In India, agriculture is a vital sector, contributing significantly to the country’s economy. Crop damage caused by insects, animals, and birds can result in substantial economic losses. According to the National Crime Records Bureau (NCRB), crop damage due to pests and animals accounted for losses amounting to 2,095 crore (approximately 285 million) in 2019[1]. Protecting crops from insects, birds and animals is crucial for preserving agricultural income, ensuring the financial stability of farmers, and sustaining the agricultural sector’s contribution to the national economy. To reduce the harm from all living creatures, either manual supervision is required for protecting fields from animals and birds or strong pesticides must be used for protection from insects. Both are traditional approaches and hassle to the farmers. This necessitates the development of an AI, ML and IoT based smart system that can sense animals/birds remotely, scare them away without harming them and provide information to the farmer. To bridge this gap, a unified solution targeting multiple threats in agriculture is proposed; the method uses advanced AI/ML techniques to identify and protect crops from wildlife. It utilises advanced technology, including YOLO (You Only Look Once) algorithms, and is built on the Raspberry Pi 5 platform for affordability and accessibility. The system consists of a camera connected to the Raspberry Pi, which continuously scans the crop field for birds/animals. When a bird is detected, the system triggers a connected speaker to emit deterrent sounds designed to scare the birds away. This real-time detection and response mechanism helps farmers prevent crop damage and minimise losses caused by avian pests. By combining smart algorithms with affordable hardware, our invention offers an effective and practical solution for agricultural multi-threat control.