Crop cultivation is vulnerable to animal intrusion, causing substantial losses. A prototype system using a modified CNN algorithm detects animal presence in farmlands and provides alerts to prevent crop damage. The system integrates PIR sensors, thermal imaging cameras, GSM modules, and Raspberry Pi, ensuring crop protection without harm to animals. The approach demonstrates efficient and reliable animal intrusion detection, safeguarding farmers from significant losses. © 2023 Elsevier B.V., All rights reserved.