Method for sampling and detecting ratio of output of main product to by-product of crops at rice maturity based on unmanned aerial vehicle

Abstract

The invention discloses a method for sampling and detecting the ratio of output of main product to by-product of crops at rice maturity based on an unmanned aerial vehicle, characterized by comprising the steps: firstly, cruising and shooting a paddy field to be detected by using the unmanned aerial vehicle according to set flight region and flight line, then splicing the acquired photos to obtain the orthograph image pattern of the whole flight region; then performing grating treatment on the orthograph image pattern, dividing the orthograph image pattern into a certain quantity of regular regions, and dividing the regular regions into a plurality of levels according to the grey scale value of each region; finally taking a plurality of paddy fields of unit areas at each level as the sampling points of the level, manually measuring to acquire the ratio of output of main product to by-product of crops at each sampling point, and averaging the ratios as the ratio of output of main product to by-product of crops of the paddy fields at the level, thereby obtaining the detection value of the ratio of output of main product to by-product of crops of all regions of the paddy field to be detected. The method can avoid randomness in selecting the sampling points for the ratio of output of main product to by-product of crops, and also can effectively improve the precision and efficiency of detecting values of the ratio of output of main product to by-product of crops at the rice maturity in the region.

Description

technical field [0001] The invention relates to a method for sampling and detecting the grass-to-grain ratio at the maturity stage of rice. Background technique [0002] Rice is one of the main grains of our country, and the output of rice is related to the economic lifeline of the whole country. During the rice harvesting process, the yields of crops and straw are very important statistics, and the grass-to-grain ratio is an expression that reflects the relationship between the two sets of data: Grass-to-grain ratio = straw yield / crop yield. The yield of crops is generally easy to obtain. Through the detection of grass-to-grain ratio, the yield of straw can be obtained, so as to effectively estimate the energy utilization of straw, so as to maximize the utilization of straw accurately and effectively. [0003] Therefore, how to improve the prediction accuracy of grass-to-valley ratio is a very important task. Traditional measurement methods generally select sampling point...

AI Technical Summary

Problems solved by technology

Traditional measurement methods generally select sampling points randomly through manual experience. This method has a certain degree of randomness, and the efficiency of manual operations for some large-scale experimental areas is extremely low.

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