Plant growing trend detection and diagnosis method oriented to cotton targeted fertilizing

Abstract

The invention discloses a plant growing trend detection and diagnosis method oriented to cotton targeted fertilizing in the field of agricultural production and detection. The method includes: before flowering and fruiting of cotton, measuring GPS (global positioning system) coordinate values of four border lines of a cotton planting area, planning flying collection route, GPS coordinate values of hover photographing points and distance between flying plane and the ground of an unmanned aerial vehicle loaded with image collection equipment and ultrasonic ranging equipment, taking cotton plant pictures at each hover photographing point by the image collection equipment, and measuring distance between the tops of the cotton plants and the flying plane by the ultrasonic ranging equipment; calculating height and light transmittance of the cotton plants by a computer, respectively comparing the height and the light transmittance with threshold values, and if any diagnosis index of the height or the light transmittance of the cotton plants is abnormal, indicating that growing trend of the cotton plants in the area is abnormal. By the method, large-area cotton plant growing trend targeted diagnosis is realized, and local areas weak or strong in growing trend are recognized, so that automation level is increased, and an effective basis is provided for cotton planting management.

Description

technical field [0001] The invention relates to the field of agricultural production and detection, in particular to a method for detecting and diagnosing the growth of cotton plants, which is convenient for targeted fertilization of cotton. Background technique [0002] At present, the monitoring methods of crop growth status mainly include satellite remote sensing monitoring and artificial field observation and monitoring. For example, the remote sensing monitoring method disclosed in the document with the patent application number 201310576604.6 and titled "Remote Sensing Monitoring Method for Scab in Winter Wheat Flowering Stage" is based on two satellite remote sensing vegetation indices and daily average temperature data of winter wheat flowering stage to monitor winter wheat flowering. Monitor the occurrence of scab in the early stage. However, this method is mainly monitored by satellite remote sensing. Satellite and aerial remote sensing technology is restricted by...

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problems existing in the existing cotton plant growth detection method, and propose a plant growth detection method for cotton targeted fertilization that is suitable for large-scale monitoring of cotton plant growth by means of unmanned aerial vehicles for cotton planting area information sampling And diagnostic methods to ensure that the growth of cotton plants is uniform and avoid problems that are too lush and too weak to affect the cotton fruit

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