AgriSense: Smart Farming Assistant

The increasing demand for efficient and sustainable agricultural practices has led to the adoption of innovative technologies like the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). These technologies are reshaping traditional farming methods by providing real-time data on key environmental and soil conditions. This paper explores the integration of IoT and WSN frameworks into agriculture, focusing on their applications in areas such as soil moisture monitoring, pest control, and irrigation optimization. Communication protocols like ZigBee, Wi-Fi, SigFox, and LoRaWAN are discussed alongside emerging technologies like RFID and printed sensors. While these systems offer significant benefits, they also face challenges related to energy efficiency, data accuracy, and scalability. This research highlights these challenges and proposes solutions, using AgriSense as a case study to demonstrate the practical application of IoT in enhancing productivity, reducing resource consumption, and promoting sustainable agriculture.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-12-04
DOI
https://doi.org/10.5281/zenodo.14275355
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

AgriSense: Smart Farming Assistant

Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

AgriSense: Smart Farming Assistant

article en

Abstract

The increasing demand for efficient and sustainable agricultural practices has led to the adoption of innovative technologies like the Internet of Things (IoT) and Wireless Sensor Networks (WSNs). These technologies are reshaping traditional farming methods by providing real-time data on key environmental and soil conditions. This paper explores the integration of IoT and WSN frameworks into agriculture, focusing on their applications in areas such as soil moisture monitoring, pest control, and irrigation optimization. Communication protocols like ZigBee, Wi-Fi, SigFox, and LoRaWAN are discussed alongside emerging technologies like RFID and printed sensors. While these systems offer significant benefits, they also face challenges related to energy efficiency, data accuracy, and scalability. This research highlights these challenges and proposes solutions, using AgriSense as a case study to demonstrate the practical application of IoT in enhancing productivity, reducing resource consumption, and promoting sustainable agriculture.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
Openalex Percentile: Top 43%
Smart Agriculture and AI
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