Assessing maize nitrogen content from hyperspectral data through MLRA: preliminary results in a Precision Farming framework

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ADS bibcode: 2019AGUFM.B31K2417B
year: 2019
Listed Authors: Boschetti, M.; Candiani, G.; Tagliabue, G.; Abu El Khair, D.; Moia, F.; Verrelst, J.; Rascher, U.; Colombo, R.; Miglietta, F.; Taramelli, A.; Panigada, C.
Listed Institutions: Institute for Electromagnetic Sensing of the Environment, CNR, Milan, Italy; Institute for Electromagnetic Sensing of the Environment, CNR, Milan, Italy; Department of Earth and Environmental Sciences, University of Milano - Bicocca, Milan, Italy; Department of Earth and Environmental Sciences, University of Milano - Bicocca, Milan, Italy; Department of Earth and Environmental Sciences, University of Milano - Bicocca, Milan, Italy; University of Valencia, Valencia, Spain; Forschungszentrum Jülich, Jülich, Germany; Department of Earth and Environmental Sciences, University of Milano - Bicocca, Milan, Italy; CNR National Research Council, Rome, Italy; Institute for Environmental Protection and Research, Rome, Italy; Department of Earth and Environmental Sciences, University of Milano - Bicocca, Milan, Italy

Assessing maize nitrogen content from hyperspectral data through MLRA: preliminary results in a Precision Farming framework

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