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

Agriculture is a critical sector in India, and securing farms against theft and damage is crucial to safeguarding the harvest. With the introduction of modern technologies, it is now possible to develop security systems for farmlands. IoT technology, in particular, offers numerous possibilities for smart agriculture. This report proposes a unique solution for agricultural farmland surveillance that leverages a Raspberry Pi board to detect suspicious activity or movement in the farmland and activate the PiCam to capture images of the situation. The image processing on the Raspberry Pi board uses Deep Learning and SSD to identify the object in the image. The farmer is notified of any suspicious activity via email and telegram. The system's precision and consistency were evaluated through studies conducted on farmland, and the results showed that the system is 100% reliable and 92% accurate in detecting fraudulent activities.

"ARTIFICIAL INTELLIGENCE BASED FARM INTRUDER ALERTING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.d278-d281, May-2023, Available :http://www.jetir.org/papers/JETIR2305339.pdf

"ARTIFICIAL INTELLIGENCE BASED FARM INTRUDER ALERTING SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppd278-d281, May-2023, Available at : http://www.jetir.org/papers/JETIR2305339.pdf