13 results about "Agricultural ecosystems" patented technology

The invention discloses a corn planting suitability comprehensive evaluation method which comprises the following steps: step 1, data collection and index system construction: a system collects multi-source information of meteorological data, crop growth data and historical disaster data, and a comprehensive corn planting suitability evaluation index system is constructed, the method comprises the following steps of 1, selecting a corn growth period, 2, dividing the growth period: determining four key stages of the corn growth period in combination with related data and local production practice experience, 3, constructing a comprehensive evaluation model, 4, evaluating the planting potential and carrying out weighting processing, 5, carrying out comprehensive evaluation and zoning, and 6, carrying out comprehensive evaluation and zoning. According to the method, the blank of the existing research in comprehensive evaluation of the corn planting suitability is filled, a new thought and method are provided for coping with agricultural risks caused by climate changes, a scientific regionalization reference is provided for agricultural decision makers by constructing a perfect corn planting suitability evaluation system, and the corn planting suitability evaluation method has a wide application prospect. The guarantee of global grain safety and the sustainable development of an agricultural ecosystem are facilitated.

In an approach for improving operational efficiencies in IoT agricultural ecosystems, a processor receives a request from a user for a production plan to modify one or more values of a set of values of an area of interest. A processor maps the area of interest using a set of data originating from a LIDAR instrument to create a digital elevation model of the area of interest. A processor creates a knowledge set to train a decision engine. A processor calculates one or more modifications to be made to the one or more values of the set of values of the area of interest. A processor generates a map of applicable land options that the user may interact with to select the one or more modifications to be made to the one or more values of the set of values. A processor plots a finalized rendering of the production plan.

The present application relates to the field of farmland nutrient analysis, and particularly relates to a carbon-nitrogen labeled coupled analysis farmland ecosystem nutrient migration quantification method, which comprises the following steps: obtaining carbon-nitrogen concentration time series by collecting and preprocessing carbon-nitrogen isotope monitoring data; obtaining trajectory evolution optimization factors by performing two-dimensional collaborative trajectory evolution analysis on the carbon-nitrogen concentration time series; obtaining jump distortion optimization factors by performing real migration flux jump distortion feature analysis on the carbon-nitrogen concentration time series; obtaining nutrient migration mode division results by jointly modifying the trajectory evolution optimization factors and the jump distortion optimization factors on the basis of time series distance; and obtaining carbon-nitrogen nutrient migration evaluation results by performing quantification analysis on the nutrient migration mode division results, so as to solve the problem of migration mode division distortion caused by the forced alignment of secondary fluctuation misalignment and the confusion of deep background noise artifacts in the carbon-nitrogen isotope time series clustering of the farmland ecosystem by the existing multi-dimensional dynamic time warping algorithm.

The invention provides a crop functional chlorophyll fluorescence inversion method, system and device and a readable medium, and relates to the technical field of ecological environment monitoring, and the method comprises the steps: obtaining a multi-source data cube; acquiring a crop type distribution diagram based on the multi-source data cube; constructing a sun-induced chlorophyll fluorescence SIF inversion basic model according to the crop type distribution diagram; and outputting a crop solar-induced chlorophyll fluorescence time sequence product according to the solar-induced chlorophyll fluorescence SIF inversion basic model. According to the crop functional chlorophyll fluorescence inversion method provided by the invention, the multi-source data cube is used as input, and two special processing links which are completely independent in physical mechanism and dynamic correction are constructed; high-precision and high-physical-reliability SIF time sequence product production for crops can be realized, and a reliable data basis is provided for precise monitoring of photosynthesis of an agricultural ecosystem.

This invention belongs to the field of insect experimental devices, specifically disclosing an experimental device for the interaction between antiviral agents and natural enemy insects. It includes a release box for releasing natural enemy insects and an experimental box detachably installed around the release box. The release box and the experimental box each have a first elongated hole and a second elongated hole. An adjusting plate that can close the first elongated hole is slidably connected inside the release box. The adjusting plate has a channel that connects to the first elongated hole. The channel can move along the length of the elongated hole with the adjusting plate to adjust the passage height of the natural enemy insects. A drawer is provided at the bottom of the experimental box for holding sponges that absorb different amounts of moisture to provide a humid environment inside the experimental box. A spray nozzle is provided at the top of the experimental box for spraying the agent inside. This invention is used to simulate different environments to observe the autonomous selection behavior of natural enemy insects under different conditions and explore their complex interactions with agricultural ecosystems.

