Papers

1

Total Citations

2

H-Index

1

About

Basma Latrech is a researcher at the forefront of applying artificial intelligence to solve critical challenges in agriculture and engineering. Her work centers on machine learning and AI-driven modeling, with a particular focus on improving agricultural water management. In her highly cited 2023 paper, "Application of Machine Learning in Agriculture the Reference Evapotranspiration Model Prediction," Latrech demonstrates how advanced computational methods can accurately predict evapotranspiration—a key variable for optimizing irrigation and conserving water resources. This contribution is especially vital as climate change intensifies pressure on global food systems. By bridging the gap between complex AI techniques and practical agricultural needs, Latrech is helping to pave the way for smarter, more sustainable farming practices. Her research not only showcases the power of machine learning in environmental modeling but also highlights its potential to address real-world problems in water-scarce regions. With her work gaining traction among peers, Latrech is establishing herself as an emerging voice in the intersection of AI and sustainable agriculture.

Research Focus

Key Achievements

1
H-Index
1
Papers
2
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
Application of Machine Learning in Agriculture the Reference Evapotranspiration Model Prediction
2 citations · 2023
📈 Most Prolific Year: 2023 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: National Research Institute of Rural Engineering, Water and Forests

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago