Max Robotics — Global Service Robot Directory + US Certification

About

Rajitha de Silva is a pioneering researcher at the intersection of agricultural robotics, computer vision, and artificial intelligence, with a focused mission to advance autonomous systems for precision agriculture. His work centers on enabling agri-robots to navigate and operate intelligently within real-world field conditions — a notoriously complex challenge given the unpredictable variability of arable environments. De Silva's most impactful contributions lie in deep learning-based crop row detection, with his landmark 2023 paper accumulating 56 citations and his 2024 follow-up vision-based navigation study earning 39 citations — together representing some of the most-cited recent work in agricultural robot navigation. Crucially, his approaches address a critical cost barrier in the field, offering viable alternatives to expensive RTK-GNSS hardware through camera-based deep learning solutions. Beyond navigation, de Silva has contributed extensively to smart greenhouse systems, developing AI-powered disease detection and robotic monitoring platforms, as well as precision spot-spraying robots such as SPARROW, designed to reduce chemical usage in weed control. His earlier work on cloud-based autonomous agricultural systems (2019) demonstrated forward-thinking integration of robotics with smart farming infrastructure. Collectively, his research offers practical, scalable pathways toward fully autonomous agricultural operations.