226 results about "Geoponic" patented technology

The invention relates to the technical field of farmland nutrient management, and discloses an organic fertilizer application method and system for dynamic management of farmland nutrients, and the method comprises the steps: obtaining and standardizing original data of a farmland environment, extracting features to generate farmland feature vectors, and completing nutrient demand recognition and fertilization type analysis; integrating the data to generate an enhanced farmland matrix, performing multi-dimensional nutrient analysis, calculating application necessity and an environmental influence value, and generating decision data after verification; constructing an enhanced fertilizer feature space based on an organic fertilizer library and the decision data, completing fertilizer matching, proportioning and application path optimization, and outputting pre-inspection report data; and collecting application data to carry out anomaly detection and adaptive learning. The system comprises a processor and a memory, and instructions stored in the memory can implement the method. According to the invention, through multi-dimensional data integration and intelligent decision making, the precision and scientificity of farmland nutrient management are improved, and the system is suitable for precise fertilization requirements of modern agriculture.

The invention relates to the technical field of agricultural information, discloses a corn precise topdressing prescription map generation method based on unmanned aerial vehicle multispectral remote sensing, and effectively solves the key problems of insufficient monitoring precision, poor environmental adaptability, low decision intelligent level and the like in the traditional fertilization technology. Through the unmanned aerial vehicle multispectral imaging technology, efficient and accurate monitoring of the corn nitrogen nutrition condition is achieved; in combination with a machine learning algorithm, an intelligent fertilization decision model adapted to different environmental conditions is established, and the fertilization precision in a complex farmland scene is remarkably improved; and a multi-source data fusion technology is adopted, and crop growth, soil characteristics and meteorological factors are comprehensively considered, so that the fertilization scheme is more scientific and reasonable. Compared with a traditional method, the method has the advantages that accurate variable fertilization can be realized according to actual needs of crops, the utilization rate of the fertilizer is increased, environmental pollution is reduced, and reliable technical support is provided for sustainable development of modern agriculture.

The invention belongs to the technical field of agronomy experiment devices, and particularly relates to a mulch-mulched soil environment simulation device which comprises a closed space, an air inlet and an air outlet. The mulching film sample is arranged in the closed space; the top of the soil simulation assembly is in contact with the bottom of the mulching film sample, and the soil simulation assembly is used for simulating a soil environment covered by the bottom of the mulching film sample; the natural environment simulation assembly is communicated with the closed space, the natural environment simulation assembly is used for simulating environmental conditions of the top of the mulching film sample, and the environmental conditions comprise temperature and humidity parameters, illumination parameters, rainfall parameters and wind speed parameters. According to the invention, researchers can accurately and controllably carry out experiments indoors, simulate soil states under different mulching film materials and environmental conditions, and deeply understand the influence of mulching film mulching on key parameters such as soil moisture, temperature and gas exchange. Scientific basis is provided for agricultural production and crop management, and sustainable development of agriculture is promoted.

A small intelligent Chinese cabbage harvester comprises a vehicle body, a harvesting mechanism is arranged at the front end of the vehicle body, a collecting box is arranged on the vehicle body, and the harvesting mechanism comprises a first conveying module, a soil loosening tool rest, a vegetable harvesting shifting rod module and a positioning module. The first conveying module and the vehicle body are obliquely assembled, the lower end of the first conveying module is located at the front end of the vehicle body, and the higher end of the first conveying module is higher than the collecting box. The soil loosening tool rest is fixedly assembled with the vehicle body, and the front end of the soil loosening tool rest exceeds the lower end of the first conveying module. The number of the vegetable collecting shifting rod modules is two, and the two vegetable collecting shifting rod modules are located on the two sides of the first conveying module respectively. The positioning module is assembled and fixed to the vehicle body and used for positioning the positions of Chinese cabbages. Compared with the prior art, the method has the advantages that the method is suitable for small-scale planting in rural areas, and the mechanization level of small-field-mu agriculture can be improved. And the harvested Chinese cabbages have no damage on skins, and the shelf life is greatly prolonged.

