Method for predicting plant growth state in cotton topping period based on unmanned aerial vehicle multispectral remote sensing

Abstract

The invention discloses a method for predicting a plant growth state in a cotton topping period based on unmanned aerial vehicle multispectral remote sensing. The method comprises the following steps: S1, collecting cotton canopy multispectral information before and after topping operation by using a multispectral camera; crop indexes related to the topping time strategy determination are collected; s2, constructing a multispectral regression analysis model of cotton canopy multispectral information-crop indexes; and S3, taking the multispectral information of the specific wave band combination collected by the cotton field to be predicted as input data, and obtaining crop indexes through the multispectral regression analysis model. By means of the method, the height of cotton plants, the number of flower buds and the number of fruit branches can be intelligently and rapidly obtained, and data support is provided for determining the cotton topping time.

Description

Technical field [0001] The present invention belongs to the field of smart agriculture, especially a prediction method of cotton-based plant growth state based on drone multi-spectral remote sensing. Background technique [0002] Cotton is an important economic crop in my country. Xinjiang is an important cotton production area in China. Xinjiang cotton production has high degree of mechanization, fast and accurate monitoring cotton growth state, cotton field precision management, and thus arrangement production plan to improve cotton production efficiency in Xinjiang cotton production, improve cotton Yield is of great significance. [0003] The cotton flower bud is one of the important growth period of cotton. Cotton top homework is an important job task in cotton flower buds. The scientific topping and fertilization help promotes the rational transformation of photosynthetic products, improves cotton production and quality. The requirements of "Northwest Inland Cotton Machinery...

AI Technical Summary

Problems solved by technology

[0005] To sum up, at present, the determination of cotton topping period mainly relies on manual observation of crop growth status, which lacks interpretability and low information collection efficiency

Using drones to collect multispectral information on crop growth can quickly and efficiently obtain plant growth status, but there is currently a lack of multispectral information processing models for continuous monitoring of plant growth status

Images