Article Versions Notes

Habyarimana E, Piccard I, Catellani M, De Franceschi P, Dall’Agata M. Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques. Agronomy. 2019; 9(4):203. https://doi.org/10.3390/agronomy9040203

Habyarimana, Ephrem, Isabelle Piccard, Marcello Catellani, Paolo De Franceschi, and Michela Dall’Agata. 2019. "Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques" Agronomy 9, no. 4: 203. https://doi.org/10.3390/agronomy9040203

Habyarimana, E., Piccard, I., Catellani, M., De Franceschi, P., & Dall’Agata, M. (2019). Towards Predictive Modeling of Sorghum Biomass Yields Using Fraction of Absorbed Photosynthetically Active Radiation Derived from Sentinel-2 Satellite Imagery and Supervised Machine Learning Techniques. Agronomy, 9(4), 203. https://doi.org/10.3390/agronomy9040203