UB has led projects in Kenya and Zimbabwe funded by CIMMYT, and in collaboration with KALRO for the development of image-based software tools for the assessment of maize lethal necrosis. This resulted in the CIMMYT MaizeScanner, now used by numerous research labs around the world. Other relevant projects have been conducted in Tanzania, Kenya, and Zimbabwe on developing novel remote sensing approaches for monitoring the fall armyworm, funded by the FAO of the United Nations for developing new pest tracking algorithms. UAV pilots were trained in Zimbabwe and Tanzania, and mobile phone-based approaches for validation satellite remote sensing were taught throughout parts of Zimbabwe, Kenya, and Tanzania as part of the FAO FAMEWS – UB collaboration. More recently, the UB has been involved in developing a mobile app using Artificial Intelligence for the identification of crop diseases in the MENA region, collaborating with the UAE, Tunisia, and Egypt, Doctor Nabat (https://play.google.com/ store/apps/details?id=org.drnabat and https://drnabat.biosaline.org/). All these software tools developed in previous research projects are fully open-source and freely accessible, making them highly suitable for the incorporation in HEIs ongoing curricula.