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Towards Sustainable Agriculture: Leveraging Advanced Technologies for Precision Crop Management and Optimization

  • 2026
  • OriginalPaper
  • Chapter
Published in:
Authors
N. Haripriya
N. Venkatesh
S. Aravind Chary
P. Vineesha
K. Revathi
Published in
Proceedings of the 7th International Conference on Communications and Cyber Physical Engineering
Publisher
Springer Nature Singapore

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Abstract

This chapter delves into the transformative potential of smart agriculture, focusing on the integration of IoT, AI, and data analytics to enhance crop management and sustainability. It begins with an overview of the critical role of agriculture in India, highlighting its economic and employment significance. The literature survey explores various smart agriculture systems, emphasizing the use of IoT for monitoring and management, sensor technologies for soil health, and machine learning algorithms for crop recommendations. The methodology section outlines the implementation of a smart soil system, including sensor deployment, data collection, and integration with IoT platforms. The user interface section describes a web-based platform that utilizes logistic regression to predict soil parameters and recommend suitable crops. The benefits of smart soil systems are discussed, including optimized resource use, increased crop yields, water conservation, reduced environmental impact, and improved soil health. The conclusion underscores the importance of continuous maintenance and updates to ensure the accuracy and relevance of the predictive model, highlighting the potential of data-driven agriculture in enhancing resource efficiency and fostering sustainable practices.
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Title
Towards Sustainable Agriculture: Leveraging Advanced Technologies for Precision Crop Management and Optimization
Authors
N. Haripriya
N. Venkatesh
S. Aravind Chary
P. Vineesha
K. Revathi
Copyright Year
2026
Publisher
Springer Nature Singapore
Book
Proceedings of the 7th International Conference on Communications and Cyber Physical Engineering

Print ISBN: 978-981-9502-68-4

Electronic ISBN: 978-981-9502-69-1

Copyright Year: 2026

DOI
https://doi.org/10.1007/978-981-95-0269-1_18
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