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AI-Based Solutions for Future Trends in IoT and Remote Sensing Integration for Precision Agriculture
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Author(s): V Dankan Gowda (Department of Electronics and Communication Engineering, BMS Institute of Technology and Management, Bangalore, India), R. Saranya (Department of Information Technology, V.S.B. Engineering College, Karur, India), S.V. Ramanan (Department of Electronics and Communication Engineering, PPG Institute of Technology, Coimbatore, India), N M G Kumar (Department of Electrical and Electronics Engineering, Mohan Babu University, Tirupathi, India)and Priya SACHIN Jadhav (Symbiosis Institute of Technology, Symbiosis International University, Pune, India)
Copyright: 2026
Pages: 26
Source title:
AI-Driven Smart Industrial Technologies
Source Author(s)/Editor(s): Maki K. Habib (The American University in Cairo, Egypt)
DOI: 10.4018/979-8-3693-7994-3.ch002
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Abstract
This chapter focuses on the use of AI, IoT, and remote sensing technologies in precision agriculture. This explores how the technologies can be used in collaboration to benefit the improvement of yield in agriculture, efficiency in resource use and sustainable utilization of resources. Among them, current practices consist on crop health monitoring, yield prediction, precise irrigation and correct soil management are presented where they are currently being used and the latest applied technologies are showed in the following chapter. Also, it defines the difficulties associated with these solutions: their cost, data compatibility issues, and the necessity of qualified staff. The summarization of the potential of AI and IoT as well as the remote sensing in the farming industry is also provided as well as a focus on the future trends like edge computing and 5G connectivity. It outlines the matters that should be considered by the policy makers and the need for collaboration among various fields as a way of enhancing the uptake of these technologies.
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