Nondestructive detection device and method for facility crop growth information

Abstract

The invention discloses a nondestructive detection device and a nondestructive detection method for facility crop growth information, and belongs to the technical field of monitoring of facility crops. The device comprises a growth information sensing system, an electric control mechanical rocker arm and a control computer; the control computer drives the electric control mechanical rocker arm to be positioned at a detection position, and controls the growth information sensing system; reflection spectrums of nitrogen, phosphorus, potassium and moisture of crops, multispectral images, canopy temperature characteristic, multispectral morphological characteristics of canopies, stalks, plants and fruits, fruit quality information, and information of environmental illumination, temperature and humidity are acquired by using a multispectral imager and sensors of infrared temperature, irradiance, environmental temperature and humidity and load; nutrient and moisture characteristic spaces are acquired by optimizing and compensating the nutrient and moisture characteristics of the crops; and growth vigor information of canopy area, stalk thickness, fruit quality, plant height and the like is acquired by extracting the multispectral morphological characteristics of the crops, and comprehensive acquisition and nondestructive detection of the growth information of the crops are realized by combining nutrient, moisture and growth vigor characteristics.

Description

technical field [0001] The invention relates to a non-destructive detection device and method for facility crop growth information, belonging to the technical field of facility crop monitoring. Specifically refers to the non-destructive detection of crop growth information using the visible light-near-infrared reflectance spectrum, multi-spectral image, canopy temperature, canopy illumination, ambient temperature and humidity, and load sensors of facility crops. The organic integration of multiple non-destructive detection technologies, combined with the monitoring of the light and temperature and humidity environment of crop growth, obtains the nitrogen, phosphorus, potassium, water, canopy area, stem thickness, plant height, fruit quality and other crop growth of facility crops synchronously in an all-round way Through the information provided by the device, water and fertilizer management and facility environment regulation can be carried out according to the growth status ...

AI Technical Summary

Problems solved by technology

However, it is difficult to make a comprehensive, systematic and scientific judgment on the growth status of crops with only a single detection method of spectrum, image and canopy temperature to obtain isolated information such as nutrition or water or leaf area index, stem and fruit weight.

Moreover, there is an interaction between nutrients and between nutrients and water. The detection process is greatly affected by environmental factors such as crop canopy structure, soil background spectrum, atmospheric window, temperature and humidity. Therefore, only spectral technology or visible light visual image , or near-infrared visual images, or a single detection technology such as the temperature difference of the canopy of a plant is not enough to accurately and comprehensively reflect the growth information of crop nutrition, water and growth

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