Deep learning for noninvasive classification of clustered horticultural crops – A case for banana fruit tiers

Author:

Le Tuan-Tang,Lin Chyi-Yeu,Piedad Eduardo Jr

Funder

Department of Science and Technology – Philippine Council for Industry, Energy and Emerging Technology Research

Development

both Taiwan Building Technology Center and Center for Cyber-Physical System Innovation

Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) in Taiwan

Publisher

Elsevier BV

Subject

Horticulture,Agronomy and Crop Science,Food Science

Reference30 articles.

1. Technology on reducing postharvest losses and maintaining quality of fruit and vegetables (Philippines);Aquino-Nuevo,2010

2. Image segmentation for fruit detection and yield estimation in apple orchards;Bargoti;J. Field Robot.,2017

3. Deep learning for tomato diseases: classification and symptoms visualization;Brahimi;Appl. Artif. Intell.,2017

4. Bananas: the Spread of a Tropical Forest Fruit As an Agricultural Staple;Castillo,2015

5. Deep learning-based classification of hyperspectral data;Chen;IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens.,2014

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