Decision Support on the adoption of Precision Agriculture: Information Technology towards Agronomic Knowledge

Abstract

This review introduces solutions to overcome present gaps on the development of simple models to support decision on the adoption of precision agriculture. It introduces the context of limitations to develop interactive, accessible, and shared systems aiming the integration of scientific and tacit knowledge. The state of art and the detailed description of enabling technologies refer to methods that were developed with a wide spread, distributed and diversified historical-dataset (i.e.: 10 seasons, 128 paddocks, 12 grain crops, 3 agroclimatic regions, and 4 intensive monitoring technologies). Methods develop in Australia have now been applied for validation and calibration to different crop production systems in Brazil. Preliminary results have proved robust and stable mathematical computations on different crop and perennial Brazilian production systems, besides to indicate required adjustments for some specific production management systems. In closing, the outcomes have also shown profitable returns from recent initiatives in the Embrapa Precision Agriculture Research Network. Already providing a shared data repository with registers from two seasons, on 17 paddocks, 9 agricultural production systems, and 3 intensive monitoring technologies.