Joseph Mhango

Joseph Mhango is a Senior Lecturer in Applied Data Science at Harper Adams University's Department of Agriculture and Environment. His research focuses on leveraging big data from satellite imagery, unmanned aerial vehicles (UAVs), and proximal soil sensors to develop predictive models for agricultural decision support. He specializes in high-throughput plant phenotyping, deep learning for precision agriculture, and automation of agricultural perception tasks.

His research is conducted through the Centre for Agricultural Data Science. He actively engages with the scientific community via Twitter/X (@josemhango), sharing insights on potato research, precision agriculture, and machine learning applications in agriculture.

Mhango's work bridges computer science and agriculture, emphasizing interdisciplinary approaches to solve crop productivity challenges. His publications span crop management, remote sensing, and machine learning-driven agricultural analytics.