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Utilization of Advanced IoT and High-Performance Computing for Enhanced Agricultural Systems
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Author(s): A. N. Arularasan (Department of Computer Science and Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology, Chennai, India), D. Kalaiyarasi (Department of Electronics and Communication Engineering, Panimalar Engineering College, Chennai, India), P. Ashokkumar (Department of Civil Engineering, Sona College of Technology, India), K. Suresh (Department of Electrical and Electronics Engineering, Sri Sai Ram Engineering College, Chennai, India), M. Rajasekar (Department of Computer Science and Applications, Saveetha College of Liberal Arts and Sciences, Saveetha Institute of Medical and Technical Sciences, Chennai, India)and A. Rajendra Prasad (Department of Mechanical Engineering, Sri Sai Ram Engineering College, Chennai, India)
Copyright: 2025
Pages: 26
Source title:
Integrating Artificial Intelligence Into the Energy Sector
Source Author(s)/Editor(s): Abdelkader Mohamed Sghaier Derbali (Taibah University, Saudi Arabia)
DOI: 10.4018/979-8-3693-7112-1.ch022
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Abstract
This chapter emphasizes the potential transformational role of combining advanced IoT solutions with HPC for farming in the direction of productive and sustainable agriculture. With growing demands for data-driven agriculture as well as efficient farming, tens of thousands of IoT-enabled devices in the form of sensors and drones collect real-time data about the condition of the soil, crops, or weather and resource usage. High-performance computing is used to rapidly analyze and compute data for accurate decision-making and predictive analytics in crop management, pest control, and resource optimization. HPC enables farmers to use machine learning and AI models to predict yields, detect diseases early, and automate irrigation and fertilization schedules, promoting sustainable agriculture. The chapter explores the potential of IoT and HPC in precision agriculture, highlighting their potential to reduce reliance on unhealthy, abused, or exhausted croplands, aligning with global food security goals.
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