Detecting method for greenhouse crop growth information and environment information based on multi-sensor information

Abstract

The invention belongs to the technical field of greenhouse crop growth information and environment information detection, and particularly discloses a detecting method for greenhouse crop growth information and environment information based on multi-sensor information. The detecting method includes the following steps: utilizing a spectrometer, a multispectral imager and a thermal imager to obtain the spectrums, the multispectral image and the canopy temperature information of the greenhouse crop; utilizing temperature, humidity, irradiance, CO2 density, EC and pH value sensors to obtain the temperature-light-moisture fertilizer environment information of the greenhouse; optimizing the spectrum, the image and the canopy temperature characteristics of the nutrition and moisture of the crop, so as to obtain the characteristic space of NPK nutrition and moisture; extracting the morphological characters of the spectrum and the image of the crop, so as to obtain the leaf area index, the stem diameter, the plant body and the fruit growth rate of the crop; and continuously monitoring and recording and formatting the obtained greenhouse environment information of the nutrition, the water, the growth vigor and the temperature-light-moisture fertilizer of the crop, so as to serve as the comprehensive detecting information of the growth and the environment of the greenhouse crop. The information obtained by means of the method can be used for the liquid manure management and environmental control and regulation according to the actual requirement of the greenhouse crop growth.

Description

technical field [0001] The invention belongs to the technical field of detection of greenhouse crop growth information and environmental information, and relates to a method for detecting greenhouse crop growth and environmental information based on multi-sensing information, specifically referring to multiple non-destructive detection technologies such as spectrum, visual image, and infrared temperature detection. Combining the temperature, humidity, light, and CO of the greenhouse environment 2 Concentration and Nutrient Solution EC (Conductivity), pH value detection, obtain comprehensive information on crop growth and environment such as nitrogen, phosphorus, potassium, water and leaf area index, stem diameter, plant and fruit growth rate, temperature, light, water, gas and fertilizer of facility crops. Using the comprehensive information obtained by this method, scientific water and fertilizer management and greenhouse environment regulation can be realized according to t...

AI Technical Summary

Problems solved by technology

[0006] To sum up, at present, my country's greenhouse horticulture information detection is still unable to conduct comprehensive and accurate detection and analysis of the growth and environmental information of facility crops, and cannot perceive and reflect the real control requirements of crop growth, resulting in insufficient exploitation of crop yield potential. The problem of high energy consumption

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