Asma Lasram
Papers
1
Total Citations
2
H-Index
1
About
Asma Lasram is a researcher at the forefront of applying artificial intelligence to solve critical challenges in agriculture and engineering. Her work centers on leveraging machine learning to enhance predictive modeling, with a particular focus on improving water resource management through accurate evapotranspiration forecasting. In her highly cited 2023 paper, "Application of Machine Learning in Agriculture: The Reference Evapotranspiration Model Prediction," Lasram demonstrates how AI can optimize irrigation strategies, directly addressing global food and water security concerns. This study, which has already garnered 2 citations, showcases her ability to translate complex computational methods into practical, real-world solutions. By bridging the gap between advanced machine learning techniques and agricultural sustainability, Lasram is contributing to a future where data-driven decisions can mitigate the impacts of climate change on crop production. Her research not only highlights the versatility of AI beyond traditional engineering domains but also establishes her as a promising voice in the growing field of precision agriculture.
Research Focus
Key Achievements
Top Papers
- 1