• Virender Kumar

Crop damage caused by animals is a significant threat to crop production reduction. Encroachment of farmland into previously uninhabited areas has intensified the contentious issue of crop raiding. Indian farmers face considerable risks from pests, natural disasters, and animal-related losses, leading to decreased productivity. Traditional methods employed by farmers to mitigate these challenges have proven ineffective, while hiring guards to protect crops from animals is impractical. Balancing the safety of both animals and humans is crucial, necessitating the protection of crops without causing harm and diverting the animals. To address these concerns and achieve our objectives, we utilize deep learning, a branch of computer vision, specifically employing the concept of deep neural networks to recognize animals visiting our farm. This project involves installing a camera that continuously records the farm, allowing us to identify when animals enter the premises using the deep learning model. To deter them an Secure Digital (SD) card is utilized and speaker to play appropriate sounds.

AI, Crop raiding, SD Card, Camera.

"Artificial Intelligence in Crop Protection: Current Advances", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.i761-i767, June-2024, Available :http://www.jetir.org/papers/JETIR2406885.pdf

"Artificial Intelligence in Crop Protection: Current Advances", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. ppi761-i767, June-2024, Available at : http://www.jetir.org/papers/JETIR2406885.pdf