Intissar Khoja
Papers
1
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2
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About
Dr. Intissar Khoja is a rising researcher at the intersection of artificial intelligence and agricultural engineering, with a primary focus on applying machine learning to solve critical challenges in water resource management and precision agriculture. Her most cited work, "Application of Machine Learning in Agriculture the Reference Evapotranspiration Model Prediction" (2023), demonstrates her pioneering approach to using AI for accurate evapotranspiration modeling—a fundamental variable for irrigation scheduling and crop water management. By leveraging machine learning algorithms, Dr. Khoja has developed predictive models that enable more efficient water use in agriculture, addressing one of the most pressing issues in sustainable farming. Her research bridges the gap between complex AI methodologies and practical agricultural applications, showing how advanced computational techniques can optimize resource allocation and improve crop yields. With her work gaining traction in the scientific community, Dr. Khoja represents a new generation of researchers who are transforming traditional agricultural practices through data-driven innovation, making her contributions increasingly relevant as climate change intensifies water scarcity challenges worldwide.
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