Our Team
Meet the talented individuals who make Agriculture Intelligence great. Our team brings together expertise in agricultural engineering, machine learning, and software development to revolutionize precision agriculture.
Matthew Donovan is a 2x founder with a strong background in software development, product management, and business optimization. Matt has led all aspects of the business and increased revenues and acres analyzed year-over-year since 2022, while maintaining AI accuracies and delivering new products.
Yiannis Ampatzidis is a distinguished researcher and academic with extensive experience in agricultural engineering. He holds a Ph.D. in Agricultural Engineering from Aristotle University of Thessaloniki (AUTH) and is currently a faculty member at the University of Florida-IFAS, specializing in precision agriculture and automation.
Christian Lacerda is a skilled ML Engineer and Researcher with a strong background in mechatronic and mechanical engineering. He has extensive experience in machine learning, AWS development, and system engineering, having worked at Agriculture Intelligence, the University of Florida, and Agrorobotica.
Charles Richardson is a versatile software engineer with a strong background in cross-platform applications and computer vision pipelines. He excels in developing scalable and user-friendly applications with extensive experience in modern web technologies.
Board of Advisors
Experienced Senior Executive with a demonstrated history of working in the biotechnology industry. Strong business development professional and extensive experience working with Department of Defense, former Naval Officer.
Dr. John Byatt brings over 40 years of experience in technology transfer, research management, and life sciences. As the former Associate Director of the Office of Technology Licensing at UF, he managed operations and prioritized goals for nearly two decades.
Lucas Fideles-Costa is an expert in precision agriculture, machine learning, and computer vision. His research focuses on UAV-based imaging, AI, and machine learning in agriculture, with numerous publications on precision agriculture.