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Ram Mehar, Vishal Goel, Kiran Khokhar et. al, Integrating Real-Time Soil Sensor Data with Precision Agriculture: A Comprehensive Approach to Sustainable Farming. Ind J Plant Soil. 2026; 13(1): 71-81.
Timeline
Received : September 16, 2025
Accepted : October 22, 2025
Published : June 30, 2026
Abstract
Precision agriculture, which relies on real-time data, is crucial for making farming more efficient and sustainable. This paper delves into an exciting area: how we can use real-time soil sensor data to make farming practices even better. We take a close look at the latest soil sensor technologies and how they can be integrated into precision agriculture systems.Soil sensors have come a long way, offering farmers detailed, up-to-the-minute information about their soil. In this manuscript we explore these technologies like electromagnetic induction, capacitance, and optical sensors, and discuss how they can be applied in precision agriculture.What makes this paper stand out is that we dive deep into how using soil sensors alongside precision agriculture can benefit farming sustainability. We discuss how these sensors help in maintaining soil health, managing water efficiently, optimizing nutrient use, and overall, using resources wisely. Moreover, we evaluate how this integration can lead to more sustainable farming practices. We look at its impact on soil health, water conservation, nutrient management, and taking care of the environment. By bringing together recent research and practical examples, this review provides valuable insights for researchers, policymakers, and farmers alike. It emphasizes the importance of using data to make better decisions in agriculture, ultimately improving productivity while caring for the environment. In summary, this review sheds light on the exciting possibilities of integrating real-time soil sensor data with precision agriculture, offering practical guidance for creating a more sustainable future in farming.
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Data Sharing Statement
There are no additional data available. All raw data and code are available upon request.
Funding
This research received no funding.
Author Contributions
All authors contributed significantly to the work and approve its publication.
Ethics Declaration
This article does not involve any human or animal subjects, and therefore does not require ethics approval.
Acknowledgements
We would like to express our gratitude to the patients, their families, and all those who have contributed to this study.
Conflicts of Interest
No conflicts of interest in this work.
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Cite this article
Ram Mehar, Vishal Goel, Kiran Khokhar et. al, Integrating Real-Time Soil Sensor Data with Precision Agriculture: A Comprehensive Approach to Sustainable Farming. Ind J Plant Soil. 2026; 13(1): 71-81.
This license enables
reusers to distribute, remix, adapt, and build upon the material in any medium
or format for noncommercial purposes only, and only so long as attribution is
given to the creator.
This license enables
reusers to distribute, remix, adapt, and build upon the material in any medium
or format for noncommercial purposes only, and only so long as attribution is
given to the creator.
Description: The framework consists of two stages: (a) data collection, pre-processing, and model training; and (b) testing models with new field data and implementing control hardware based on predictions (Source: Elashmawy and Ismail, 2023).