72 results about "Agriculture management" patented technology

A method and system for customizing agriculture management using biological signals and making decisions according to pre-programmed algorithms, including decisions related to irrigation, prediction of future yield, characterization of plant varieties, and administration of topical applications.

The invention provides an agriculture management and control system based on augmented reality and relates to the technical field of intelligent agriculture, and is to solve the problem that existing agriculture management and control technology still has the problem of not high intelligence and automation degree as well as the problem that the existing agriculture management and control technology cannot realize interaction between users and virtual information in a real scene and the like. The system comprises an intelligent mobile terminal having an augmented reality providing system, a server, an agriculture information acquisition device and an environment adjusting device. The intelligent mobile terminal having the augmented reality providing system is in communication connection with the server through a wireless network; the server is communicated with the agriculture information acquisition device, and is used for receiving current environment parameters of environment parameter sensors, current plant images collected by each camera device and vegetation growth parameters obtained by a hyperspectral imaging spectrometer; and a plurality of camera devices track scenes of monitored crops in a current monitoring region in real time, and transmit the scenes to the intelligent mobile terminal having the augmented reality providing system to carry out augmented reality display of the crops.

An integrated multi-scale modeling platform is utilized to assess agricultural productivity and sustainability. The model is used to assess the environmental impacts of agricultural management from individual fields to watershed/basin to continental scales. In addition, an integrated irrigation system is developed using data and a machine-learning model that includes weather forecast and soil moisture simulation to determine an irrigation amount for farmers. Next, crop cover classification prediction can be established for an ongoing growing system using a machine learning or statistical model to predict the planted crop type in an area. Finally, a method of predicting key phenology dates of crops for individual field parcels, farms, or parts of a field parcel, in a growing season, can be established.

A computer system for managing agricultural sales involving a salesperson and a first grower is provided. The computer system includes a database. The computer system also includes a processor. The processor is programmed to store historical sales data for the first grower in the database. The historical sales data includes a prior purchase of a first agricultural product by the grower. The processor is also programmed to identify a second agricultural product appropriate for the first grower based at least in part on the historical sales data. The processor is further programmed to create a task for the salesperson. The task is related to engaging the first grower regarding the second agricultural product. The processor is also programmed to display the task to the salesperson for engaging the first grower.

The invention relates to a method and a device for determining diffusion and reduction processes of nitrous oxide in soil. The method comprises the following steps: A. loading soil column samples; B. pre-culturing; C. determining a sample, namely introducing N2O or N2 gas which is used in a control test into two filled soil column samples by an inflating system after a pre-culturing test, and completing the gas collection after the N2O emission flux is constant; carrying out air exploitation; monitoring the N2O emission flux of the soil surface layer, and quantifying the N2O diffusion and reduction quantity; and D. determining the N2O residual quantity. The method and the device for determining the diffusion and reduction processes of the nitrous oxide in the soil has the great significance to the deep study on the diffusion process and the reduction mechanism of the accumulation of the N2O in the soil at the lower layer and the quantification of the disposition of the N2O in a soil body as well as the quantitative relationship between the N2O and the environmental factor, can provide a basis for agriculture management measures in formulating and intensifying the N2O reduction intensity and reducing the N2O emission, and provide scientific parameters for the contribution of accurately estimating N2O emission in a farmland by the soil at the lower layer.

