A Review on Pest Detection Device in Agriculture

Authors- Nikitha K S, Assistant Professor Sharmeela R

Abstract-The primary cause of the economic loss in agriculture is insects and pests. Pest attacks are one of the world’s significant issues. The main challenge farmers confront during insect attacks is that the infection cannot be diagnosed early on when done manually. As a result, illness spreads quickly, causing farmers to suffer significant losses. This massive loss will remain uncontrollable until pests are attacked physically. Agriculturists apply pesticides to manage weeds, pests, and plant illnesses. Overuse of pesticides poses dangers not only to the ecosystem but also to human health and the country’s economic stability. This approach tries to detect pest attacks at an early stage. In the current research, we present a pest control system that Utilizing IoT and image processing technologies to manage pests while reducing pesticide usage. This review presents an automated approach for identifying insect attacks and informing farmers about the illness. When a camera image does not match a healthy leaf, real-time values are matched to a database to identify the afflicted leaf and notify the farmer via CNN algorithm. The suggested system detects the presence of insects and pest using image captures by the camera. Taking pictures of pests and verifying their existence in the field are done using image processing. Once an insect’s presence has been confirmed by image processing and soil nutrient content, pesticides will be sprayed based on the pest’s level to keep it out of the agricultural field. The suggested method helps farmers increase agricultural management and productivity without harming the environment.

DOI: /10.61463/ijset.vol.13.issue1.121