Abstract Crambe (Crambe abyssinica Hochst) is a Brassicaceae crop with high potential for
biofuel production without conflict with food industry and with similar energy performance to …

Soil erodibility is one of the most crucial factors used to estimate soil erosion by applying
modeling techniques. Soil data from soil maps are commonly used to create maps of soil …

Precipitation and temperature are the most important climate parameters, which vary both
spatially and temporally. In the present study, rainfall data of 11 synoptic stations and 40 rain …

The detection of spatial variability in field trials has great potential for accelerating plant
breeding progress due to the possibility of better controlling non-genetic variation …

This study empirically tested the robustness of Bayesian Maximum Entropy (BME) in
predicting spatiotemporal data, with an emphasis on skewness, sample size, and spatial …

Data interpolation is widely required in precision agriculture. However, its effectiveness is a
function of the characteristics of the dataset, being necessary for the evaluation of several …

Considering the hypothesis that the wood volumes present spatial dependence, whose
knowledge contributes for the precision forestry, the aim of this work was to estimate the …

The assessment of spatial variability of environmental variables such as soil properties is
important for site-specific management. A geostatistical index that allows quantifying and …

The spatial structure of soil CO2 emission (FCO2) and soil attributes are affected by different
factors in a highly complex way. In this context, this study aimed to characterize the spatial …

Since literature is not unanimous about profitability of variable rate application (VRA), a
systematic analysis is essential to determine when, where and how to increase the …