@article{Campos de Vasconcellos_Pereira Trindade_Bochi da Silva Volk_Bidese de Pinho_2020, title={Method Applied To Animal Monitoring Through VANT Images}, volume={18}, url={https://latamt.ieeer9.org/index.php/transactions/article/view/2091}, abstractNote={<p>One of the necessary demands in the cattle ranching of extensive management is the counting of animals in areas of tens of hectares, costly when carried out manually and locally. In this context, this work proposes and discusses the efficacy of a semi-autonomous, non-invasive method for remote<br>identification of animals in the field, applicable to precision livestock systems. The method was conceived from an exploratory research methodology based on remote sensing techniques that include image collection processes by aerial surveying with RGB camera embedded in unmanned aerial vehicle, persistence of<br>images obtained by means of storage in databases space-time and processing of stored images for the construction of a rural property ortomosaic succeeded by the application of patterns discovery processes, making use of machine learning, especially convolutional neural networks. According to the experiments<br>carried out, the method was effective, being able to identify and count annals from the collection of images made by UAV at 100 m height, with an accuracy of up to 95%, including the approximate geographical position of the animals to field.</p>}, number={7}, journal={IEEE Latin America Transactions}, author={Campos de Vasconcellos, Bruno and Pereira Trindade, José Pedro and Bochi da Silva Volk, Leandro and Bidese de Pinho, Leonardo}, year={2020}, month={May}, pages={1280–1287} }