The invention belongs to the technical field of irrigation regulation and control, and discloses a multi-source data fusion irrigation regulation and control system and method for smart agriculture. Comprising the following steps: collecting historical irrigation records and crop yield data of each farmland plot, and constructing a benefit response model library of each farmland plot; underground water level monitoring data and soil salinity accumulation data are collected in real time, and an ecological health degree attenuation curve of each farmland plot is generated; obtaining water resource management data and ecological red line constraint parameters, determining an irrigation amount feasible region of each farmland plot, and determining a sensitive plot in combination with an ecological health degree attenuation curve; according to the irrigation amount feasible region and the ecological health degree attenuation curve of each sensitive land parcel, an optimal benefit-ecological balance point is intelligently identified, and an eco-friendly irrigation regulation and control scheme is generated; according to the invention, intelligent irrigation water volume scheduling is realized on the premise of considering agricultural production benefits and regional ecological sustainability, and progressive degradation of an agricultural ecological system is effectively avoided.

The invention belongs to the technical field of agricultural ecosystem simulation and agricultural management optimization, and discloses a climate intelligent agricultural cross-scale collaborative optimization method under a climate warming background, which realizes deep fusion of crop growth, carbon nitrogen water circulation and greenhouse gas emission processes through segmented physical process coupling modeling; a knowledge guidance agent model is constructed, physical mechanism constraints and advantages of an intelligent algorithm are fused, high-resolution rapid simulation of a 30m field block scale is realized, and accurate management requirements are met; on the basis of a multi-objective optimization function and a genetic algorithm, precise field scale management and regional scale ecological constraints are planned as a whole, a cross-scale feedback relation is defined, and collaborative improvement of yield, emission reduction and resource utilization efficiency is achieved. According to the method, future climate and management scene changes are integrated through a scene-driven dynamic iteration mechanism, a staged optimal management path is formed, the timeliness and adaptability of an optimization strategy are improved, and scientific support is provided for climate intelligent agriculture development in different periods.

The present application relates to the field of farmland nutrient analysis, and particularly relates to a carbon-nitrogen labeled coupled analysis farmland ecosystem nutrient migration quantification method, which comprises the following steps: obtaining carbon-nitrogen concentration time series by collecting and preprocessing carbon-nitrogen isotope monitoring data; obtaining trajectory evolution optimization factors by performing two-dimensional collaborative trajectory evolution analysis on the carbon-nitrogen concentration time series; obtaining jump distortion optimization factors by performing real migration flux jump distortion feature analysis on the carbon-nitrogen concentration time series; obtaining nutrient migration mode division results by jointly modifying the trajectory evolution optimization factors and the jump distortion optimization factors on the basis of time series distance; and obtaining carbon-nitrogen nutrient migration evaluation results by performing quantification analysis on the nutrient migration mode division results, so as to solve the problem of migration mode division distortion caused by the forced alignment of secondary fluctuation misalignment and the confusion of deep background noise artifacts in the carbon-nitrogen isotope time series clustering of the farmland ecosystem by the existing multi-dimensional dynamic time warping algorithm.

The invention relates to an agricultural pest biological control technology, and aims to provide a rhodococcus strain and application thereof to degradation of insecticides and enhancement of parasitic wasp resistance. The strain is preserved in the China Center for Type Culture Collection, the preservation name is Fanqing Sheng Rhodococcus IT-1, the classification name of Latin is Rhodococcus qingshengii, and the preservation number is CCTCC NO: M 20252461. The 16S rRNA gene sequence of the strain is as shown in SEQ ID NO: 1. The strain is unique in source and broad in function spectrum; biological control can be enhanced, and the effect is remarkable; the strain is supplemented back into the parasitic wasp body in a feeding mode, the endurance capacity of the parasitic wasp to imidacloprid and thiamethoxam can be remarkably improved, and the strain has great significance in maintaining and enhancing the biological control function of an agricultural ecosystem and reducing dependence of chemical pesticides.

