Name: Alagbo Oyebanji. Olubunmi
Qualifications: B. Agric., M.Phil
Status: Assistant Lecturer
Specialization: Weed Science/Agronomy
Oyebanji Olubunmi ALAGBO had his Bachelor of Agriculture (B. Agric.) degree in Plant Science in 2012 with a Second Class (upper division) at the Department of Crop Production and Protection, Faculty of Agriculture, Obafemi Awolowo University, Ile-Ife Nigeria. He obtained a Master of Philosophy (M.Phil.) degree in Plant Science (Weed Science) in 2016 in the same institution. He joined the Department of Crop Production and Protection of the Obafemi Awolowo University Ile-Ife as a Graduate Assistant in 2016 and is currently an Assistant Lecturer. He has since been involved in teaching, student supervision and conducting field and laboratory research on Agronomy and Weed Science related courses at the University. Currently a member of the Weed Science Society of Nigeria (WSSN), European Weed Research Society (EWRS) and International Society of Precision Agriculture (ISPA) and collaborating with researchers both local and abroad. Oyebanji won the Ekiti State scholarship awards both in his undergraduate and postgraduate programmes. His current doctoral programme is jointly supported by Nigerian TETFUND scholarship and the University of Hohenheim, Stuttgart, Germany. He has published six research articles in peer-reviewed journals. His research activities so far have revolved around weed management in rice and the development of autonomous mechanical weeding strategies for ridge tillage systems. https://www.researchgate.net/profile/Oyebanji-Alagbo-2 .
Oyebanji has attended several conferences and workshops (local and international) since 2015, where he had the opportunity to present his research activities. He is currently running his doctoral program at the Weed Science Department, Institute of Phytomedicine, University of Hohenheim, Stuttgart Germany. His current research focus is on developing a new innovative approach for robotic weeding in wide-row crops. He currently collaborated with other colleagues in his research group to develop a mechanical weeder modified for ridge tillage systems https://doi.org/10.3390/agronomy12040910. He also engaged in the development and investigation of camera-guided inter-row and intra-row mechanical weeding hoes based on Artificial Intelligence for weed/crop discrimination. He is married and blessed with two kids.