Detect caterpillar, grasshopper, aphid and simulation program for neutralizing them by laser
This addresses the problem of safe pest control for agriculture by replacing pesticides with a laser-based method, though it appears incremental as it combines existing neural network and laser technologies.
The paper tackles crop pest control by developing a system that uses neural networks to detect pests like aphids, grasshoppers, and cabbage caterpillars, and a 5 W laser device to neutralize them, achieving detection and neutralization through a program that processes video streams and transmits coordinates.
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.