Advances and Challenges in Remote Sensing-Based Crop Monitoring: Integrating Data for Enhanced Agricultural Decision-Making.

Authors: Dr. Rashmi Jain

Country: India

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Abstract: This research paper delves into the evolving landscape of remote sensing-based crop monitoring, emphasizing technological advancements and persistent challenges influencing its effectiveness in agricultural management. The study integrates insights from recent case studies in various industries to demonstrate how data-driven approaches can transform crop monitoring systems. It highlights the critical role of satellite-driven data and addresses the limitations of current methodologies in detecting crop conditions, stress factors, and predicting crop yield. The paper also explores opportunities for incorporating new technologies, such as hyperspectral imaging, synthetic aperture radar (SAR), and machine learning, into crop monitoring systems.

Keywords: Crop monitoring, Remote sensing, Crop condition, Crop stress, Yield prediction, Satellite data, Hyperspectral imaging, Synthetic aperture radar, Machine learning, Food security, Climate resilience, Precision agriculture, Data-driven decision-making.

Paper Id: 231566

Published On: 2024-05-08

Published In: Volume 12, Issue 3, May-June 2024

Cite This: Advances and Challenges in Remote Sensing-Based Crop Monitoring: Integrating Data for Enhanced Agricultural Decision-Making. - Dr. Rashmi Jain - IJIRMPS Volume 12, Issue 3, May-June 2024.

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