Open AccessDETECÇÃO DE ANIMAIS BOVINOS UTILIZANDO IMAGENS AÉREAS POR MEIO DE REDES NEURAIS
Author(s) -
Wellington Hiroshi Takano,
Leandro Luiz de Almeida,
Francisco Assis da Silva
Publication year - 2021
Publication title -
colloquium exactarum
Language(s) - English
Resource type - Journals
ISSN - 2178-8332
DOI - 10.5747/ce.2021.v13.n2.e358
Subject(s) - drone , computer science , artificial neural network , cover (algebra) , artificial intelligence , computer vision , biology , engineering , mechanical engineering , genetics
Nowadays, with the evolution of technology, many areas that cover agriculture are making use of professional drones that have several tools that help in monitoring. With the advancement of Neural Networks, several researchers are choosing to use neural networks to detect objects. As the counting of bovine animals requires time and physical effort, in addition to being risky in certain situations, with the use of aerial images and neural networks, this activity becomes more viable and with less time spent. In this work, the focus is on detecting bovine animals using two neural networks, with aerial images captured from a drone.