A new methodology for estimating the grapevine-berry number per cluster using image analysis

Biosystems Engineering

Volumn 156, Issue , 2017, Pages 80-95

  Aquino, Arturo ^a   Diago, Maria P ^a   Millán, Borja ^a   Tardáguila, Javier ^a  

^a UNIVERSITY OF LA RIOJA   (Spain)

Author keywords

Berries' segmentation; Computer vision; Plant phenotyping tool; Smart devices; Vitis vinifera L; Yield prediction

Indexed keywords

COMPUTER VISION; FRUITS; LIGHT REFLECTION; MATHEMATICAL MORPHOLOGY; NETWORK LAYERS; PLANT SHUTDOWNS; SMARTPHONES; SUPPORT VECTOR MACHINES;

IMAGE ANALYSIS ALGORITHMS; PLANT PHENOTYPING; RECALL AND PRECISION; SMART DEVICES; SMART-PHONE APPLICATIONS; THREE-LAYER NEURAL NETWORKS; VITIS VINIFERA L; YIELD PREDICTION;

IMAGE ANALYSIS;

EID: 85012110571     PISSN: 15375110     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.biosystemseng.2016.12.011     Document Type: Article

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