Antonio Tabasco
Remote Sensing Applications and Services Division Manager
GMV

Biography
Antonio Tabasco is leading the Remote Sensing Applications and Services Division within GMV and his expertise is in Geoinformatics including, in particular, spatial analysis, forest management, Spatial Data Infrastructures (SDI) and precision agriculture. Antonio is responsible for overall business development and strategic planning of Earth Observation derived services business for the civilian government and commercial sector. Previous to this position, Antonio led technical and management responsibilities for several projects at European level addressing specification and development of innovative services and systems based on integration of Earth Observation infrastructures with in-situ systems.

Abstract
Analysis, control and monitoring as pillars for Precision Agriculture

The structural development and the imposed requirements on agriculture implies that innovative technology and knowledge are decisive for the farmer. The challenges related to producing food and maximizing results while minimizing costs are enormous. There is an urgent need for innovation and technological development to maximize resources while at the same time maintain sustainable development. Three main areas are proposed as the basics for this technological development: remote sensing, big data and fleet management. The use of very high resolution satellite imagery to gather and analyze information about the variability of soil and crop conditions has clear impact on the efficiency of crop inputs within small areas of the farm field. Main goal is achieving variability within the field through a controlled monitoring using state-of-the-art satellite technology. Big data refers to the current situation where enormous amounts of data are received from different sensors. The exploitation of this information is a key factor for improving results. Brand new geoservices are being provided to analyze ingested information in real-time to flag critical issues. At the top level, the possibilities of the combination of remote-sensed data coupled with ground-sensed data allowing the generation of summarized information tailored for the needs of the specific user. Agricultural fleet management contributing to an optimized decision making concerning e.g. resource allocation, scheduling, and real time monitoring of vehicles.