Sky-ground-air integrated wheat yield evaluation method

Abstract

The invention, which relates to the field of grain yield assessment, provides a sky-ground-air integrated wheat yield evaluation method. A satellite positioning system, a remote sensing unmanned aerial vehicle counting device and a mobile weight measuring device are arranged. After the mobile weight measuring device is installed in place, the satellite positioning system edits a positioning pointin advance; a navigation module receives a positioning signal sent by the satellite positioning system; the remote sensing unmanned aerial vehicle counting device flies to a set height according to the positioning point and is stabilized at the positioning point; a camera module arranged at the lower part of the unmanned aerial vehicle shoots a plurality of groups of wheat pictures in unit area; aquantity statistics module is used for processing the number U of wheat ears in the shot wheat picture and the number W of wheat grains on a single wheat ear; a worker dries a wheat sample in a plotto be in a safe numerical value range with the water content of 13%; and a weighing equipment is used for weighing thousand-grain wheat, so that the yield per unit area is accurately and quickly obtained and thus the wheat yield is further evaluated.

Description

technical field [0001] The invention relates to grain yield assessment, in particular to a method for assessing wheat yield integrated with space, ground and space. Background technique [0002] Before the wheat is harvested, the state will estimate the output of the main wheat producing areas, so that it is convenient for the state to coordinate storage and purchase matters, and individual large-scale grain processing enterprises will also evaluate the output of wheat, which is convenient for specific reference based on the output Pricing, etc. The existing wheat yield assessment mostly adopts the method of manual sampling, that is, a certain range of wheat is selected in multiple different plots, and then harvested manually, and the harvested wheat is dried in the sun and weighed, and then the unit The wheat yield of the area is estimated based on the average value of multiple groups of evaluation plots. However, this evaluation method has low accuracy and takes a long tim...

AI Technical Summary

Problems solved by technology

[0002] Before the wheat is harvested, the state will estimate the output of the main wheat producing areas, so that it is convenient for the state to coordinate storage and purchase matters, and individual large-scale grain processing enterprises will also evaluate the output of wheat, which is convenient for specific reference based on the output Pricing, etc. The existing wheat yield assessment mostly adopts the method of manual sampling, that is, a certain range of wheat is selected in multiple different plots, and then harvested manually, and the harvested wheat is dried in the sun and weighed, and then the unit The wheat yield of the area is estimated based on the average value of multiple groups of evaluation plots. However, this evaluation method has low accuracy and takes a long time to evaluate. It has reference value for the evaluation of smaller areas. However, due to the vast wheat planting area Many factors such as altitude, geographical location, and water source determine the yield of wheat. It is difficult to complete the assessment of most areas in a timely manner by relying entirely on manual assessment methods, and the accuracy of manual measurement is not high, which may cause large errors in the assessment results.