Outputs (22)

Learning to Count Leaves in Rosette Plants (2015)
Presentation / Conference Contribution
Giuffrida, M. V., Minervini, M., & Tsaftaris, S. (2015). Learning to Count Leaves in Rosette Plants. In Proceedings of the Computer Vision Problems in Plant Phenotyping Workshop 2015. https://doi.org/10.5244/c.29.cvppp.1

Counting the number of leaves in plants is important for plant phenotyping, since it can be used to assess plant growth stages. We propose a learning-based approach for counting leaves in rosette (model) plants. We relate image-based descriptors lear... Read More about Learning to Count Leaves in Rosette Plants.

Chickpea (Cicer arietinum L.) root system architecture adaptation to initial soil moisture improves seed development in dry-down conditions
Preprint / Working Paper
Bontpart, T., Robertson, I., Giuffrida, V., Concha, C., Scorza, L. C. T., McCormick, A. J., …Doerner, P. (2020). Chickpea (Cicer arietinum L.) root system architecture adaptation to initial soil moisture improves seed development in dry-down conditions

Soil water deficit (WD) impacts vascular plant phenology, morpho-physiology, and reproduction. Chickpea, which is mainly grown in semi-arid areas, is a good model plant to dissect mechanisms involved in drought resistance. We used a rhizobox-based... Read More about Chickpea (Cicer arietinum L.) root system architecture adaptation to initial soil moisture improves seed development in dry-down conditions.