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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM41628
Volume:
9 |
2 |
Feb 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
In modern agriculture, protecting crops and livestock from intrusions and ensuring their safety is crucial for maintaining farm productivity and reducing losses. This project introduces a smart farmland management system utilizing IoT technologies to detect and prevent animal intrusions. The system employs a Raspberry Pi coupled with a camera to monitor the farmland continuously. When the camera detects the presence of animals, it triggers a buzzer to deter the intruders, creating an immediate response to protect the crops. This real-time intervention helps minimize potential damage and keeps the animals away from the farm. Smart Farmland is an innovative IoT-based system designed to prevent crop damage and detect animal intrusions in agricultural fields.The system is equipped with a GSM module that sends instant notifications to the farmer’s mobile device whenever an intrusion is detected. This feature ensures that the farmer is promptly informed of any threats, allowing for timely intervention and management. By integrating these technologies, the system not only enhances farm security but also streamlines communication between the farm and its caretaker, ultimately leading to improved farm management and reduced crop and livestock loss.The goal of Smart Farmland is to create a cutting-edge, IoT-based system for agricultural fields that utilizes real time monitoring and automated alerts to prevent crop damage and detect animal intrusions, enabling farmers to take swift action and protect their crops. By leveraging innovative technologies, Smart Farmland aims to enhance crop yields, reduce losses, and increase agricultural productivity, ultimately contributing to a more sustainable and efficient farming practice.
KEYWORDS
Publication Date
2/17/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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