Abstract

The protection of crops from pests is relevant for any cultivated crop. But modern methods of pest control by pesticides carry many dangers for humans. Therefore, research into the development of safe and effective pest control methods is promising. This manuscript presents a new method of pest control. We used neural networks for pest detection and developed a powerful laser device (5 W) for their neutralization. In the manuscript methods of processing images with pests to extract the most useful feature are described in detail. Using the following pets as an example: aphids, grasshopper, cabbage caterpillar, we analyzed various neural network models and selected the optimal models and characteristics for each insect. In the paper the principle of operation of the developed laser device is described in detail. We created the program to search a pest in the video stream calculation of their coordinates and transmission data with coordinates to the device with the laser.

Highlights

  • Regardless of the type of pest, all cultivars on all continents suffer from harmful insects

  • After the image preprocessing process, we considered different types of convolutional neural networks (CNN) for the task of tracking pests

  • The results obtained in the research allow us to conclude that it is advisable to use the powerful laser device for combating pests

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Summary

Introduction

Regardless of the type of pest (creeping, flying, jumping), all cultivars on all continents suffer from harmful insects. The author considered only one method for detecting the absolute difference estimate - and the results on determining the position-Z were not presented This will not allow us to calculate the real position of the object in practice. Wei et al [20] and Barberà et al [21] researched aphid and described the effect of this pest on the yield for various crops Sharma et al [22] and Bradshaw et al [23] considered grasshopper and its effect on the crop All authors of these papers concluded that the damage from pests for crops will only increase since pests are becoming more resistant to modern methods of controlling. The first part is the pest recognition in the video stream - “Pest detection” and the second part is its neutralization recognition pest by the developed laser installation - “Pest neutralization by laser device”

Processing pest images for feature extraction
Neural networks models for pest detection
Test neural networks models for pest detection
Development Of A Laser Device For Pest Control
Step motor VerticalKit-600mm – for horizontal moving
Experimental Research Of The laser Device For Pest Control
Discussion And Conclusions
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