Abdul Munnaf

Abdul Munnaf is an Assistant Professor in Agricultural Biosystems Engineering at Wageningen University & Research, affiliated with the Plant Research International (PE&RC) institute. His work focuses on integrating advanced sensor technologies, machine learning, and geospatial analysis to improve precision agriculture practices. Key research areas include proximal sensors, soil fertility management, and crop growth modeling.

He has developed novel sensing systems for real-time soil property measurement and mapping, with applications in nitrogen fertilization optimization and site-specific seeding strategies. Munnaf’s projects emphasize sustainability, such as improving bio-based fertilizer efficacy and reducing environmental impacts through data-driven approaches.

His research outputs (29 articles) span topics like visible-near-infrared spectroscopy for soil analysis, robotic systems for agricultural automation, and machine learning models to predict soil organic carbon. He co-supervises PhD candidates in sensor technology and biofertilizer characterization. Collaboration networks include Belgium and China, reflecting his global research impact.

Munnaf’s work bridges engineering and agronomy, addressing challenges in soil variability, crop productivity, and digital agriculture. Ongoing projects include developing biodegradable sensing technologies and evaluating spectral fusion techniques for soil attribute estimation.