Amina Souag
Papers
1
Total Citations
7
H-Index
1
About
Dr. Amina Souag is a leading researcher at the intersection of computer vision, machine learning, and agricultural technology, with a particular focus on smart mushroom cultivation. Her most impactful work centers on developing annotated datasets and AI-driven solutions to address critical challenges in the mushroom industry, including yield prediction, growth analysis, disease detection, and digital twinning. Her highly cited 2024 paper, "A novel dataset of annotated oyster mushroom images with environmental context for machine learning applications," has already garnered 7 citations, underscoring its significance as a foundational resource for the field. By integrating environmental context with visual data, Dr. Souag's contributions enable more accurate and robust machine learning models, advancing the state-of-the-art in precision agriculture. Her work not only enhances productivity and quality control in mushroom farming but also demonstrates the transformative potential of AI in sustainable food production, making her a pivotal figure in the smart agriculture revolution.
Research Focus
Key Achievements
Top Papers
- 1