The invention belongs to the technical field of agricultural irrigation, and discloses a precision agriculture water and fertilizer integrated distribution method, which comprises the following steps: S1, data acquisition; s2, data processing and analysis; s3, formulating a water and fertilizer formula; s4, water and fertilizer distribution and conveying The method has the beneficial effects that by comprehensively collecting farmland soil, weather and crop growth data, a crop growth and water and fertilizer demand model is constructed, and accurate prediction and scientific formula making of water and fertilizer demands are achieved; by utilizing a drip irrigation and intelligent irrigation control system, water and fertilizer distribution is accurately regulated and controlled, the resource utilization efficiency is remarkably improved, waste is reduced, healthy growth of crops is promoted, and the yield and quality are improved; in addition, due to precise management, use of chemical fertilizers is reduced, environmental pollution is relieved, the ecological environment is protected, the labor intensity of farmers is reduced due to the intelligent management characteristic, and the production efficiency and flexibility are improved.

The invention relates to the technical field of intelligent agriculture, in particular to a planting management method and system for intelligent agriculture, and the method comprises the steps: S1, obtaining multi-modal data through configuring an independent sensing module and a local control execution end for each micro-block; s2, recognizing a current crop variety in real time according to the multi-modal data by adopting a low-power-consumption edge computing device in combination with image recognition; when the system is used, each micro-block operates independently, maintenance of each plant can be refined, multi-source sensing data can be fused, the problems of data lag and weight deviation among different sensors are solved, full-automatic feedback regulation and control are achieved, the labor burden of workers is reduced, low-power-consumption and high-real-time recognition is facilitated, multi-source data such as images and fusion of temperature and humidity are achieved, and the system is suitable for popularization and application. According to the method, the identification accuracy is improved, the problem of crop confusion which is like a long variety can be solved conveniently, accurate management in multi-variety mixed cropping planting can be achieved conveniently, and the accuracy of fine management and control of different demands of multiple different crops in a small range can be improved.

The present disclosure provides guided microbial remodeling (GMR) methods for the rational improvement of plant-associated microbes to perform plant-beneficial functions. The GMR methods described herein allow for non-intergeneric genetic optimization of key regulatory networks within the microbes, which improve plant-beneficial functions over wild-type microbes but don't have the risks associated with transgenic approaches (e.g., unpredictable gene function, public and regulatory concerns, etc.). The present disclosure also provides remodeled microbes and compositions thereof. The utilization of remodeled microbes and compositions thereof will enable farmers to realize more productive and predictable crop yields without the nutrient degradation, leaching, or toxic runoff associated with traditional synthetically derived fertilizers.

The invention discloses a method for producing a liquid bacterial fertilizer by using traditional Chinese medicine residues, and belongs to the technical field of liquid bacterial fertilizers. The method specifically comprises the following steps: (1) pretreatment of traditional Chinese medicine residues: collecting decocted traditional Chinese medicine residues, removing impurities, crushing and extruding; (2) adding auxiliary materials: adding crop straws, brown sugar, soybean meal and a fermentation inoculant, and uniformly stirring; (3) fermentation and decomposition: putting the mixture into a fermentation tank for fermentation and decomposition, regularly turning over the mixture through a turner during fermentation and decomposition, and stopping fermentation when the color of the mixture is dark brown, no odor exists and the flavor of distiller's yeast exists; (4) extruding and filtering: extruding and filtering, and collecting filtrate to obtain the traditional Chinese medicine residue liquid bacterial fertilizer. The traditional Chinese medicine residues are converted into the liquid bacterial fertilizer, so that the soil quality can be improved, the crop yield can be increased, the dependence on chemical fertilizers and pesticides is reduced, and the goal of sustainable agriculture is achieved.

The invention relates to the technical field of concealed project acceptance, and discloses an alpine region bluegrass cold-resistant growth-promoting nutrient solution and an application method thereof.The nutrient solution is composed of main nutrient elements such as nitrogen, phosphorus and potassium and microelements such as iron, manganese, zinc, copper and boron, and amino acid substances such as glycine, alanine and proline are added; therefore, comprehensive and balanced nutrition support is provided. Through a scientific fertilization strategy, including three stages of seed treatment, seedling stage management and growth stage management, and in combination with a drip irrigation system and a foliage spraying technology, efficient utilization of nutrients and healthy growth of plants are ensured. According to the method, the growth speed and biomass of the bluegrass are remarkably increased, the soil structure is improved, the stress resistance of crops is enhanced, the nutrient utilization efficiency is improved, and finally the product quality and market value are improved; the comprehensive benefits are beneficial to promoting the sustainable development of agriculture in alpine regions.

