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KFuji RGB-DS database: Fuji apple multi-modal images for fruit detection with color, depth and range-corrected IR data

  • Published:2019-08 Issue: Volume:25 Page:104289
  • ISSN:2352-3409
  • Container-title:Data in Brief
  • language:en
  • Short-container-title:Data in Brief

Author:

Gené-Mola Jordi,Vilaplana Verónica,Rosell-Polo Joan R.,Morros Josep-Ramon,Ruiz-Hidalgo Javier,Gregorio EduardORCID

Funder

Secretaria d’Universitats i Recerca del Departament d’Empresa i Coneixement de la Generalitat de Catalunya

Spanish Ministry of Economy and Competitiveness

European Regional Development Fund

MALEGRA

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference4 articles.

1. Multi-modal deep learning for Fuji apple detection using RGB-D cameras and their radiometric capabilities;Gené-Mola;Computers and Eectronics in Agriculture,2019

2. Faster R-CNN: towards real-time object detection with region proposal networks;Ren;IEEE Trans. Pattern Anal. Mach. Intell.,2017

3. Growth stages of mono- and dicotyledonous plants;Meier;BBCH Monograph,2001

4. Advances in structured light sensors applications in precision agriculture and livestock farming;Rosell-Polo;Adv. Agron.,2015

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