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Assessment of maize yield and phenology by drone-mounted superspectral camera
Authors:Herrmann  Ittai  Bdolach  Eyal  Montekyo  Yogev  Rachmilevitch  Shimon  Townsend  Philip A  Karnieli  Arnon
Institution:1.The Robert H. Smith Institute of Plant Sciences and Genetics in Agriculture, Hebrew University of Jerusalem, 7610001, Rehovot, Israel
;2.The Remote Sensing Laboratory, Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, 8499000, Beersheba, Israel
;3.Evogene Ltd., 7612002, Rehovot, Israel
;4.French Associates Institute for Agriculture and Biotechnology of Drylands, The Jacob Blaustein Institutes for Desert Research, Ben-Gurion University of the Negev, 8499000, Beersheba, Israel
;5.Department of Forest & Wildlife Ecology, University of Wisconsin-Madison, Madison, WI, 53706, USA
;
Abstract:Precision Agriculture - The capability of unmanned aerial vehicle (UAV) spectral imagery to assess maize yield under full and deficit irrigation is demonstrated by a Tetracam MiniMCA12 11 bands...
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