The invention discloses an intelligent agricultural greenhouse for modern agriculture, and the greenhouse comprises a greenhouse frame which is internally provided with an intelligent inspection mechanism. The mechanism is mainly composed of a pair of sliding rails, an electric sliding block capable of moving on the sliding rails, a first transverse plate connected with the electric sliding block and a loader installed at the lower end of the first transverse plate. And a visual detection mechanism and a targeted spraying mechanism are arranged on the loader. The visual detection mechanism is responsible for collecting image information of crops in the greenhouse, and the targeted spraying mechanism is used for executing precise pesticide application work. The device has the remarkable beneficial effects that precise positioning and local pesticide application can be achieved, and the problems of resource waste and environmental pollution caused by a traditional wide pesticide spraying method are fundamentally avoided. The system can effectively protect the natural control ability of beneficial organisms and ecological systems and reduce the risk of soil hardening and underground water pollution, thereby being beneficial to improving the soil productivity and environmental bearing capacity and finally ensuring the safety and quality of agricultural products.

The invention discloses a microbial inoculum for inhibiting beet root rot and application of the microbial inoculum, the microbial inoculum is obtained by fermenting brevibacterium alimentarius, the microbial inoculum has the remarkable characteristics of saline-alkaline tolerance, high viable count and the like, and the yield loss caused by diseases can be reduced by effectively preventing and treating the beet root rot, so that the yield and quality of crops are improved. After the fungicide is used for treatment, in normal soil, the seed germination rate and morbidity are different from those of a control group. Particularly, in disease nursery soil, the germination rate of the seeds can be remarkably increased and the morbidity can be reduced by treating the seeds with the bacterial liquid. The microbial agent provided by the invention not only reduces the investment cost of chemical pesticides, but also can improve the yield and quality of crops, and brings higher economic benefits. In addition, the biological agent is environment-friendly, is beneficial to maintaining the health and stability of a soil ecosystem, and promotes the sustainable development of agriculture.

The invention relates to the technical field of agriculture, in particular to a multi-item processing robot for modern agriculture, which comprises a tracked robot, a picking mechanical arm fixed at the top end of the tracked robot and a fixing frame fixed outside the top end of the tracked robot, when the multi-item processing robot for modern agriculture is used, the defects that an existing intelligent agricultural power machine is dispersed in function and only works on the surface layer can be overcome in a targeted mode, picking, mowing, root removing and preprocessing are integrated, the tracked robot serves as the moving basis, the picking mechanical arm can synchronously carry out crop picking, and the working efficiency is improved. The mowing mechanism at the bottom end of the fixing frame cuts off stems and leaves of weeds on the earth surface in advance, and sequential operation loss is avoided; the rotating assembly drives a limiting rack and a limiting gear to be linked through a limiting electric telescopic rod, and a rotating rod and a rotating frame are driven to adjust the soil penetrating depth of an inclined shovel plate to adapt to different scenes; the grass root shearing assembly drives a long rack by means of a reciprocating electric telescopic rod, and a double-gear rod and a single-gear rod are linked to enable a shear knife to cut off roots.

The ridge breaking structure of the sugarcane ridge breaking machine comprises a fixing plate, a supporting rod, connecting rods, an adjusting assembly, a supporting column, a protection plate and a protection cover, the supporting rod used for supporting is fixedly connected to the middle of the upper side of the rear end of the fixing plate, and the connecting rods are hinged to the upper portions of the two sides of the rear end of the fixing plate. The adjusting assembly is fixedly connected to the upper end of the supporting rod, the supporting columns are installed at the rear ends of the two connecting rods and the supporting rod, the protection plates used for protecting internal devices are fixedly connected to the two sides of the rear end of the fixing plate, and the protection cover is fixedly connected to the upper ends of the fixing plate and the protection plates. The sugarcane ridge breaking device has the advantages that the distance between the ridge breaking ploughs is adjusted by installing the adjusting assembly, the flexibility and adaptability of the device are improved, the sugarcane ridge breaking device can better meet the planting requirements of different kinds of sugarcanes, and then sustainable development of agriculture is promoted.

A agricultural vision system including an aerial and a land vehicle equipped with imaging and geolocation units to generate lateral and overhead maps of crops. These maps fused into a multidimensional model for object tracking, yield estimation, and growth analysis. AI-driven algorithms provide actionable insights and enable automation, including pruning, harvesting, and augmented reality visualization for precision agriculture.

The invention relates to the technical field of agriculture, in particular to a soil conditioner for degrading soil fertilizer and pesticide residues and a preparation method thereof, and aims to solve the problems that although an existing soil conditioner can reduce the fertilizer and pesticide residues to a certain extent, secondary pollution is often caused, the cost is high, and the effect of degrading the soil fertilizer and pesticide residues is limited. According to the soil conditioner, humic acid, plant ash, corn straw, kieselguhr, polyglutamic acid and potassium fulvic acid are reasonably compounded, the physical and chemical properties of soil can be improved, the fertility of the soil can be improved, and after the complex microbial inoculants, the loaded pore-increasing charcoal and the coated sodium persulfate are added into the soil conditioner, under the synergistic effect of the three, the soil conditioner can improve the soil fertility. The efficient and long-acting degradation of fertilizer and pesticide residues in the soil is realized, the soil quality, the soil structure and the fertility can be improved, the healthy growth of crops can be promoted, the yield and the quality of the crops can be improved, the sustainable development of agriculture is guaranteed, and finally the comprehensive improvement of the soil is realized.

The invention relates to the technical field of multi-source sensors, in particular to a multi-source sensor data fusion method for agriculture, which comprises the following steps of: firstly, partitioning large-area agricultural planting, acquiring different data by using various sensors, then dividing and classifying the acquired data, and performing variance calculation on the data of each set; and eliminating invalid data by using a GRBs judgment criterion, and carrying out secondary fusion on the data set after elimination processing through a BP neural network to obtain prediction data. Hierarchical data fusion is carried out on the agricultural collected data according to the geographic position and time, and different data processing methods are adopted for different layers, so that the information redundancy and time consumption are reduced, the precision and accuracy of the collected data are improved, and multi-sensor data based on the real-time position is provided for agricultural intellectualization.

The invention relates to the technical field of agricultural planting, in particular to an intelligent planting decision-making method and system based on multi-source farmland data fusion, and the system comprises a data aggregation module which carries out the collection of farmland data through a data collection device, carries out the centralized aggregation of the farmland data, and transmits the collected farmland data to a central platform. Soil, weather, crop growth and operation multi-source data are integrated through the data aggregation module, different data sources are fused through the data extraction module, a data foundation is laid for follow-up feature extraction, a planting decision scheme generated by the planting decision scheme is output through the strategy output module, and meanwhile language instruction form output easy to understand is generated. Farmers can easily obtain operation guidance in a text or voice mode, the farmers are helped to optimize planting management, the resource utilization rate is increased, and agricultural development is promoted.

The embodiment of the invention provides a dynamic space-time weighted agricultural value prediction method, and belongs to the field of agricultural big data and artificial intelligence, and the method comprises the steps: obtaining the data information of crops in a target farm; performing gating mechanism capture on the historical yield, the meteorological factors and the crop phenological period data through a three-layer bidirectional LSTM network to obtain growth period time sequence characteristics of crops in the target farm; performing semantic analysis on the market information to obtain crop price influence characteristics; constructing a double-layer LSTM-Attention network architecture according to the time sequence characteristics of the growth period and the crop price influence characteristics; determining a GIS three-level value grid architecture according to geographic factors, logistics influences, transportation conditions and supply-demand relationships; and constructing an agricultural value prediction model according to the double-layer LSTM-Attention network architecture and the GIS three-level value grid architecture. According to the method, cost reduction and efficiency improvement of agriculture are realized through the agricultural value prediction model, and an agricultural planting scheme is optimized.

The invention discloses a method for transplanting and rapidly planting wild barley in moderate and severe saline-alkali soil, and belongs to the technical field of ecological restoration technologies. The method comprises the following steps: preparing a seedbed and a seedling substrate; sowing the seeds; seedbed management; performing treatment before transplanting; transplanting is conducted; and performing final-period management. According to the method, wild barley seedlings are transplanted in saline-alkali soil for the first time to improve soil and increase income; the wild barley does not have rhizomes, but has very high saline-alkaline tolerance, so that rapid planting can be realized. According to the invention, the seedling raising effect is improved by adopting the combination of all components of the specific soil matrix based on nutrient balance. According to the method, the substrate plate is transplanted to the field along with the seedlings, and on one hand, the combination of the substrate plate seedling culture in the saline-alkali soil and the special nutrient soil is beneficial to increasing the organic matter content of the soil, improving the soil structure, improving the soil fertility and promoting the sustainable development of agriculture; on the other hand, a theoretical basis is provided for saline-alkali soil strong seedling cultivation and factory seedling raising technologies.

