VegAnn, Vegetation Annotation of multi-crop RGB images acquired under diverse conditions for segmentation von Madec, Simon, Irfan, Kamran, Velumani, Kaaviya, Baret, Frederic, David, Etienne, Daubige, Gaetan, Samatan, Lucas Bernigaud, Serouart, Mario, Smith, Daniel, James, Chrisbin, Camacho, Fernando, Guo, Wei, De Solan, Benoit, Chapman, Scott C., Weiss, Marie

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From Prototype to Inference: A Pipeline to Apply Deep Learning in Sorghum Panicle Detection von James, Chrisbin, Gu, Yanyang, Potgieter, Andries, David, Etienne, Madec, Simon, Guo, Wei, Baret, Frédéric, Eriksson, Anders, Chapman, Scott

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GrainPointNet: A deep-learning framework for non-invasive sorghum panicle grain count phenotyping von James, Chrisbin, Smith, Daniel, He, Weigao, Chandra, Shekhar S., Chapman, Scott C.

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