Mohamed Rawidean: AI-Driven Cyber-Physical Systems Smart Agriculture: Careers in Tech

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Careers in Tech

Toward Autonomous Farming: AI-Driven Cyber-Physical Systems for Smart Agriculture

Mohamed Rawidean Mohd Kassim
Chair, Geographic Activities Committee
IEEE Computer Society
Abstract

AI in agriculture involves the use of advanced technologies such as machine learning, Internet
of Things (IoT), robotics, computer vision and data analytics to enhance various farming
practices including remote farm management. These technologies enable farmers to collect
and analyze data, automate processes, make strategic decisions and improve the entire
agroecosystems. AI in agriculture effectively improve the quality, optimize the use of resources,
increase income and finally realizing the agricultural modernization and global food security.
Latest findings reveal that AI-enabled models and applications improved yield prediction by
20%, UAVs reduced water use by up to 96%, IoT-based smart irrigation systems enhanced crop
productivity by 25% and disease diagnosis with over 90% accuracy.

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Topic: Mohamed Rawidean Mohd Kassim Careers in Technology
Time: Mar 17, 2026 08:00 PM Eastern Time (US and Canada)
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Toward Autonomous Farming: AI-Driven Cyber-Physical Systems for Smart Agriculture