Agrometeorological models are great tools for predicting yields and improving decision-making. High-quality climatic data essential using these models. However, most developing countries have low-quality with low frequency spatial coverage. In this case, two main options available: gathering more in situ, which is expensive, or gridded data, obtained from several sources. The objective here was...

Regional Climate Models (RCMs) provide climate information required for evaluating vulnerability, impacts, and adaptation at finer scales than their global driving models. As they explicitly resolve the basic conservation state equations, solve physics with more detail, conserving teleconnection of larger provided by Global (GCMs). In South America (SA), regional simulations have been historica...

Models of development are tools that connect the effects on environment, allowing their applications in several studies. Nevertheless, studies scarce models for native forest species Brazil. This study aimed to predict two - Citharexylum myrianthum Cham. and Bixa orellana L. with agrometeorological models, being one linear (Phyllochron) another nonlinear (Wang Engel, 1998). Both cumulative leaf...

We verify the hypothesis that Microsoft’s Kinect device is tailored for defining more efficient interaction compared to the commodity mouse device in the context of information visualization. For this goal, we used Kinect during interaction design and evaluation considering an application on information visualization (over agrometeorological, cars, and flowers datasets). The devices were tested...