Smart Fencing System for Protecting Farming Land

Abstract: In today’s world the entire farming sectors has facing serious security challenges since long in context with in the from animal intrusion. As the development is going on, the incidents of theft and damage in farming land increases because of human jealousy. In the world of modernization, the traditional fencing system has also steps towards the smart electrical fencing system, which is based on automation. The couplement of IoT (Internet of Things), A.I (Artificial Intelligence) and ML (Machine Learning) has proven a dynamic shift in securing farm land. The SAPS (Stand Alone Power Supply) produce electric energy from RES (Renewable Energy Source). The integration of electronics devices with these technologies make this smart security an upper advantage in this segment. The devices or instruments that leverages the system are intelligent sensors, communication modules system, different types of cameras (day night mode of operation), hooters, lighting system, automatically trigger alarms. In addition to this, the system should have face recognizer system so that it can recognize invaders or restrict unauthorized entry. The smart fencing must put generate electric shock and warms the invaders. The smart farming system must send alert the farmers via mobile application or sms. This smart solution not only strengthens the safety of crops and livestock but also reduces the need for manual patrolling, thereby promoting sustainable and efficient farm management. The proposed system offers a cost-effective and scalable approach to securing rural properties using modern technology. Thus, it protect the farmer land in their absence and work as quick responder.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-12
DOI
https://doi.org/10.5281/zenodo.18978810
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Smart Fencing System for Protecting Farming Land

Amod Kumar Sahwal, Shantanu Virnave, Subhashree Das (Bhanjadeo), Kunal Soni
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Smart Fencing System for Protecting Farming Land

Amod Kumar Sahwal, Shantanu Virnave, Subhashree Das (Bhanjadeo), Kunal Soni
article en

Abstract

Abstract: In today’s world the entire farming sectors has facing serious security challenges since long in context with in the from animal intrusion. As the development is going on, the incidents of theft and damage in farming land increases because of human jealousy. In the world of modernization, the traditional fencing system has also steps towards the smart electrical fencing system, which is based on automation. The couplement of IoT (Internet of Things), A.I (Artificial Intelligence) and ML (Machine Learning) has proven a dynamic shift in securing farm land. The SAPS (Stand Alone Power Supply) produce electric energy from RES (Renewable Energy Source). The integration of electronics devices with these technologies make this smart security an upper advantage in this segment. The devices or instruments that leverages the system are intelligent sensors, communication modules system, different types of cameras (day night mode of operation), hooters, lighting system, automatically trigger alarms. In addition to this, the system should have face recognizer system so that it can recognize invaders or restrict unauthorized entry. The smart fencing must put generate electric shock and warms the invaders. The smart farming system must send alert the farmers via mobile application or sms. This smart solution not only strengthens the safety of crops and livestock but also reduces the need for manual patrolling, thereby promoting sustainable and efficient farm management. The proposed system offers a cost-effective and scalable approach to securing rural properties using modern technology. Thus, it protect the farmer land in their absence and work as quick responder.

Zenodo (CERN European Organization for Nuclear Research)
National Institute of Technology Jamshedpur (IN), Government of Nepal (NP), RKDF University (IN), Biju Patnaik University of Technology (IN)
Openalex Percentile: Top 26%
Smart Agriculture and AI
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Smart Fencing System for Protecting Farming Land — Amod Kumar Sahwal, Shantanu Virnave, et al. · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS