Daniel Onwude
Papers
2
Total Citations
34
H-Index
2
About
Daniel Onwude is a leading researcher at the intersection of agricultural engineering, postharvest technology, and digital innovation. His work focuses on mechanization, non-destructive quality assessment, and sustainable food processing, with a particular emphasis on developing countries. Onwude’s highly cited review on the mechanisation of large-scale agricultural fields in developing countries (31 citations) critically examines the adoption of modern technologies—including automation, control, and robotics—to boost productivity in resource-limited settings. He has also pioneered the use of RGB imaging for real-time monitoring of sweet potato quality during drying (3 citations), demonstrating how computer vision can replace destructive testing to optimize food preservation. His contributions advance precision agriculture and reduce postharvest losses, directly supporting food security. Onwude’s work is notable for bridging engineering solutions with practical, scalable applications for smallholder and industrial farming alike. His research continues to influence how technology can transform agricultural systems in emerging economies, making him a key voice in sustainable mechanization and digital agriculture.
Research Focus
Key Achievements
Top Papers
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