The invention provides an environment sensing method, device and system for automatic driving of an agricultural machine and a storage medium, relates to the technical field of environment sensing, is applied to the agricultural machine, and comprises the following steps: obtaining image information, laser radar information and millimeter wave radar information based on a preset visual system of the agricultural machine, the image information comprises a depth image, an RGB image, a semantic segmentation image and an instance segmentation image; fusing the image information, the laser radar information and the millimeter wave radar information to obtain fusion data in a preset format; and inputting the fused data into a trained farmland environment perception model to obtain a farmland environment perception result. According to the invention, through integration of various sensor information, effective data fusion and utilization of the trained model, real-time sensing of the farmland environment is provided, and the technology is helpful for improving the intelligent level of agricultural operation, enhancing safety and efficiency and supporting development of modern agriculture.

The invention discloses a soil remediation and microbiological detection system for agriculture, and relates to the technical field of soil remediation, the system comprises the following components: a straw treatment and microbiological proliferation module, which is used for crushing straws obtained after crops are harvested to 5-10cm and mixing the crushed straws into a position with the depth of 10-20cm on the surface layer of soil; calculating and adding a proper amount of low-temperature cellulose degrading bacteria according to soil and straw conditions, and supplementing nutrient substances to proliferate in the soil; by accurately controlling straw in-situ field returning and microorganism adding, the soil fertility is effectively improved, the soil structure is improved, the content of organic matter and inorganic salt in the soil is increased by means of close combination of low-temperature cellulose degrading bacteria and straw, and by regulating nitrogenous fertilizer operation and applying a decomposition agent in a matched mode, the soil quality is improved. According to the method, the number of soil microorganisms and the population structure are optimized, the soil remediation effect and efficiency are remarkably improved, the problems that soil fertility is reduced and the structure is damaged are solved, and sustainable development of the agricultural ecological environment is further promoted.

The invention discloses a preparation method of a bio-based pH and temperature response type Pickering emulsion and characteristic research of the bio-based pH and temperature response type Pickering emulsion. The amphiphilic polymer is successfully prepared in an atom and free radical combination mode, and the pH and temperature dual response effect is achieved, so that the problem of low utilization rate of a traditional pesticide is solved, and the research further pays attention to greenness and safety of the preparation method. The adopted preparation method is simple, adverse effects on the environment are reduced, and related safety specifications and compliance requirements are followed in the preparation process. Therefore, the preparation method of the nano pesticide is more sustainable, and the development of green agriculture is promoted.

This invention discloses an automated agricultural irrigation method and system based on the Internet of Things (IoT), relating to the field of agricultural irrigation technology. The method includes: real-time monitoring of the agricultural irrigation environment and acquisition of environmental and crop data; processing and analyzing the environmental and crop data to generate an irrigation strategy; generating control commands based on the irrigation strategy and controlling irrigation equipment to perform agricultural irrigation; acquiring and analyzing historical irrigation data to generate an adaptive strategy; and adaptively adjusting the irrigation strategy to optimize it. This invention improves agricultural irrigation efficiency and yield while reducing resource waste by acquiring and analyzing environmental and crop data to generate irrigation strategies; it also ensures data reliability and stability through network transmission using a combination of ZigBee and LoRaWAN technologies; and it guarantees the power supply for irrigation by employing an energy conversion system to convert natural resources into electrical energy.

The invention is suitable for the field of carbon dioxide gas fertilizer machines, and provides a methanol fuel carbon dioxide gas fertilizer machine suitable for facility agriculture, the methanol fuel carbon dioxide gas fertilizer machine comprises a shell, the shell is internally connected with an exhaust fan, a flue gas outlet pipe, a heat insulation sleeve, a combustion device assembly, a flame stabilizing pipe, an alcohol pipe, a gas converter and a controller, the front face of the combustion device assembly is connected with a photoelectric sensor, one side of the shell is connected with a start / stop switch and a gas output adjusting knob, and the back face of the combustion device assembly is connected with a methanol fuel electromagnetic pump. According to the device, carbon dioxide is generated through methanol combustion, sufficient gas fertilizer is provided for facility agriculture, the problem that carbon dioxide supply in facilities is insufficient is effectively solved, photosynthesis of crops is promoted, the yield and quality of the crops are further improved, fuel can be fully combusted through the unique combustion chamber structural design, and the energy utilization efficiency is improved; the energy consumption is reduced.

