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Disease and pest control system and method based on plant protection unmanned aerial vehicle

A technology for plant protection drones, pests and diseases, applied in the field of plant protection drone-based pest control systems, can solve problems such as time-consuming and laborious, and achieve the effect of accurate and convenient identification and processing

Active Publication Date: 2021-04-13
SHENZHEN TECH UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

There are many kinds of crops, and the ratio of pesticides for different crops is also very different. Manually calculating the ratio of pesticides is time-consuming and laborious

Method used

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  • Disease and pest control system and method based on plant protection unmanned aerial vehicle
  • Disease and pest control system and method based on plant protection unmanned aerial vehicle
  • Disease and pest control system and method based on plant protection unmanned aerial vehicle

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Effect test

Embodiment 1

[0036] see figure 1 as well as figure 2 , the present invention provides a plant protection drone-based pest control system, the plant protection drone and the ground control station, the plant protection drone and the ground control station are connected by wireless transmission, the The plant protection drone includes a drone body, a multi-sensor information collection box and a pesticide spraying device; the ground control station is equipped with a multi-sensor information fusion system, a deep learning-based pest identification system and a deep learning-based pesticide ratio system.

[0037]Specifically, the multi-sensing information collection box uses a microcomputer as a carrier, preferably a Raspberry Pi (RaspberryPi), and there are 1 / 2 / 4 USB interfaces and a 10 / 100 Ethernet interface (type A) around the Raspberry Pi. No network port), can be connected with keyboard, mouse and network cable, also has TV output interface of video analog signal and HDMI high-definit...

Embodiment 2

[0052] The present invention also provides a method for controlling diseases and insect pests using the above-mentioned pest control system, the method for controlling diseases and insect pests includes:

[0053] Information collection, the plant protection drone collects the temperature and humidity of the crops, the growth environment gas information and the surface conditions of the crops;

[0054] Information transmission, the collected crop information is transmitted to the ground control station through the digital image transmission module, and the staff monitors the information status of the crops;

[0055] Information fusion, performing information fusion on the collected crop information, eliminating useless and wrong information, retaining correct and useful components, and realizing information optimization;

[0056] Information processing, according to the optimized information after fusion, judge the type of diseases and insect pests and calculate the proportioni...

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Abstract

The invention provides a disease and pest control system and method based on a plant protection unmanned aerial vehicle. Based on the machine vision and deep learning technology, various sensors are carried, a domain knowledge base of different crop growth conditions and pest and disease damage protection knowledge is established for different crops, and the growth conditions and pest and disease damage conditions of the crops are recognized through the deep learning technology and the various sensors, so that related information of the crop growth conditions and pest and disease damage can be obtained in real time, the workload of manual observation and detection is greatly reduced, and the agricultural production efficiency is improved. Aiming at the problem of pesticide proportioning, a pesticide spraying proportioning domain knowledge base is constructed according to related knowledge of crop pesticide dosage proportioning, and different pesticide spraying proportioning calculations are carried out on different crops by applying the deep learning technology, so that the step of manual proportioning calculation is omitted, and the working efficiency of agricultural plant protection is greatly improved.

Description

technical field [0001] The invention belongs to the technical field of intelligent agriculture, and relates to a plant protection drone-based pest control system and method. Background technique [0002] China is a country with a large agricultural production and a large population. Among them, the total population is about 1.4 billion, ranking first in the world's population. It is still in a period of steady population growth. Whether the production of grain products can be guaranteed is of great significance to national food security and the quality of life of residents. According to data, as of 2018, the total grain sown area in China is about 1.756 billion mu, of which the rice area is 302 million mu, the wheat area is 243 million mu, and the corn area is 421 million mu. [0003] While my country's crop production is increasing, it is also accompanied by the impact of diseases, insect pests, weeds and rodents, resulting in a large area of ​​crop production reduction, a...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): A01M7/00B64C39/02G06K9/00G06N3/04G06N3/08G06N7/00
CPCA01M7/0089B64C39/024G06N3/08G06V20/00G06N7/01G06N3/045B64U2101/00
Inventor 程涛翟刘洋蔡永为温浩凯
Owner SHENZHEN TECH UNIV
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