The utility model relates to the technical field of energy circulation, and discloses an agricultural ecosystem energy circulation device which comprises a shell, a feeding pipe is fixedly connected to the top of the left side of the shell in a sleeved mode, a closing plate is hinged to the right side of the feeding pipe, and a fixing block is fixedly connected to the right side of the closing plate. By arranging a rectangular block, a limiting rod, a connecting block, a vertical rod and a spring, when excrement is added into the inner cavity of the shell through the feeding pipe, a sealing plate overcomes the elastic force effect of the spring at the moment, the sealing plate drives a fixing block to rotate, and the rectangular block moves upwards under the limiting effect of the limiting rod; and thus, the connecting block extrudes and pushes the vertical rod while moving upwards, the vertical rod vertically moves upwards under the limiting action of the limiting sleeve, the effect of sealing the feeding pipe in the idle state is achieved, and biogas and odor are prevented from leaking out through the feeding pipe.

The invention discloses a milk vetch ecological value dynamic evaluation method and system based on a multi-dimensional stripping algorithm, relates to the technical field of agricultural ecosystem evaluation, and effectively weakens background interference of different crop rotation conditions on ecological evaluation results by constructing a crop rotation background reference sequence and distinguishing continuous and discontinuous crop rotation states. The comparability and stability of ecological value evaluation are improved; astragalus sinicus turning and pressing operation is used as a disturbance stripping anchor point, and an alignment time window is constructed before and after turning and pressing, so that fine decoupling of an artificial farming operation disturbance effect and a long-term ecological change trend is realized, and the accuracy of turning and pressing ecological effect identification is enhanced; by performing parallel dimension stripping and unified time alignment on a gas absorption behavior and a gas emission behavior, positive and negative ecological effects are synthesized under the same time scale to form a gas regulation net effect sequence, so that ecological value bias caused by single-index analysis is avoided.

The application provides a synthesis method of nano-isoflavones and application of the nano-isoflavones in soybean root rot, and the method comprises the following steps: step 1, preparing A liquid, B liquid and C liquid, three solutions for reaction. The A liquid is a 0.3% chitosan (w / v) solution, the B liquid is a 0.6% genistein (w / v) solution, and the C liquid is a 0.3% sodium tripolyphosphate (w / v) solution. Step 2, mixing the three solutions A, B and C in step 1 according to a volume ratio of 4:1:2, and preparing under the condition of 45 DEG C and magnetic stirring and ultrasonic. The application not only helps to reduce the use of chemical pesticides and reduce environmental pollution, but also optimizes the soil structure and improves the sustainability of the agricultural ecosystem, and provides theoretical support and feasible path for the development of environment-friendly nano materials and the green prevention and control of soybean root rot.

The invention relates to a biological enhancement method for reducing farmland greenhouse gas emission and increasing saline alkali soil carbon sequestration amount. Aiming at the problems of high cost, easy double salt, unbalanced carbon and nitrogen and the like of the traditional saline-alkali soil improvement technology, the invention provides a method for preparing the microbial fertilizer by taking kitchen waste as a culture medium raw material, culturing plant growth-promoting bacteria at low cost, preparing a microbial inoculant and combining with a composting process. The microbial fertilizer is applied to saline-alkali soil instead of chemical fertilizer, so that the physicochemical property of the soil is improved, the NO emission of the soil is effectively reduced, and the carbon sequestration amount of an agricultural ecosystem is increased by promoting nitrogen absorption and organic carbon accumulation of crops. The method integrates waste resource utilization and soil carbon and nitrogen coordinated regulation and control, has multiple beneficial functions of rapid improvement of saline-alkali soil, crop yield increase, greenhouse gas emission reduction, soil carbon fixation amount increase and the like, and provides technical support for green agriculture development and target realization.