Amal Sojan

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Total Citations

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About

Amal Sojan is a researcher at the forefront of agricultural robotics and automation, addressing critical challenges posed by global population growth, urbanization, and labor shortages in rural areas. Their work focuses on designing intelligent, modular robotic systems tailored for agricultural applications, with a particular emphasis on developing adaptable, cost-effective solutions for developing countries. Sojan’s most-cited paper, "A preliminary study on design of a modular agricultural mobile robot" (2022, 3 citations), lays the groundwork for scalable robotic platforms that can be customized for diverse farming tasks, from planting to harvesting. This preliminary study is notable for its forward-looking approach to modularity, enabling easier maintenance and upgrades—key factors for adoption in resource-constrained settings. While early in their career, Sojan’s contributions are already shaping the conversation around accessible agricultural automation, bridging the gap between advanced robotics and real-world farming needs. Their work holds promise for increasing food security and reducing rural-to-urban migration by making farming more efficient and attractive to younger generations.