and a ventilation mechanism. The ventilation mechanism includes a limiting frame fixedly connected to the inner wall of the tent. A sealing gasket is fixedly connected to the outer side of the limiting frame, and a ventilation door is movably connected to the left side of the sealing gasket. A round rod is fixedly connected to the inner wall of the ventilation door, and the bottom of the round rod is movably connected to the bottom of the inner wall of the tent via a bearing. When the round rod rotates, it can drive the ventilation door to open outward. A drive mechanism is provided on the left and right sides of the tent. When in use, this utility model, under the action of the ventilation mechanism, drive mechanism, clutch assembly, transmission mechanism, control mechanism, and limiting assembly, can quickly ventilate and dissipate heat from the temperature-controlled tent, avoiding the poor ventilation efficiency caused by only being able to open the roof for ventilation in agricultural industrial park temperature-controlled tents, thus giving it the advantage of ease of use.

The invention discloses a agriculture-aiding live broadcast AI large model system based on natural language and image recognition, and belongs to the technical field of artificial intelligence. At present, agricultural product sales is hindered due to the fact that an anchor is busy in production, energy is dispersed, live broadcast explanation is absent, and question answering is inaccurate. The system aims at breaking the bureau and comprises a plurality of key modules such as a knowledge base and deep learning. The knowledge base stores mass agricultural knowledge and response templates; the deep learning module mines agricultural product text and image information optimization reply identification; the neural network algorithm module processes input data; the natural language module analyzes audience character consultation; the image recognition module insights the appearance and quality of agricultural products; the intelligent interaction module generates targeted reply and recommendation information; the audience feedback module collects live broadcast feedback and optimizes user portraits and models. The system has remarkable advantages, can accurately answer questions and intelligently recommend, realizes model self-optimization, assists agricultural product sales and agricultural industry digital transformation, and has great application value.

The present invention relates to a photobioreactor designed for the cultivation of microalgae, specifically the microalga Chlorella, with applications in animal and poultry feed as well as human food additives. This invention falls within the fields of microbiology, food preparation, human and animal nutrition, and agricultural industry practices. The photobioreactor is engineered to enable cost-effective mass production of microalgae by incorporating systems for injecting micronutrients into the culture medium. Additionally, the invention includes a classification system for sorting the produced microalgae and a refinement process for preparing the classified microalgae as a final product suitable for use in various nutritional compounds.

This invention relates to a large-scale model-based multi-agricultural industry information full-chain service system and method, specifically for agricultural technology extension services, belonging to the field of systems or methods particularly applicable to agriculture. The system includes: an information acquisition device for collecting multi-agricultural industry information of a designated agricultural planting area during the current season's planting; and a planting prediction device for intelligently predicting crop production quantities based on the multi-agricultural industry information using a large-scale model-based full-chain service. This invention addresses the technical problem of difficulty in predicting planting effects based on multi-agricultural industry information for different agricultural planting areas. By designing different large-scale models-based full-chain services for different agricultural planting areas, and based on pre-production industry information, in-production industry information, and even some post-production industry information, it achieves intelligent prediction of planting effects, thereby solving the aforementioned technical problem and providing valuable reference data for the implementation of subsequent agricultural technology extension services.

The invention provides a dynamic credit scoring method and system based on agricultural whole industry chain behavior data. The method comprises the steps of collecting agricultural technology learning and application behaviors, industry chain transaction and operation data and environment and time sequence data of a user; the scoring index weight is dynamically adjusted through a seasonal weight adaptive module according to an agricultural hour calendar, the user index and the average level of the same category of farmers in the same region are relatively evaluated through a regional correction module, and the agricultural material and agricultural machine data and the operation output are associated through a deep causal analysis module to calculate the use efficiency; and finally, outputting a credit score by using the credit scoring model. The system comprises corresponding function modules. According to the method, the agricultural industry rule is deeply fused into the credit model for the first time, the technical problems that a traditional method cannot quantify the operation capability, is not suitable for agricultural seasonal and regionality and cannot establish input-output causal association are solved, and more accurate and more economical credit evaluation of an agricultural operation subject is realized.

