• Gurdeep Singh Luthra
• Anuj Sharma
• Nishant Dhiman
• Divya K

From the reviewed studies, it is evident that smart farmland technology has the potential to enhance crop protection by accurately detecting animal intrusion and notifying the farmer in real-time. In this way, farmers can take immediate actions to prevent further damage to crops and avoid financial losses. With the use of machine learning algorithms such as CNN, the accuracy and reliability of these detection systems can be significantly improved, reducing the incidence of false positives and false negatives.

CNN, Arduino, Smart Farmland, IOT

"A SMART FARMLAND FOR CROP PREVENTION AND ANIMAL INTRUSION DETECTION AND PREVENTION USING CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.j317-j321, May-2023, Available :http://www.jetir.org/papers/JETIR2305991.pdf

"A SMART FARMLAND FOR CROP PREVENTION AND ANIMAL INTRUSION DETECTION AND PREVENTION USING CNN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppj317-j321, May-2023, Available at : http://www.jetir.org/papers/JETIR2305991.pdf