The invention discloses a method for synthesizing super absorbent resin containing phosphorus and nitrogen by the graft copolymerization reaction of potato starch organic phosphate, which comprises the following main processes: carrying out neutralization reaction between a sodium hydroxide solution and acrylic acid from which polymerization inhibitor is removed under the cooling of ice-water bath; respectively mixing potato starch organic phosphate and acrylamide with de-ionized water to obtain a potato starch organic phosphate solution and an acrylamide solution; mixing the prepared acrylicacid and the sodium salt solution with the potato starch organic phosphate solution and the acrylamide solution; adding an evocating agent persulfate; stirring the mixture for 0.5-1.0 hour to ensure that the mixture is uniformly mixed; heating the mixture by water bath and stirring under the protection of nitrogen; stopping stirring when reaching certain temperature; keeping the temperature for 1-2 hours in boiling water bath; stopping supplying nitrogen, taking the product out, and cutting the product into small pieces; drying the small pieces in a baking oven to keep constant weight, and crashing to obtain the super absorbent resin containing phosphorus and nitrogen. Compared with the similar products, the water absorption of the super absorbent resin is greatly enhanced; the super absorbent resin contains the nutrition elements of nitrogen and phosphorus, does not need pasting in comparison with the process of directly using starch and greatly improves the preparation process. The super absorbent resin has favorable development prospect in agriculture management, such as desert greening, water conservation, soil improvement, seedling transplantation and the like.

The invention discloses a smart agriculture management system based on the Internet of Things and an expert system. The system includes an information acquisition module, an expert information module,a decision-making adjustment module and the human-computer interaction module; the information acquisition module is used for acquiring plant growth environment information and plant image information and storing the plant growth environment information and plant image information; the expert information module is used for storing preset growth environment information and preset plant image information; the decision-making adjustment module is used for comparing the acquired plant growth environment information and plant image information with the preset growth environment information and preset plant image information respectively and adjusting plant growth environment states according to comparison results; and the human-computer interaction module is used for obtaining the informationacquired by the information acquisition module and the comparison results of the decision-making adjustment module and sending the information and the comparison results to a user terminal. With the system of the invention adopted, the growth environment and growth state of crops are monitored and adjusted in real time, so that the pertinence and effectiveness of detection and adjustment can be improved, the growth effect of the crops is improved with the precision of the adjustment of the growth environment and growth state of the crops ensured, and the macro-control of the growth status of the crops can be comprehensively realized.

An intelligent agriculture management system, comprising an intelligent greenhouse system (1), a central gateway (2), a router (3), a server (4), a management platform (5) and a terminal device (6), wherein the intelligent greenhouse system (1) collects a plant growing environment parameter in real time and storing and analyzing same respectively, and transmits the processed data to the central gateway (2); the central gateway (2) transmits the received data to the management platform (5), passing the router (3) and the server (4) in sequence; the management platform (5) sends a generated control instruction to the terminal device (6); and the terminal device (6) controls the parameters of a corresponding device to enable same to be consistent with a pre-set parameter after receiving the control instruction. Also disclosed is an intelligent agriculture management method. The intelligent agriculture management system can see an agriculture field environment in real time, has a relatively high efficiency and relatively low costs, and can realize the precise management.

The invention provides an automatic monitoring and recognition method for salinized land, and belongs to the field of environmental monitoring and environmental ecological protection. The method comprises the following steps: collecting soil salt contents of a plurality of sampling points in a research area to form a sample data set; extracting a plurality of wave band values of grids corresponding to the longitude and latitude in the remote sensing image closest to the sampling month according to the longitude and latitude of each sampling point, and obtaining a wave band combination set by constructing different wave band combination forms; then constructing a machine learning soil salt content inversion model, training the model by using the sample data set, and selecting a wave band combination form suitable for inverting the soil salt content of the research area from the wave band combination set to form a sensitive factor set and an optimal inversion model; and obtaining a soil salt content inversion result in a selected month in the research area by using the optimal inversion model. The method can be practically applied to monitoring the salinization degree of the surface soil layer of the arid and semi-arid region and recognizing the salinized soil of different degrees, and provides effective reference basis for local irrigation planning, agricultural management and the like.

The invention provides a geographic information management system for a mountainous region agricultural planting park, and relates to the technical field of agricultural management. According to the agricultural planting park geographic information management system, a geographic information system (GIS) is used as a substrate to integrate equipment such as an unmanned aerial vehicle and a monitorto establish a set of mountain agricultural planting park geographic information management method, and a management big data analysis module, an irrigation equipment Internet of Things control module, an equipment maintenance module and a daily patrol module are included. By arranging the big data analysis module, the irrigation equipment Internet of Things control module, the equipment maintenance module and the daily patrol module, automation and self-energization of informatization management of the agricultural planting park are achieved, the park management efficiency and accuracy are improved, the crop planting cost and labor intensity are greatly reduced, and no dead corner exists in park management and nursing.

