Conejo Rodriguez, F., Gonzalez Guzman, J., Ramirez, G. J., Urban, M. O., & Wenzl, P. (2023). Digital functional phenomic descriptors featured from machine learning-driven image-based phenotyping improve the accuracy of classic descriptors: A case study on Arachis spp. and Phaseolus spp.
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Chicago Style (17th ed.) Citation
Conejo Rodriguez, F., J. Gonzalez Guzman, Gil J. Ramirez, Milan Oldřich Urban, and Peter Wenzl. Digital Functional Phenomic Descriptors Featured from Machine Learning-driven Image-based Phenotyping Improve the Accuracy of Classic Descriptors: A Case Study on Arachis Spp. and Phaseolus Spp. 2023.
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MLA (9th ed.) Citation
Conejo Rodriguez, F., et al. Digital Functional Phenomic Descriptors Featured from Machine Learning-driven Image-based Phenotyping Improve the Accuracy of Classic Descriptors: A Case Study on Arachis Spp. and Phaseolus Spp. 2023.
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Warning: These citations may not always be 100% accurate.