Dr. Kadeghe "Kade" Goodluck Fue is a distinguished professional in the field of Digital and Data-Driven Agriculture and Natural Resource Management. He holds membership in several esteemed organizations, including SUASA, IET, IEEE, ASABE, AAAS, and AUVSI, reflecting his active engagement with the global scientific community.

Dr. Fue's expertise spans vital areas such as Precision Agriculture, Artificial Intelligence, Machine Vision, Agricultural Robotics, Agricultural Data Science, and Earth Data Science. He obtained his Bachelor's degree in Computer Engineering from the University of Dar es Salaam in Tanzania, then advanced his studies with a Master's degree in Precision Agriculture from the University of Florida and a PhD in Agricultural Robotics from the University of Georgia, both located in the United States.

With more than 14 years of professional experience, Dr. Fue specializes in full-stack development, which integrates hardware and software systems. He is known for creating innovative algorithms that enhance autonomy and apply AI in the agricultural and natural resource domains.  In addition, he serves as a senior lecturer, consulting engineer, and researcher at the Department of Agricultural Engineering at the School of Engineering and Technology at Sokoine University of Agriculture (SUA).

In his role as the Principal Investigator at the Electronics and Precision Agriculture Lab (EPAL), Dr. Fue has successfully directed collaborations and secured funding from multiple countries, underscoring his leadership in the field. He has also managed numerous consultancy projects that focus on developing sophisticated systems for monitoring agriculture and natural resources. He is the coordinator for the AIMS unit in the office of the deputy vice-chancellor for academic, research, and consultancy. Dr. Fue's significant contributions and achievements have profoundly impacted Digital and Data-Driven Agriculture and Natural Resource Management. 

For more information on Dr. Fue’s research contributions, you can find his ORCID ID, Scopus ID, and Scholar ID through the respective URLs.