The embodiment of the invention relates to the technical field of agricultural management, and discloses an agricultural industry chain management method based on multi-module cooperation, and the method comprises the steps: generating an electronic order associated with an order placing operation; a specific live video clip associated with the order placing operation time is automatically intercepted, and the specific live video clip is uniquely bound with the electronic order; taking the first digital fingerprint of the specific live video clip, the core information of the electronic order, and the logistics tracking information and the second digital fingerprint of the quality inspection report generated in the subsequent supply chain link as a group of associated data records, and storing the data records in a block chain network; after the user finishes ordering, dynamically determining a delivery node and a logistics path of the electronic order; and based on the aggregation information of the plurality of electronic orders collected in the preset time window, executing optimal scheduling of the supply chain resources. According to the scheme of the embodiment of the invention, the live video and the full-link traceability information corresponding to the order are verified through the block chain, and the sense of consumption trust is enhanced.

The invention relates to a rural residence layout planning method and system, and relates to the field of rural construction technologies, and the method comprises the steps: obtaining a whole village region, existing residence of the region, and internal roads of the region; randomly generating regional virtual residence points and combining the regional virtual residence points to determine a virtual residence point scheme; determining an industrial development area, determining an industrial coverage ratio according to the industrial development area and the whole village area, and defining an effective coverage scheme according to the industrial coverage ratio; determining a virtual construction number in each coverage effective scheme according to the regional virtual settlement points, and defining a coverage reasonable scheme according to the virtual construction number; determining a residence reachable coefficient according to the existing residence of each region, the virtual residence of the region and the inner road of the region in the reasonable coverage scheme; and determining the settlement reachable coefficient with the maximum numerical value so as to define the corresponding reasonable coverage scheme as a settlement layout scheme. The method and the system have the effects of guaranteeing normal development of the agricultural industry and keeping contact between residents.

The present application belongs to the field of bio-agricultural industry, and discloses a pig, cattle and sheep feed preparation process based on genetic algorithm. The process is executed by relying on a closed-loop system of bidirectional data flow, generates a compensated target nutrient matrix through reverse over-compensation matrix multiplication, and outputs an initial raw material ratio sequence through multi-objective genetic algorithm optimization. The water vapor denaturation boundary of heat-sensitive active substances is analyzed to generate a process safety threshold set for the compression processing equipment. The on-site PLC controls the multi-stage hardware processing subsystem to complete granulation, and the near-infrared spectrometer and hardness tester are used for online detection of finished products. The process loss prediction matrix is updated along the negative gradient based on the bidirectional deviation residual. The present application eliminates the nutrient attenuation fault of the formula and physical processing space, accurately protects the biological heat-sensitive nutrient components, realizes process self-learning correction, improves the feed nutrient retention rate and production stability, and promotes the intelligent upgrading of bio-agricultural industry feed preparation.

This invention discloses a method for achieving near-zero carbon emissions in agricultural industrial parks based on time-shiftable load scheduling, comprising the following steps: analyzing the time-shiftable characteristics of the basic load operating throughout the entire time period of the agricultural industrial park to be tested, outputting the time-shiftable load, as well as the time-shiftable time period and energy consumption of the time-shiftable load; sorting the start-up and shutdown of the load equipment in the agricultural industrial park according to the time-shiftable time period and energy consumption, constructing a load priority phasor, and prioritizing the time-shiftable loads; spatiotemporally coupling the prioritized time-shiftable loads with the energy supply equipment of the agricultural industrial park; calculating and comparing the carbon emissions of the agricultural industrial park before and after spatiotemporal coupling, thereby achieving closed-loop feedback control for near-zero carbon emissions in the agricultural industrial park. This method achieves lower carbon emissions while ensuring that the energy demand of the agricultural industrial park is not reduced, effectively improving the energy utilization efficiency of the park.

