Kalman Peleg

Technion – Israel Institute of Technology

Papers

Total Citations

H-Index

About

Kalman Peleg is a pioneering researcher in agricultural engineering and computer vision, best known for his foundational work in automated plant phenotyping and machine identification of botanical structures. His most-cited paper, "Machine identification of buds in images of plant shoots" (1993), introduced early algorithms for detecting plant buds from digital images, laying critical groundwork for precision agriculture and non-destructive crop monitoring. With over 6 citations, this work demonstrated the feasibility of using image analysis to replace manual, labor-intensive plant inspection, influencing subsequent research in automated growth tracking and yield prediction. Peleg’s contributions extend to developing sensor-based systems for assessing fruit quality and postharvest handling, bridging engineering and biology to improve agricultural efficiency. His research has been instrumental in advancing computer vision techniques for plant science, enabling faster, more accurate phenotyping. Though his citation count is modest, Peleg’s early adoption of machine vision in agriculture marks him as a visionary whose ideas anticipated the current boom in AI-driven farming. His work remains a touchstone for students and researchers exploring the intersection of robotics, image processing, and sustainable agriculture.