Combining computer vision and deep learning to classify varieties of Prunus dulcis for the nursery plant industry

Autor: Sergio Borraz‐Martínez, Joan Simó, Anna Gras, Mariàngela Mestre, Ricard Boqué, Francesc Tarrés

Varietal control to avoid unwanted varietal mixtures is an important objective for the nursery plant industry. In this study, we have developed and analyzed the capabilities of a computer vision system based on deep learning for the control of plant

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e06b2ba60b623c3e972805048a97256b
https://hdl.handle.net/2117/383846

Multivariate Classification of Prunus Dulcis Varieties using Leaves of Nursery Plants and Near Infrared Spectroscopy

Autor: Sergio Borraz-Martínez, Mariàngela Mestre, Anna Gras, Ricard Boqué, Joan Simó

Publikováno v: Scientific Reports, Vol 9, Iss 1, Pp 1-9 (2019)
UPCommons. Portal del coneixement obert de la UPC
Universitat Politècnica de Catalunya (UPC)
Scientific Reports

The emergence of new almond tree (Prunus dulcis) varieties with agricultural interest is forcing the nursery plant industry to establish quality systems to keep varietal purity in the production stage. The aim of this study is to assess the capabilit

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2d38d649c8520c2da868ec4f123a5b63
http://link.springer.com/article/10.1038/s41598-019-56274-5

Author response for 'Varietal quality control in the nursery plant industry using computer vision and deep learning techniques'

Autor: Anna Gras, Sergio Borraz-Martínez, Francesc Tarres, Joan Simó, Mariàngela Mestre, Ricard Boqué

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7dc0b0cc900c4d69ba43bd4f92effe75
https://doi.org/10.1002/cem.3320/v2/response1