Dan Rustia

Dan Rustia is a Researcher in Robotics and Automation at Wageningen University & Research, specializing in AI-driven agricultural solutions. His work bridges computer science and agricultural engineering through innovative applications of deep learning and edge computing for real-world farming challenges.

His research focuses on Agricultural Robotics and Computer Vision for plant phenotyping, with expertise in Edge Computing for mobile devices, Insect Pest Detection, and automated monitoring systems. Key projects include developing tools for dairy cow behavior analysis, rose disease scoring, and cacao pest management that operate efficiently on low-end hardware.

Recent publications reveal a consistent trend toward field-deployable AI solutions, emphasizing mobile-first design and real-time processing for agricultural applications. His work spans dairy farming, horticulture, and crop protection, with strong emphasis on making advanced phenotyping accessible through affordable technology.

Dr. Rustia leads the INSPIRE project (2024-2027) for smart plant insect resistance evaluation and has presented at 8 professional activities including keynotes on mobile phenotyping. His contributions include the Eggsplorer tool for automated egg counting and Spotibot for rose disease assessment, demonstrating practical implementations of his research.