This invention relates to a method for dense planting of grain and medicinal herbs in intercropping, specifically within the field of intercropping of crops and medicinal herbs. The development of modern agriculture through corn / Astragalus intercropping requires reducing water and fertilizer inputs while maintaining high yields. However, it faces challenges such as unscientific management and a lack of technical support for increasing yield and reducing emissions. The method described herein is implemented according to the following steps: Step 1: Pre-planting tillage; Step 2: Drip irrigation tape installation and sowing; Step 3: Irrigation and fertilization in the first year; Step 4: First corn harvest: Harvest the corn at its optimal harvest time in the planting year, and then shred the corn stalks to cover the Astragalus in the furrows; Step 5: Planting corn in the second year; Step 6: Irrigation and fertilization in the second year; Step 7: Harvesting the corn on the ridges and the Astragalus in the furrows in the second year, and shredding and returning the corn stalks to the field after the second harvest; Step 8: Tilling the furrows.

The invention belongs to the technical field of organic fertilizer processing, and discloses a method for preparing three independent organic liquid fertilizers of nitrogen, phosphorus and potassium by using a liquid organic fertilizer. Targeted chelation and gradient membrane separation technologies are adopted, independent separation of three nutrients of nitrogen, phosphorus and potassium is achieved, the product can be precisely applied, the nutrient utilization rate is increased, the problem that traditional liquid organic fertilizers are mixed in nutrient is solved, and nitrogen, phosphorus and potassium organic liquid fertilizers are respectively and precisely provided according to the requirements of crops. The method meets the requirements of green agriculture, the recovery rate of the chelating agent is larger than or equal to 90%, the desorption agent is environmentally friendly and free of secondary pollution, meanwhile, the product retains organic active ingredients, and fertilizer efficiency and soil improvement are both considered.

There is provided a method for production of an impregnated biochar composition for use in agriculture, wherein the method comprises the following steps: a) providing biomass; b) treating the biomass at a temperature of ≥ 300 °C to form biochar; c) impregnating the formed biochar with pyroligneous acid so that an impregnated biochar composition is formed, wherein the composition comprises: - 10-60 wt% pyroligneous acid based on the dry content of the composition; and - 40-90 wt% biochar based on the dry content of the composition.

The application provides a quick-dissolving mixed fertilizer for improving soil and a preparation method thereof, and relates to the technical field of fertilizers.The quick-dissolving mixed fertilizer for improving soil comprises the following raw materials in parts by weight: urea 20-25 parts, diammonium phosphate 10-16 parts, potassium sulfate 12-14 parts, magnesium sulfate 3-4 parts, potassium humate 5-6 parts, lignin 4-5 parts, zinc oxide 0.1-0.3 parts, manganese sulfate 0.5-0.6 parts, ammonium molybdate 0.5-1 part, coating material 6-10 parts and water 10-12 parts.The quick-dissolving mixed fertilizer for improving soil has the advantages of balanced nutrition, good quick-dissolving property, high nutrient utilization rate and remarkable soil improvement effect.The popularization and application of the mixed fertilizer will help to improve the fertility level of farmland and promote the sustainable development of agriculture.

The invention relates to the technical field of agricultural production, and provides an Internet of Things platform for real-time acquisition and analysis of agricultural production data, which comprises a sensor module, a data transmission module, a cloud server, a data analysis module, a terminal application module, an early warning module, a remote control module, a block chain module and a model optimization module. The Internet of Things platform and the Internet of Things method bring revolutionary changes to agricultural production. The system not only improves the efficiency and quality of agricultural production, reduces the cost and risk, but also promotes the modernization and intelligentization development of agriculture. Through deep integration of scientific and technological means and agricultural production, new vitality and competitiveness are injected into the agricultural field, sustainable development of agriculture is achieved, grain safety and balance of the ecological environment are guaranteed, and positive contributions are made to social stability and development. Meanwhile, beneficial reference is provided for development of other related fields, and the method has wide application prospects and social value.

A method and system for dynamic value determination and performance based royalty calculation of non-fungible tokens (NFTs) created for agricultural assets is disclosed. The method enables reliable and authentic ownership tracking and the removal of frauds / biases affecting the valuation of the said asset(s), as all the transactions are recorded and visible to everybody on the platform. Various biases, such as location (or spatial), temporal or human judgment-based biases in the existing valuation systems are removed by having dynamic and performance-based valuation approach proposed in this invention. NFT valuations of farm diary and farm art have hardly been proposed in earlier works. Royalty or reward computations from agricultural NFTs has not been attempted. Thus, the method provides performance or creation-based (creation of IP, Knowledge base, Geographical Indication IP) royalties / rewards for the NFT owner or entities involved in the process.