A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics
Using smart data analytics and IoT-driven sensor networks to enhance precision agriculture, the paper provides a whole framework for real-time Crop Monitoring and yield optimization. Using IoT-Driven Sensor Networks (CM-IoT-SN), Crop Monitoring aims to provide farmers practical data for maximizing y...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | SHS Web of Conferences |
| Online Access: | https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01044.pdf |
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| author | Shnain Ammar H. Mohammed G. Kumar Yalla Jeevan Nagendra |
| author_facet | Shnain Ammar H. Mohammed G. Kumar Yalla Jeevan Nagendra |
| author_sort | Shnain Ammar H. |
| collection | DOAJ |
| description | Using smart data analytics and IoT-driven sensor networks to enhance precision agriculture, the paper provides a whole framework for real-time Crop Monitoring and yield optimization. Using IoT-Driven Sensor Networks (CM-IoT-SN), Crop Monitoring aims to provide farmers practical data for maximizing yields and improving crop condition. Many times, existing precision agricultural technologies suffer from flaws such as poor data granularity, delayed feedback, and the difficulty to provide real-time monitoring across large agricultural fields. These weaknesses lower crop productivity and lead to less than perfect decision-making. To solve these challenges, CM-IoT-SN combines a network of IoT-enabled sensors continuously monitoring key environmental factors such as soil moisture, temperature, and nutrient levels. Advanced algorithms then utilize the realtime data acquired to provide farmers expected insights and quick advise.CM-IoT-SNs adoption across many test locations has proved its effectiveness in producing superior decision-making in crop management by means of exact, real-time monitoring and predictive analytics. Results reveal that this approach not only increases crop productivity however additionally reduces resource waste, therefore providing a sustainable substitute for modern agriculture. |
| format | Article |
| id | doaj-art-e72e6ac101f042eaa84d958dc410d574 |
| institution | Kabale University |
| issn | 2261-2424 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | SHS Web of Conferences |
| spelling | doaj-art-e72e6ac101f042eaa84d958dc410d5742025-08-20T03:24:47ZengEDP SciencesSHS Web of Conferences2261-24242025-01-012160104410.1051/shsconf/202521601044shsconf_iciaites2025_01044A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data AnalyticsShnain Ammar H.0Mohammed G.1Kumar Yalla Jeevan Nagendra2Department of computers Techniques engineering, College of technical engineering, The Islamic University of Najaf, Iraq The Islamic University of Al Diwaniyah, Al Diwaniyah, Iraq The Islamic University of BabylonAhl Al Bayt UniversityDepartment of Information Technology, Gokaraju Rangaraju Institute of Engineering and Technology, JNTUHUsing smart data analytics and IoT-driven sensor networks to enhance precision agriculture, the paper provides a whole framework for real-time Crop Monitoring and yield optimization. Using IoT-Driven Sensor Networks (CM-IoT-SN), Crop Monitoring aims to provide farmers practical data for maximizing yields and improving crop condition. Many times, existing precision agricultural technologies suffer from flaws such as poor data granularity, delayed feedback, and the difficulty to provide real-time monitoring across large agricultural fields. These weaknesses lower crop productivity and lead to less than perfect decision-making. To solve these challenges, CM-IoT-SN combines a network of IoT-enabled sensors continuously monitoring key environmental factors such as soil moisture, temperature, and nutrient levels. Advanced algorithms then utilize the realtime data acquired to provide farmers expected insights and quick advise.CM-IoT-SNs adoption across many test locations has proved its effectiveness in producing superior decision-making in crop management by means of exact, real-time monitoring and predictive analytics. Results reveal that this approach not only increases crop productivity however additionally reduces resource waste, therefore providing a sustainable substitute for modern agriculture.https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01044.pdf |
| spellingShingle | Shnain Ammar H. Mohammed G. Kumar Yalla Jeevan Nagendra A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics SHS Web of Conferences |
| title | A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics |
| title_full | A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics |
| title_fullStr | A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics |
| title_full_unstemmed | A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics |
| title_short | A Framework for Real-Time Crop Monitoring and Yield Optimisation: Improving Precision Agriculture with IoT-Driven Sensor Networks and Data Analytics |
| title_sort | framework for real time crop monitoring and yield optimisation improving precision agriculture with iot driven sensor networks and data analytics |
| url | https://www.shs-conferences.org/articles/shsconf/pdf/2025/07/shsconf_iciaites2025_01044.pdf |
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