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Published in 2020 at "IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing"
DOI: 10.1109/jstars.2020.2973602
Abstract: The population growth and consequent global rise in food demand require increasingly efficient agricultural solutions, in what is commonly called digital agriculture. Among promising initiatives, the use of remotely sensed data combined with machine learning…
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Keywords:
convolutional lstm;
crop;
generalization convolutional;
area ... See more keywords
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Published in 2017 at "Revista Brasileira de Engenharia Agricola e Ambiental"
DOI: 10.1590/1807-1929/agriambi.v21n6p427-432
Abstract: ABSTRACT. The knowledge on reliable estimates of areas under sugarcane cultivation is essential for the Brazilian agribusiness, since it helps in the development of public policies, in determining prices by sugar mills to producers and…
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Keywords:
mapping sugarcane;
landsat oli;
sugarcane crop;
area ... See more keywords