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About

Ganesh Babu Loganathan is an emerging researcher whose work sits at the dynamic intersection of artificial intelligence, robotics, and agricultural technology. His scholarship reflects a broad yet coherent focus on applying intelligent systems and automation to solve real-world industrial and agricultural challenges, positioning him as a contributor to the ongoing Fourth Industrial Revolution. Loganathan's most influential work explores the transformative role of AI and computer vision in food production and agri-based supply chains, garnering 14 citations and highlighting his interest in leveraging big data for smarter agricultural ecosystems. Complementing this, his research on path planning optimization for agricultural spraying robots — employing a novel Hybrid Dragonfly–Cuckoo Search Algorithm — demonstrates his commitment to precision farming innovation, earning 9 citations among robotics and agricultural engineering communities. His contributions extend into industrial robotics, including studies on articulated robotic arms for material handling and topology optimization using finite element methods, reflecting a strong mechanical and computational engineering foundation. Notably, his work on crowd control robotics addresses urgent societal challenges prompted by the COVID-19 pandemic. With a publication portfolio concentrated in 2021 and steadily accumulating citations across diverse domains, Loganathan represents a versatile early-career researcher making meaningful strides in intelligent automation and smart agriculture.