Pattern Recognition in Thermal Images of Plants Pine Using Artificial Neural Networks
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Data
2013-01-01
Autores
Bentivoglio Colturato, Adimara
Benjamin Gomes, André
Pigatto, Daniel Fernando
Bentivoglio Colturato, Danielle
Roschildt Pinto, Alex Sandro [UNESP]
Castelo Branco, Luiz Henrique
Furtado, Edson Luiz [UNESP]
Lucas Jaquie Castelo Branco, Kalinka Regina
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Resumo
Pine is used primarily as a source of raw materials for the industries of lumber and laminated plates, resin, pulp and paper. Pine may be affected, from the nursery to adults, in plantations by pathogens such as fungi and/ or pests. The aim of this work was to recognize patterns in images obtained from a thermal plants camera in pine. An Unmanned Aerial Vehicle with a thermal camera embedded was used to take video images of pine trees. The video was segmented in pictures and all the pictures were standardized to the same size 240 x 350px. The images were segmented and a two-layer neural network feed-forward and the Scaled Conjugate Gradient (SCG) algorithm were used. The results proved to be satisfactory, with most errors near zero. © Springer-Verlag Berlin Heidelberg 2013.
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Artificial neural networks, Pine tree and UAVs, thermal images
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Communications in Computer and Information Science, v. 383 CCIS, n. PART 1, p. 406-413, 2013.