Developments in space-based hyperspectral sensors, advanced remote sensing, and
machine learning can help crop yield measurement, modelling, prediction, and crop …

Abstract The Pannonian Plain, as the most productive region of Southeast Europe, has a
long tradition of agronomic production as well as agronomic research and plant breeding …

Accurate estimates and predictions of sunflower crop yields at the pixel and field level are
critically important for farmers, service dealers, and policymakers. Several models based on …

Seasonal pasture monitoring can increase the efficiency of pasture utilization in livestock
grazing enterprises. However, manual monitoring of pasture over large areas is often …

Geological mapping in desert, mountainous or densely vegetated areas are sometimes
faced with many constraints. Recently several remote sensing methods are used on ASTER …

Marine oil pollution causes major economic crises in major industrial sectors like fishing,
shipping and tourism. It affects marine life and human even decades after spillage …

Due to increasing anthropogenic pressure on the forest ecosystem, many plant species face
a threat, and many of them are rapidly getting extinct. Proper identification of tree species …

O valor da curva-número (CN) é um parâmetro empírico usado na determinação do
escoamento superficial direto a partir dos excessos de precipitações, sendo dependente …

By far, hyperspectral imaging, as a tool for grave detection, has only been tested in warm,
moist environment where the vegetation re-growth is relatively rapid. In earlier studies …

The dissertation titled" Crop yield prediction using machine learning, multi-source Remote
Sensing technologies and data fusion: a case study of Mezőhegyes Hungary" focuses on …