ABSTRACT
Pasture degradation is a significant challenge in livestock farming
in Brazil, affecting the environmental and economic sustainability
of the sector. Solutions that help manage pasture areas are crucial
for Brazilian agribusiness. In this context, this work presents the
application of YOLO model of Deep Learning to identify exposed
soil, as well as indicators of pasture degradation, in this case, the
number of termite mounds in each area. The image base used refers
to pastures in Goiás and Mato Grosso.
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