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Intelligent Machines, IoT, and AI in Revolutionizing Agriculture for Water Processing
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Author(s): Krishnagandhi Pachiappan (Department of Electrical and Electronics Engineering, Nandha Engineering College, India), K. Anitha (Department of Computing Technologies, School of Computing, SRM Institute of Science and Technology, India), R. Pitchai (Department of Computer Science and Engineering, B.V. Raju Institute of Technology, India), S. Sangeetha (Department of Computer Science Engineering, Karpagam College of Engineering, India), T. V. V. Satyanarayana (Department of Electronics and Communication Engineering, Mohan Babu University, India)and Sampath Boopathi (Mechanical Engineering, Muthayammal Engineering College, India)
Copyright: 2024
Pages: 26
Source title:
Handbook of Research on AI and ML for Intelligent Machines and Systems
Source Author(s)/Editor(s): Brij B. Gupta (Asia University, Taichung, Taiwan & Lebanese American University, Beirut, Lebanon)and Francesco Colace (University of Salerno, Italy)
DOI: 10.4018/978-1-6684-9999-3.ch015
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Abstract
Modern agriculture faces numerous challenges, ranging from rising global food demand to water scarcity. To address these issues, the incorporation of intelligent machines, the Internet of Things (IoT), and artificial intelligence (AI) in agricultural water processing has become critical. This chapter investigates these technologies' transformative potential for optimizing water usage, increasing crop yields, and ensuring sustainable agricultural practices. It delves into the key concepts and applications, emphasizing the advantages and disadvantages of this novel approach. Farmers can make data-driven decisions, automate irrigation processes, and adapt to changing environmental conditions by leveraging AI and IoT-enabled systems, ultimately contributing to a more efficient and environmentally friendly agricultural sector.
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