Sammar Abbas
Papers
1
Total Citations
32
H-Index
1
About
Dr. Sammar Abbas is a pioneering researcher at the intersection of artificial intelligence and plant science, with a primary focus on leveraging machine and deep learning to combat biotic and abiotic stresses in crops. Her landmark 2024 paper, "Machine and Deep Learning: Artificial Intelligence Application in Biotic and Abiotic Stress Management in Plants," has already garnered 32 citations, underscoring its rapid influence in the field. In this work, Abbas elucidates how environmental and biological stressors—ranging from pathogens to drought—disrupt metabolite biosynthesis, gene expression, and genome stability, while demonstrating that controlled, light doses of stress can paradoxically trigger beneficial adaptive responses. By integrating AI-driven predictive models, she offers scalable solutions for early stress detection and precision agriculture, aiming to mitigate global food production losses. Her research bridges computational biology and agronomy, providing tools to decode complex plant stress responses. Abbas’s contributions are vital for developing resilient crops in an era of climate change, making her a key voice in sustainable agriculture and smart farming innovation.
Research Focus
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Top Papers
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