Comparative Analysis of CNN Models For Insect Detection System

Insect control in farming is a critical aspect of modern agriculture. It involves a range of strategies to mitigate the damage caused by destructive insect pests to crops. IIntegrated Pest Management (IPM) is a holistic strategy that combines biological control, chemical pesticides, and cultural practices to manage insect populations effectively. Biological control methods harness natural predators and pathogens to maintain insect populations. Chemical pesticides, when used, are selected judiciously to minimize environmental impact. Crop rotation and planting resistant varieties are cultural practices that help control insects. Sustainable approaches are crucial to balance food security and environmental protection. Ongoing research and technology advancements drive innovations in insect control for more efficient and eco-friendly solutions. This article outlines the Insect Detection System concerning its development, functionality, applications, and future directions. This article aims to give an astute insight into the performance of various CNN models to help select the best possible model for implementing an insect detection system. This contributes to Sustainable Farming and aims to make a significant contribution to present-day Pest Control Methods in Farming.