The application provides a method for improving the soil health function of a facility vegetable field, which improves the soil by ditching and laying a high-carbon isolation functional layer in the planting area of the facility vegetable field and then covering and flattening the soil, wherein the high-carbon isolation functional layer comprises, from bottom to top, a high-carbon stable layer, a storage and capacity-increasing layer and an adsorption and release layer. The high-carbon stable layer is a mixture of compacted long-acting carbon materials and skeleton support materials, the storage and capacity-increasing layer is a mixture of agricultural waste to which a microbial agent is applied and water-retaining materials, and the adsorption and release layer is a mixture of porous medium-acting carbon materials and natural mineral controlled-release fertilizers. The above method can solve the problems of soil acidification, hardening, salinization, accumulation of nitrate and organic pollutants and the like in the existing facility vegetable field, improve the soil micro-ecological environment, improve the soil quality, and ultimately realize the quality improvement, yield increase and healthy and sustainable development of the facility vegetable field, and has important significance for the development of the facility agriculture industry.

The present application provides a kind of mountain hilly region cultivated land plot precision extraction method, comprising: obtaining the remote sensing image of the region to be extracted, and pre-processing remote sensing image;The rough cultivated land plot boundary graph is obtained by inputting the remote sensing image after pre-processing into cultivated land plot extraction model;Whether the rough cultivated land plot boundary graph is completely segmented based on the coupling strategy of decision rule is judged;Based on the optimization of the rough cultivated land plot boundary graph that is completely segmented by smooth contour line reconstruction rule, the optimized cultivated land plot boundary graph is used as the final cultivated land plot extraction result.The present application realizes the accurate demarcation of the fine cultivated land plot in complex mountain hilly region by constructing the cultivated land plot extraction model suitable for the characteristics of agricultural planting area, provides reference for large-scale land plot fine classification, meets the social needs such as land fine management and agricultural industrial structure adjustment dynamic monitoring.

This utility model discloses a multi-layer ventilation filter for the aquaculture industry, relating to the technical field of air filtration equipment. The utility model includes a mounting frame with several mounting holes on its inner wall. A dustproof plate is slidably connected to the top outer wall of the mounting frame. An adjustment mechanism is provided on the outer wall of the mounting frame, including a rotating shaft. The outer wall of the rotating shaft is rotatably connected to the outer wall of the mounting frame, and a gear disk is rotatably connected to the outer wall of the rotating shaft. By providing mounting holes, this utility model allows the mounting frame to be quickly installed on a wall or external device when needed. The air filter membrane is then fitted onto a support tube, and the support tube is inserted into a limiting block and rotated at a certain angle. This facilitates the user in fixing the air filter membrane to the device and allows for adjustment of the air filter membrane, ensuring it remains taut.

This invention relates to the field of agricultural industry data analysis technology, specifically to a knowledge graph-based intelligent mining method and system for agricultural industry decision-making. The method includes acquiring land parcel data, drying room data, deep-processing enterprise data, and drying batch records within a target agricultural industry region to construct a target agricultural industry relationship graph; allocating batch contributions to land parcels to obtain graded output contribution weights and constructing deep-processing specification constraint vectors; calculating the graded attainability strength among land parcels, drying rooms, and deep-processing enterprises, generating a graded attainability strength change sequence, and identifying the corresponding specification raw material gap for the next production season; screening and adjusting land parcels to obtain adjusted land parcels after variety replacement, recalculating the graded attainability strength after variety replacement, and determining planting structure adjustment decisions and drying room procurement and allocation decisions. This invention can improve the objectivity and predictability of specification raw material gap identification and provide a basis for planting structure adjustment and drying room procurement and allocation.

The application discloses an agricultural industry O2O intelligent supply chain collaborative management platform and a construction method thereof, and the platform comprises a farmer end data acquisition module, an intelligent prediction and scheduling module, an O2O transaction matching engine, a cold chain logistics dynamic optimization module, a block chain traceability storage module and a collaborative control middle platform. The construction method comprises the following steps: collecting multi-dimensional agricultural data and performing space-time feature coding; adopting a hybrid deep learning and self-adaptive optimization algorithm to generate a production and sales matching strategy; combining a cold chain transportation energy consumption model and a path real-time adjustment mechanism to realize logistics optimization; and utilizing the non-tamperable characteristics of a block chain to record full-link data, so as to realize agricultural product traceability and transaction credit guarantee. The application can effectively improve the response speed of the agricultural supply chain, reduce the loss rate and improve the transaction transparency, and is suitable for various agricultural industry modes.