ANIMAL INTRUSION DETECTION MODEL BASED ON TEMPORAL CONVOLUTION NETWORK FOR SMART FARMING

Deep learning

Human-wildlife conflicts, spurred by habitat encroachment and deforestation, result in substantial crop raiding, endangering farmers and human safety. Traditional mitigation methods, costly and environmentally damaging, lack effectiveness. Our solution, the Integrated Wildlife Management System, merges Computer Vision with Temporal Convolutional Networks for precise species detection and ultrasound emission for species-specific repelling. Triggered by an edge computing device, a camera activates an Animal Intrusion Detection Model to identify invading species, initiating the emission of species-specific ultrasound by the Animal Repelling Module upon detection. This system offers a robust solution for safeguarding crops from diverse wild animals like elephants, wild boar, and deer. Through technological innovation, we aim to balance crop protection and environmental preservation, contributing to discussions on human-wildlife conflict resolution..

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