International Journal of Innovative Research in Computer and Communication Engineering
ISSN Approved Journal | Impact factor: 8.771 | ESTD: 2013 | Follows UGC CARE Journal Norms and Guidelines
| Monthly, Peer-Reviewed, Refereed, Scholarly, Multidisciplinary and Open Access Journal | High Impact Factor 8.771 (Calculated by Google Scholar and Semantic Scholar | AI-Powered Research Tool | Indexing in all Major Database & Metadata, Citation Generator | Digital Object Identifier (DOI) |
| TITLE | Krishi Suraksha - Fog based Animal Instruction Alert and Field Monitoring System |
|---|---|
| ABSTRACT | The rapid increase in road accidents and crop damage due to wild animal intrusion has become a major concern in rural and forest-adjacent areas. To address this issue, this paper proposes a Fog-Based Animal Intrusion and Alert System using LoRa and GSM. The system employs PIR and ultrasonic sensors to detect animal movement and utilizes LoRa communication for long-range, low-power data transmission to a Raspberry Pi–based fog node. The fog node processes the received signals locally and instantly triggers a GSM-based SMS alert to nearby vehicles, farmers, or control centers. This distributed fog architecture significantly reduces latency, ensures continuous operation even without internet connectivity, and enhances overall system reliability. Experimental evaluation demonstrates that the proposed system provides a cost-effective, energy-efficient, and scalable solution for smart highway and agricultural safety applications. |
| TITLE | |
| AUTHOR | SAHIL ICHAKE, MAYUR ICHAKE, HARSH WALA, PROF. DHANANJAY POUL, PROF. NEHA DUMNE |
| PUBLICATION DATE | 2025-11-05 |
| VOLUME | 175 |
| DOI | 10.15680/IJIRCCE.2025.1310034 |
| pdf/34_Krishi Suraksha - Fog based Animal Instruction Alert and Field Monitoring System.pdf | |
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