Crop stress early warning system and early warning method based on temperature and images

Abstract

The invention provides a crop stress early warning system and early warning method based on temperature and images, and belongs to the technical field of crop phenotypic information acquisition and stress early warning. An infrared thermal imager and an OpenMV machine vision module in the data acquisition device are used for respectively acquiring crop surface temperature data and image data, theembedded raspberry pi module transmits the crop surface temperature data and the image data to a user-side computer for processing through an infinite transmission module, and the user-side computer reads the image data and then acquires crop color components and growth parameters, the color component and the temperature data are fused to assist in constructing an early warning model; real-time, continuous and nondestructive monitoring can be carried out on crop growth information, and reference is provided for adjustment and control of greenhouse environment parameters; pest and disease damage and crop water stress can be prevented, the overall production quality of crops is improved, the fatigue strength of people is reduced, and intellectualization and modernization of crop planting areachieved; through automatic diagnosis and early warning of the crop stress state, the precision of irrigation and fertilization decision of planters is improved.

Description

technical field [0001] The invention belongs to the technical field of crop phenotype information collection and stress early warning, in particular to a crop stress early warning system and early warning method based on temperature and images. Background technique [0002] Various environmental factors that are unfavorable to crop growth are called adversity or stress. According to the reasons for stress on crops, stress is usually divided into two types: biotic factor stress and abiotic factor stress (also known as physical and chemical factor stress). Among them, biotic stress mainly refers to the stress caused by diseases, insect pests and weeds, and abiotic stress mainly includes the stress caused by water, temperature, chemical factors, radiation, wind and snow, hail and other factors. Crops are often stressed by a variety of biotic and abiotic factors during the growth process. These stresses seriously affect the growth of crops and reduce crop yields. Therefore, how ...

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Problems solved by technology

Remote sensing monitoring is to use spectral theory to analyze and extract data from satellite images to determine the stress status of crop growth. Using this method, the equipment costs are expensive, the real-time performance is poor, the accuracy is not high, and the ground measured values ​​are required for verification, which is very inconvenient

Although the method of manual field inspection is simple and easy to achieve comprehensive observation, it is labor-intensive, time-consuming, labor-intensive and inefficient. It requires observers to have rich experience and knowledge of crop production. The observation results are highly subjective and cannot be realized in real time. monitor

When using physical and chemical means to monitor crop stress, although the accuracy is high, there are problems such as cumbersome steps, expensive equipment, difficulty in monitoring large areas of farmland, and damage to the crop itself.

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