DeepCob: precise and high-throughput analysis of maize cob geometry using deep learning with an application in genebank phenomics

[1] Abu Alrob I(2004)Assessing variation in peruvian highland maize: tassel, kernel and ear descriptors Plant Genet Resour Newsltr 137 34-41

[2] Christiansen JL(2019)An exploration of deep-learning based phenotypic analysis to detect spike regions in field conditions for UK bread wheat Plant Phenomics 2019 7368761-61

[3] Madsen S(2014)Field high-throughput phenotyping: the new crop breeding frontier Trends Plant Sci 19 52-1186

[4] Sevilla R(2020)Few-shot learning approach for plant disease classification using images taken in the field Comput Electron Agric 175 105542-111

[5] Ortiz R(2002)A geometric method for determining shape of bird eggs Auk 119 1179-823

[6] Alkhudaydi T(2018)An End-to-end practical plant disease diagnosis system for wide-angle cucumber images Int J Eng Technol 7 106-338

[7] Reynolds D(2018)The ‘PhenoBox’, a flexible, automated, open-source plant phenotyping solution New Phytol 219 808-181

[8] Griffiths S(2010)The pascal visual object classes (VOC) challenge Int J Comput Vision 88 303-644

[9] Zhou Ji(2004)Efficient graph-based image segmentation Int J Comput Vision 59 167-75

[10] De La Iglesia B(2017)A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition Sensors 17 2022-102

[1] Abu Alrob I(2004)Assessing variation in peruvian highland maize: tassel, kernel and ear descriptors Plant Genet Resour Newsltr 137 34-41

[2] Christiansen JL(2019)An exploration of deep-learning based phenotypic analysis to detect spike regions in field conditions for UK bread wheat Plant Phenomics 2019 7368761-61

[3] Madsen S(2014)Field high-throughput phenotyping: the new crop breeding frontier Trends Plant Sci 19 52-1186

[4] Sevilla R(2020)Few-shot learning approach for plant disease classification using images taken in the field Comput Electron Agric 175 105542-111

[5] Ortiz R(2002)A geometric method for determining shape of bird eggs Auk 119 1179-823

[6] Alkhudaydi T(2018)An End-to-end practical plant disease diagnosis system for wide-angle cucumber images Int J Eng Technol 7 106-338

[7] Reynolds D(2018)The ‘PhenoBox’, a flexible, automated, open-source plant phenotyping solution New Phytol 219 808-181

[8] Griffiths S(2010)The pascal visual object classes (VOC) challenge Int J Comput Vision 88 303-644

[9] Zhou Ji(2004)Efficient graph-based image segmentation Int J Comput Vision 59 167-75

[10] De La Iglesia B(2017)A robust deep-learning-based detector for real-time tomato plant diseases and pests recognition Sensors 17 2022-102