TY - GEN
T1 - Internet of Things Enabled Smart Agriculture Monitoring and Control System
AU - Bahadure, Nilesh Bhaskarrao
AU - Joshi, Rahul
AU - Parashar, Deepak
AU - Shah, Bhoomi
AU - Chandra Patni, Jagdish
AU - Patil, Prasenjeet Damodar
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/105006445859
UR - https://www.scopus.com/pages/publications/105006445859#tab=citedBy
U2 - 10.1109/ICDT63985.2025.10986450
DO - 10.1109/ICDT63985.2025.10986450
M3 - Conference contribution
AN - SCOPUS:105006445859
T3 - ICDT 2025 - 3rd International Conference on Disruptive Technologies
SP - 683
EP - 686
BT - ICDT 2025 - 3rd International Conference on Disruptive Technologies
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 3rd International Conference on Disruptive Technologies, ICDT 2025
Y2 - 7 March 2025 through 8 March 2025
ER -