Although in recent years integrated crop-livestock systems have been replacing traditional agricultural production and extensive/degraded pastureland areas, there is a lack of knowledge about its impact on soil variability and greenhouse gas flux. This proposal aims to monitor and model integrated areas, considering its dynamics, combining remote sensing, precision agriculture and biogeochemical models, in order to achieve sustainable production systems. Capturing the variability in soil-landscape properties is a challenge for crop producers attempting to integrate spatial information into the decision process of precision agriculture (PA). Data fusion technique, using the information from different sources could be used as auxiliary information to supplement site-specific management and the consequently increased efficiency under the sustainability point of view. There is increasing interest in intensifying agricultural production from pasture lands, for example by converting degraded pasture areas into mixed crop-livestock production. However, this is an area with little ongoing research and many open questions regarding land use change and management practices that maintain agroecosystem sustainability.
News published in Agência FAPESP Newsletter about the scholarship: