Detect caterpillar, grasshopper, aphid and simulation program for neutralizing them by laser

TL;DR

This paper introduces a novel pest control method combining neural network-based pest detection with a laser device to neutralize pests like aphids, grasshoppers, and caterpillars, aiming for a safer alternative to chemical pesticides.

Contribution

The study develops an integrated system using neural networks for pest detection and a laser device for pest neutralization, with detailed methods and implementation.

Findings

Effective pest detection with neural networks for multiple insect species

Successful development of a 5 W laser device for pest neutralization

Real-time pest detection and targeting system demonstrated

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.