Intelligent agricultural insecticidal system based on image recognition

Abstract

The invention discloses an intelligent agricultural insecticidal system based on image recognition. The intelligent agricultural insecticidal system comprises an unmanned aerial vehicle terminal, a cloud terminal server and a client; the unmanned aerial vehicle terminal comprises a first image acquisition unit for acquiring crop images of crops and sending the crop images to a cloud end, a positioning unit for acquiring position data of the unmanned aerial vehicle terminal and sending the position data to the cloud end, a pesticide spraying unit, a flight control unit and an instruction receiving unit for receiving a decision instruction sent by the client to control the pesticide spraying unit and the flight control unit; the cloud terminal server comprises a cloud navigation unit for generating an initial flight control instruction and sending the initial flight control instruction to the unmanned aerial vehicle terminal to control the flight state of the unmanned aerial vehicle terminal, an auxiliary decision making unit for generating a cloud instruction suggestion according to the crop images and sending the cloud instruction suggestion to the client remotely connected with the cloud terminal server, a cloud storage unit and a cloud alarm unit. The intelligent agricultural insecticidal system provided by the technical scheme of the invention has the beneficial effects that through image acquisition by the unmanned aerial vehicle terminal and real-time analysis and processing by the cloud terminal server, the spraying operation of the unmanned aerial vehicle terminal can be rapidly adjusted by the client, and the problem that the timeliness and pertinence of pesticide spraying by an existing unmanned aerial vehicle are low is solved.

Description

technical field [0001] This application generally relates to the technical field of artificial intelligence, and specifically relates to an image recognition-based intelligent agricultural insecticide system. Background technique [0002] my country is a traditional large agricultural country. Agriculture is not only the foundation of national economic construction and development, but also an important guarantee for social stability and orderly operation. However, the losses caused by crop diseases and insect pests are huge every year. On the one hand, the traditional large-scale spraying of pesticides wastes resources and causes environmental damage; on the other hand, when the existing drones spray pesticides, the drones are manually controlled outside the farmland, and it is difficult to detect them in time without going deep into the field. The situation of pests and diseases and targeted drug spraying reduces the timeliness and pertinence of drone spraying pesticides. ...

AI Technical Summary

Problems solved by technology

On the one hand, the traditional large-scale spraying of pesticides wastes resources and causes environmental damage; on the other hand, when the existing drones spray pesticides, the drones are manually controlled outside the farmland, and it is difficult to detect them in time without going deep into the field. Pests and diseases and targeted drug spraying, reducing the timeliness and pertinence of drone spraying pesticides

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