AGDATABOX-RS computational application: Remote sensing data management

Abstract

Remote sensing can help evolution of agricultural practices by providing periodic information about the status of a given crop over the harvest season, at different scales, and for different segments. Applications in precision agriculture use remote sensing practices based on multispectral images to measure plants’ parameters throughout their development cycle. The aim of the current research is to develop a computational module capable of integrating and providing remote sensing data for the AgDataBox precision agriculture platform. The herein developed application enabled the persistence of a new field, the search for raster images generated by orbital satellites, the selection of vegetation indices, as well as the vectorization and insertion of images of interest in the AgDataBox platform.

Keywords

• Precision agriculture
• Vegetation index
• Web platform