Adaptive operation method for plant protection unmanned plane based on expert system

Abstract

The invention relates to the field of plant protection unmanned planes, and provides an adaptive operation method for a plant protection unmanned plane based on an expert system. The method comprisesthe steps: (1), collecting a crop image of an operation area through an airborne camera; (2), performing image segmentation and feature extraction of the collected image, and analyzing the crop species, the weed species, the pest species and the severity thereof; 3), comparing the data with an expert system database in an airborne control system, and obtaining the amount of liquid medicine to be sprayed in a target area; (4), enabling an airborne liquid spraying mechanism to adaptively spray the liquid medicine according to the index of the amount of sprayed medicine given by the airborne expert system database. The method is advantageous in adaptively carrying out the plant protection spraying operation according to the index of the amount of sprayed medicine given by the airborne expertsystem in real time and the crop species, the weed species, the pest species and the severity thereof in the operation area, effectively improving the pesticide spraying effect and pesticide utilization rate, avoiding the spraying leakage or repeated spraying in the operation area, needing no manual intervention in the whole process, and greatly improving the intelligentization degree of the plantprotection operation process.

Description

technical field [0001] The invention relates to the technical field of plant protection drones, in particular to an expert system-based adaptive operation method for plant protection drones. Background technique [0002] According to the "2016 China Land and Resources Bulletin", as of the end of 2016, the country's cultivated land area was 134.9566 million hectares (2.024 billion mu), and a large number of agricultural plant protection operations need to be carried out every year. However, in the next 10 years, my country's population over the age of 60 will reach 300 million, and my country will also become a super-aged country. What this data does not show is that the aging process of my country's rural population is faster than that of cities. At the same time, a large number of young and middle-aged laborers in rural areas are outflowing, which makes the overall quality of laborers who stay in rural areas engaged in agricultural plant protection work decline. In the fac...

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Problems solved by technology

[0004] The purpose of the present invention is to provide an expert system-based self-adaptive operation method for plant protection UAVs, aiming to solve the problem that the amount of medicine sprayed by plant protection UAVs does not match the actual amount of medicine required by crops

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