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Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 91, Iss , Pp 102114- (2020)
A precise knowledge of the crop distribution in the landscape is crucial for the agricultural sector to inform better management and logistics. Crop-type maps are often derived by the supervised classification of satellite imagery using machine learn
Externí odkaz:
https://doaj.org/article/e1b5edc4a63a4806a706b73f4567e44b
Publikováno v:
International Journal of Applied Earth Observation and Geoinformation. 91:102114
A precise knowledge of the crop distribution in the landscape is crucial for the agricultural sector to inform better management and logistics. Crop-type maps are often derived by the supervised classification of satellite imagery using machine learn