Agricultural management products and method, particularly plant, seed, and soil treatment products and methods of manufacturing and using the same. Compositions and methods for reducing chemical pesticide-induced plant damage and/or improving plant yield, including combinatorial compositions and methods for treating plants, seed, and soil. Plant treatment products include a plant treatment component and, preferably mixed with, a microbial fermentation product. The microbial fermentation product includes cellular material of cultured microorganisms and one or more anaerobic metabolite products of the cultured microorganisms Preferably, the microbial fermentation product comprises a whole culture lysate of a microbial fermentation suspension culture, including liquid fermentation culture medium components and lysed microorganisms. The plant treatment component of the product includes one or more pesticides or plant growth regulators. Plant treatment products can be applied to or around plants or seeds to enhance growth, health, or productivity of the plants.

Attributes associated with a farming area and production data may be received. A user's expertise level may be identified. At least one crop model may be executed to generate a plurality of scenarios specifying specific actions to perform associated with a farming topic. A production goal associated with the farming area may be received. Based on the production goal and the user expertise level, the plurality of farming scenarios may be filtered to generate at least one candidate scenario. A candidate scenario may be presented for execution. An app such as a chat bot may perform a dialog with the user in executing steps of the candidate scenario.

The invention belongs to the technical field of scientific management of agriculture production, and particularly relates to a greenhouse control system based on WIFI (wireless fidelity). The greenhouse control system comprises a central processing unit, a sensor system, a soil moisture sensor and a power source, wherein the sensor system, the soil moisture sensor and the power source are respectively connected with the central processing unit, and the sensor system comprises a humidity sensor, a temperature sensor and a carbon dioxide concentration sensor. The greenhouse control system is characterized by also comprising a site control system, a WIFI wireless network and a rainwater collection device, wherein the site control system comprises a carbon dioxide generator, a spraying device, ventilation equipment and an irrigation device, the spraying device and the irrigation equipment are respectively connected with the rainwater collection device, one end of the WIFI wireless network is connected with the central processing unit, the other end of the WIFI wireless network is connected with a mobile phone terminal, and the power source adopts a solar cell panel. The greenhouse control system has the beneficial effects that the manual cost is reduced, the yield of vegetables is improved, the water resource is saved, the scientific agriculture management is realized, and the production management is performed at any place and at any time.

The invention discloses an intelligent agriculture management system based on Internet of things and belongs to the Internet of things technology field and the intelligent agriculture technology field. The system comprises a monitoring subsystem, a control center, an alarm subsystem, an automatic control subsystem and a client. The control center is used for analyzing monitoring data sent by the monitoring subsystem and sending alarm management and control information to the alarm subsystem when an alarm condition is satisfied. The alarm subsystem is used for sending alarm information to the client according to the alarm management and control information from the control center,. The automatic control subsystem is used for remotely making agriculture equipment in a farming scene execute corresponding operation according to the equipment management and control information of the control center. The client is used for carrying out data communication with the control center and receivingthe alarm information sent by the alarm subsystem. The system faces modern intelligent agriculture management, integrates many agriculture management functions and possesses good stability, flexibility and expandability.

The invention discloses an agricultural big data service system constructed based on the Internet technology. The agricultural big data service system comprises an SAAS layer, a DAAS layer, a PAAS layer, a data processing and analyzing platform and a background management platform which are established. The SAAS layer uploads the acquired data and collects and summarizes the information, and the summarized information enters an agricultural management platform for SAAS resume information collection; the DAAS layer performs big database analysis and sharing on the information collected by the SAAS layer to form platform resources; and the PAAS layer performs geographic position distributed data storage on big database analysis sharing platform resources of the DAAS layer, then integrates the data, calculates and processes the integrated data, and reads the initialized data into a background management platform for background reading and external supervision. According to the invention,the data is subjected to unified information collection through the internet big data, and the internal and external big data is established and analyzed, so that the agriculture is pre-judged by theinternet big data service system, and the invention has great significance in mastering the internal relation and law of the agricultural information.

