Supervised and Weakly Supervised Deep Learning for Segmentation and Counting of Cotton Bolls Using Proximal Imagery

The total boll count from a plant is one of the most important phenotypic traits for cotton breeding and is also an important factor for growers to estimate the final yield. With the recent advances in deep learning, many supervised learning approaches have been implemented to perform phenotypic tra...

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Autors principals:	Shrinidhi Adke, Changying Li, Khaled M. Rasheed, Frederick W. Maier
Format:	Artigo
Idioma:	Inglês
Publicat:	MDPI AG 2022-05-01
Col·lecció:	Sensors
Matèries:	cotton phenotyping boll counting supervised learning mask R-CNN weakly supervised learning
Accés en línia:	https://www.mdpi.com/1424-8220/22/10/3688
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