Dimitrios Moshou

Papers

Total Citations

273

H-Index

About

Dimitrios Moshou is a leading figure in precision agriculture, whose work bridges engineering and plant science to create intelligent systems for crop management. His research focuses on the development of advanced sensing and machine learning techniques for real-time detection of biotic stresses, including weeds and fungal diseases. Moshou’s major contributions include pioneering an active learning system for weed species recognition using hyperspectral sensing, a method that dramatically improves classification accuracy while reducing the need for extensive labeled training data. This work, cited over 169 times, has set a benchmark for non-destructive, automated weed control. He also developed an intelligent multi-sensor system for detecting and treating fungal diseases in arable crops, integrating spectral, thermal, and fluorescence sensors with decision-support algorithms. This system, cited 104 times, enables early, targeted intervention, minimizing chemical use and environmental impact. Moshou’s innovations have been instrumental in advancing site-specific management, making him a key contributor to sustainable agriculture. His achievements include leading major European research projects and publishing extensively in top-tier journals, solidifying his reputation as a pioneer in smart farming technologies.