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4 results about "Agricultural ecosystems" patented technology

The agricultural ecosystem An ecosystem is defined as all the organisms (animals, plants, microbes) in a certain habitat, plus also the environment that they live in (such as the soil, a pond, or a mountainside).

A method for quantifying the migration of nutrients in an agricultural ecosystem by coupling carbon and nitrogen markers

PendingCN122157881AMolecular entity identificationEarth material testingAgricultural ecosystemsNutrient
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.
Owner:JILIN AGRICULTURAL UNIV

An experimental apparatus for the interaction between an antiviral agent and its natural enemy insects.

ActiveCN224440123UAgricultural ecosystemsAgricultural engineering
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.
Owner:YUNNAN TOBACCO COMPANY YUXI PREFECTURE COMPANY +1

A method for quantifying the migration of nutrients in an agricultural ecosystem by coupling carbon and nitrogen markers

ActiveCN122157881BAgricultural ecosystemsNutrient
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.
Owner:JILIN AGRICULTURAL UNIV

Synthesis of nano-isoflavones and its application in soybean root rot

PendingCN122139752ABiocideNanomedicineAgricultural ecosystemsIsoflavones
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.
Owner:SICHUAN AGRI UNIV