Accurate and timely regional estimates of agricultural production are key for decision makers. This study aims to understand how different machine learning techniques impact …
J Rolim, A Navarro, P Vilar, C Saraiva… - Engenharia …, 2019 - SciELO Brasil
Accurate crop data are essential for reliable irrigation water requirements (IWR) calculations, which can be acquired during the crop growth season for a given region using earth …
Brazil, as a global player in soybean production, contributes about 35% to the world's supply and over half of its agricultural exports. Therefore, reliable information about its development …
C Cechim, JA Johann, JFG Antunes - Revista Brasileira de …, 2017 - SciELO Brasil
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 …
In the last decades, several methodologies for estimating crop phenology based on remote sensing data have been developed and used to create different algorithms. Although many …
Spatiotemporal data fusion algorithms have been developed to fuse satellite imagery from sensors with different spatial and temporal resolutions and generate predicted imagery. In …
Vegetation Indices are important for agricultural monitoring and the assessment of biophysical attributes of different crops. In this context, the objective of this study was to …
WR Becker, LCDA Silva, J Richetti, TB Ló… - International Journal of …, 2021 - Taylor & Francis
ABSTRACT The knowledge of Sowing Dates (SD), Maximum Vegetative Development Dates (MVDD), and Harvest Dates (HD) of crops is important for estimating and forecasting …
Due to the difficulty in discriminating soybean and corn in mappings obtained by the time series of satellite images, this study aimed to apply the data mining techniques to separate …