Igve Sonu

Papers

Total Citations

H-Index

About

Igve Sonu is a researcher in agricultural robotics and precision automation, with a focus on developing intelligent systems for sustainable farming. His most cited work, "Automatic Weed Killing Robot for Agriculture Purpose and Insect Killing" (2019), provides a comprehensive review of autonomous robotic weed control, identifying plant detection and crop-weed classification as the foremost technical challenges in the field. Sonu’s analysis underscores the critical need for advancing precision weeding mechanisms, highlighting that current methods require further refinement to achieve reliable, field-deployable solutions. With 2 citations, this paper serves as a foundational reference for researchers exploring robotic intervention in agriculture. Sonu’s contributions bridge robotics, computer vision, and agronomy, offering a roadmap for developing cost-effective, environmentally friendly weed and pest management tools. His work is particularly relevant for students and engineers aiming to reduce chemical herbicide use through automation. By systematically evaluating the state of the art, Sonu has helped frame the key research questions that continue to drive innovation in autonomous agricultural systems.