The invention provides a farm machinery scanning operation system and method. The system comprises a farm machinery, a server and an agricultural detection system, wherein the agricultural detection system is in communication connection with the server for detecting operation information and transmitting the operation information to the server; the server receives the operation information and generates a two-dimensional code; a camera is arranged on the farm machinery; and the farm machinery scans the two-dimensional code through the camera for identity verification, and the operation information or authorization is thus acquired for entering a farmland for operation. By adopting the above technical scheme, the operation information of the farm machinery is detected through the agricultural detection system and transmitted to the server to be stored, the two-dimensional code is generated and read by the farm machinery camera, intelligent agriculture management can be effectively realized, and the farm machinery operation efficiency is enhanced. The system provided in the invention is reasonable and convenient in structure, low in cost and applicable to the current intelligent agriculture management mode.

The present disclosure relates to different techniques of controlling an agricultural system, as for example a controlled agricultural system, an agricultural light fixture and a method for agricultural management. Furthermore, the disclosure relates to an agricultural system, which comprises a plurality of processing lines for growing plants of a given plant type, wherein a first processing line in the plurality of processing lines is configured to move a first plurality of plants through the agricultural system along a route; and apply a first growth condition to the first plurality of plants to satisfy a first active agent parameter for the first plurality of plants.

The invention discloses a comprehensive management platform for an agricultural park. The platform comprises a data display module which is used for displaying meteorological information and greenhouse data in the park; an agricultural management module which is used for configuring agricultural park and greenhouse data, crop planting and growth data, meteorological data and insect condition monitoring data; a breeding management module which is used for configuring breeding park and greenhouse data, livestock growth data and meteorological data; a personnel management module which is used for configuring posts and permissions of workers in the park and managing attendance of the workers; a production traceability management module which is used for tracing agricultural products and animal husbandry products; a cold-chain transportation management module which is used for managing cold-chain transportation of agricultural products and animal husbandry products; and an energy management module which is used for counting and analyzing the consumption of water, electricity, gas and coal in the park. Compared with a traditional agricultural management system, the management platform is more complete in function and wider in coverage, the management capability is improved, and the management platform has better popularization and application prospects.

The invention discloses an intelligent agriculture management system, which comprises a control host, an executing mechanism, a sensor group and a wireless charging device, wherein the control host isrespectively connected with the executing mechanism, the sensor group and the wireless charging device through a bus; the executing mechanism comprises a spray irrigation device, a drip irrigation device, a light supplementing lamp and a ventilation fan; the sensor group comprises a soil temperature and humidity sensor, an air temperature and humidity sensor, an illumination sensor and a carbon dioxide concentration detection []device; wireless charging receiving boards are arranged at the side surfaces of the soil temperature and humidity sensor, the air temperature and humidity sensor and the carbon dioxide concentration detection device; a hinging device is arranged at the bottom of each wireless charging receiving plate. The problem that the wireless charging sensor cannot be used bythe existing agricultural production environment is solved; the problems that the existing cabled charging sensor is difficult for laying cables, the later period maintenance and overhaul are difficult, and the installation cost is high are solved.

A system and method for identifying a probability of disease affecting a crop based on data received over a network is described herein, and may be implemented using computers for providing improvements in plant pathology, plant pest control, agriculture, or agricultural management. In an embodiment, a server computer receives environmental risk data, crop data, and crop management data relating to one or more crops on a field. Agricultural intelligence computer system 130 computes one or more crop risk factors based, at least in part, the crop data, one or more environmental risk factors based, at least in part, the environmental data, and one or more crop management risk factors based, at least in part, on the crop management data. Using a digital model of disease probability, agricultural intelligence computer system 130 computes a probability of onset of a particular disease for the one or more crops on the field based, at least in part, on the one or more crop risk factors, the one or more environmental risk factors, and the one or more crop management factors.