IoT-Integrated Farm Security System with Real-Time Alerts and Intrusion Detection

Agricultural farms face significant threats from unauthorized access and wildlife intrusions, leading to substantial crop damage and financial losses for farmers. To address this issue, we propose the Smart Agriculture Farm Protection System, an automated security solution utilizing a microcontroller, multiple sensors, repellent devices, and an alert system with a GSM module. The system is designed to detect movement, trigger alarms, and send real-time alerts to the farm owner, ensuring prompt action against potential threats. Upon detecting an intrusion, the sensors activate visual and auditory deterrents to scare away intruders. Simultaneously, the GSM module sends a call or SMS alert to the farmer’s mobile device, enabling rapid response. A secured gate mechanism further enhances protection by preventing unauthorized entry. By integrating these components, the system provides 24/7 monitoring, automated deterrence, and remote alert mechanisms with minimal human intervention. This project aims to mitigate such losses by offering an affordable, efficient, and scalable farm protection system. Future enhancements may include solar power integration, AI-based object recognition, and IoT-enabled monitoring, further improving farm security and sustainability. Keywords: Smart Agriculture, Farm Security, Sensor-based Protection, Wireless Monitoring, GSM Alert System, Arduino, Automated, Farm surveillance

Authors

Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-02-15
DOI
https://doi.org/10.55041/ijsrem41569
Primary Topic
IoT-based Smart Home Systems
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

IoT-Integrated Farm Security System with Real-Time Alerts and Intrusion Detection

r M Chandrasheka
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
IoT-based Smart Home Systems
article

IoT-Integrated Farm Security System with Real-Time Alerts and Intrusion Detection

r M Chandrasheka
article en

Abstract

Agricultural farms face significant threats from unauthorized access and wildlife intrusions, leading to substantial crop damage and financial losses for farmers. To address this issue, we propose the Smart Agriculture Farm Protection System, an automated security solution utilizing a microcontroller, multiple sensors, repellent devices, and an alert system with a GSM module. The system is designed to detect movement, trigger alarms, and send real-time alerts to the farm owner, ensuring prompt action against potential threats. Upon detecting an intrusion, the sensors activate visual and auditory deterrents to scare away intruders. Simultaneously, the GSM module sends a call or SMS alert to the farmer’s mobile device, enabling rapid response. A secured gate mechanism further enhances protection by preventing unauthorized entry. By integrating these components, the system provides 24/7 monitoring, automated deterrence, and remote alert mechanisms with minimal human intervention. This project aims to mitigate such losses by offering an affordable, efficient, and scalable farm protection system. Future enhancements may include solar power integration, AI-based object recognition, and IoT-enabled monitoring, further improving farm security and sustainability. Keywords: Smart Agriculture, Farm Security, Sensor-based Protection, Wireless Monitoring, GSM Alert System, Arduino, Automated, Farm surveillance

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(02)
Openalex Percentile: Top 98%
IoT-based Smart Home Systems
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.