Manya Afonso
Papers
2
Total Citations
48
H-Index
2
About
Dr. Manya Afonso is a leading researcher at the intersection of agricultural science and artificial intelligence, specializing in precision agriculture, computer vision, and robotics. Her work focuses on developing high-throughput phenotyping systems that automate the measurement of plant traits, directly addressing critical challenges in crop breeding and yield prediction. Her most-cited paper, "Automatic Phenotyping of Tomatoes in Production Greenhouses Using Robotics and Computer Vision: From Theory to Practice" (2021, 44 citations), demonstrates a complete pipeline from lab to commercial greenhouse, showcasing how deep learning and robotics can replace manual, labor-intensive data collection. This work has significant implications for breeders seeking to estimate genetic value and for growers needing accurate yield forecasts. Dr. Afonso also contributed to foundational object detection methods with "Deep learning based plant part detection in Greenhouse settings" (2019), which established techniques for precisely identifying fruits, leaves, and stems—a prerequisite for automated harvesting and phenotyping. Her research bridges the gap between theoretical computer vision and practical agricultural deployment, making her a key figure in the digital transformation of modern farming.
Research Focus
Key Achievements
Top Papers
- 1
- 2Deep learning based plant part detection in Greenhouse settings4 citations · 2019