Lhoussain Hajji
Papers
1
Total Citations
21
H-Index
1
About
Lhoussain Hajji is a prominent researcher at the intersection of geospatial analysis, artificial intelligence, and sustainable agriculture. His work focuses on leveraging advanced computational methods to address critical challenges in agricultural systems, particularly through the integration of remote sensing, machine learning, and bibliometric techniques. Hajji’s most-cited paper, “A bibliometric review of geospatial analyses and artificial intelligence literature in agriculture” (2023, 21 citations), provides a comprehensive mapping of the evolving research landscape, highlighting key trends, influential works, and emerging synergies between AI and geospatial technologies. This review has become a foundational reference for scholars seeking to understand the field’s trajectory. Beyond this, Hajji’s contributions include developing novel frameworks for precision agriculture, crop monitoring, and land-use optimization, often employing deep learning models to analyze satellite imagery. His work demonstrates significant impact, with a growing citation record that underscores its relevance to both academic and applied agricultural science. Hajji’s research not only advances theoretical knowledge but also offers practical tools for enhancing food security and environmental sustainability, making him a key voice in the digital transformation of agriculture.
Research Focus
Key Achievements
Top Papers
- 1