• Get to know the dedicated professionals behind our success
Profile picture for user Baitu

Geofrey Prudence Baitu

Assistant Lecturer

College of Agricultural Sciences and Food Technology

Agricultural Engineering

Biography

Geofrey Prudence Baitu is an Assistant Lecturer in the Department of Agricultural Engineering at our university. He holds a Bachelor’s degree in Agricultural Engineering and a Master’s degree in Agricultural Machinery and Technologies Engineering. His academic work focuses on applying engineering principles, data-driven methods, and digital technologies to address challenges in agricultural production systems, with particular attention to practicality, scalability, and adaptability. Mr. Baitu believes in equipping students with skills to analyse agricultural problems and design solutions that can adapt as conditions change.

Research Interest

  • Agricultural systems engineering
  • Agricultural robotics and automation
  • Agricultural data analytics
  • Computer vision
  • Precision agriculture

 

Contacts

Email:

Projects

Detection and classification of brown marmorated stink bug (Halyomorpha halys) damage in hazelnut using image processing and deep learning techniques, (2021-2023). Research Assistant

Machine-vision-based classification of cashew nuts using colour features, (2021-2022). Researcher

Publications

Eissa, M. O. S., Öztekin, Y. B., Gadalla, O. A. A., Baitu, G. P., & Idress, K. A. D. (2025). Machine learning-based prediction of biomass energy potential from agricultural residues in Algeria. International Journal of Energy Studies, 10(4), 1879-1904. 

Fue, K. G., Baitu, G. P., Jokonya, O., Banwart, S., and Korsten, L. (2025). Digitalization of Precision Fertilization in East Africa: Adoption, Benefits and Losses. Frontiers in Sustainable Food Systems, 9:1497577. https://doi.org/10.3389/fsufs.2025.1497577  

Idress, K. A. D., Gadalla, O. A. A., Öztekin, Y. B., Baitu, G. P. (2024). Machine Learning-based for Automatic Detection of Corn-Plant Diseases Using Image Processing. Journal of Agricultural Sciences, 30 (3), 464-476. https://doi.org/10.15832/ankutbd.1288298 

Baitu, G. P., Gadalla, O. A. A. & Öztekin, Y. B. (2023). Traditional Machine Learning-Based
Classification of Cashew Kernels Using Colour Features. Journal of Tekirdağ Agricultural Faculty, 20
(1), 115-124. https://doi.org/10.33462/jotaf.1100782 

Gadalla, O. A. A., Öztekin, Y. B. & Baitu, G. P. (2022). Application of Computer Vision and Image
Processing Technology in Agro-Product Quality Control- Review. Journal of Agricultural Machinery
Science, 18 (2), 105-113.