• Dr. S. Pradeep
• Mithradevi. T
• Karthick. N
• Manojkumar. K
• Kavin Prasanth. G

India is mostly an agricultural nation. Security on agricultural farms is crucial to safeguarding the harvest. Animals or people with malicious intent to rob or damage the property have the power to wreck valuable assets. Introduction of modern technologies into agriculture has made it possible to consider developing security systems for farmlands. IoT technology facilitates the development of a number of applications for smart agriculture. The possibilities are unlimited when vision is integrated with IoT. This report makes a novel suggestion for agricultural farmland surveillance. The suggested solution uses a Raspberry Pi board to look for suspicious activity or movement in the farmland and activates the Pi Cam to snap pictures of the situation. The image processing module on the Raspberry Pi board uses Mobilenets Deep Learning and Single Shot detectors to identify the item in the image. The farmer will get notifications of this communication by email and telegram. The studies are conducted on farmland, and the system's precision and consistency are measured and tabulated. The findings demonstrate that the system is 100% reliable and 92% accurate in spotting fraudulent activities

Raspberry Pi, Camera, Artificial Intelligence

"SMART FARM PROTECTION AND INTRUDER ALERTING SYSTEM USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 12, page no.d405-d410, December-2022, Available :http://www.jetir.org/papers/JETIR2212355.pdf

"SMART FARM PROTECTION AND INTRUDER ALERTING SYSTEM USING ARTIFICIAL INTELLIGENCE", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 12, page no. ppd405-d410, December-2022, Available at : http://www.jetir.org/papers/JETIR2212355.pdf