Internet of Things Enabled Smart Agriculture Monitoring and Control System

The Indian economy mainly revolves around the agriculture sector, and it is one of the dominant nations in agriculture. In recent times, traditional methods of agriculture have become more inclined towards automation-based agricul-ture, where the integration of modern technologies such as the Internet of Things, Machine Learning, Artificial Intelligence, and many others are taking the lead. In our proposed system, various sensors relating to agriculture mapping are integrated with the Internet of Things, and the data collected from the sensors, processed through IoT, will be further analyzed using machine learning and suggesting a corrective mechanism based on the data collected. No human intervention is needed; the system is fully automatic, responds within a delay time of 8.1 sec, and produces an accuracy of 94.68 % in predicting the data harvest.

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Publication Details

Published
2025-03-07
DOI
https://doi.org/10.1109/icdt63985.2025.10986450
Citations
1
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.75
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article

Internet of Things Enabled Smart Agriculture Monitoring and Control System

Jagdish Chandra Patni, Prasenjeet Damodar Patil, Bhoomi Shah, Nilesh Bhaskarrao Bahadure et al.
1 citations
Smart Agriculture and AI
1.75
article

Internet of Things Enabled Smart Agriculture Monitoring and Control System

Jagdish Chandra Patni, Prasenjeet Damodar Patil, Bhoomi Shah, Nilesh Bhaskarrao Bahadure, Rahul Joshi, Deepak Parashar
article en
1 citations

Abstract

The Indian economy mainly revolves around the agriculture sector, and it is one of the dominant nations in agriculture. In recent times, traditional methods of agriculture have become more inclined towards automation-based agricul-ture, where the integration of modern technologies such as the Internet of Things, Machine Learning, Artificial Intelligence, and many others are taking the lead. In our proposed system, various sensors relating to agriculture mapping are integrated with the Internet of Things, and the data collected from the sensors, processed through IoT, will be further analyzed using machine learning and suggesting a corrective mechanism based on the data collected. No human intervention is needed; the system is fully automatic, responds within a delay time of 8.1 sec, and produces an accuracy of 94.68 % in predicting the data harvest.

Alliance University (IN), Symbiosis International University (IN), MIT Art, Design and Technology University (IN), Universidad de Diseño, Innovación y Tecnología (ES)
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.75
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Internet of Things Enabled Smart Agriculture Monitoring and Control System — Jagdish Chandra Patni, Prasenjeet Damodar Patil, et al. · (2025) | TGRS Research Map | TGRS