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Proceedings - IEEE International Symposium on Circuits and Systems(2)
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A novel approach to identify the spectral bands that predict moisture content in canola and wheat
ArticleAbstract: Due to the relevance of agriculture in economy and human development, the inclusion of technology inPalabras claves:deep learning, feature selection, Game theory, hyperspectral, Moisture Content, Plant phenotypingAutores:Julio Torres-Tello, Ko S.B.Fuentes:googlescopusIdentifying useful features in multispectral images with deep learning for optimizing wheat yield prediction
Conference ObjectAbstract: Since unmanned aerial vehicles have been utilized in plant phenotyping, they have revolutionarily imPalabras claves:artificial vision, convolutional neural networks, deep learning, Plant phenotyping, UAV, Wheat yield pbkp_redictionAutores:Julio Torres-Tello, Ko S.B.Fuentes:googlescopusImproving the Detection of Explosives in a MOX Chemical Sensors Array with LSTM Networks
ArticleAbstract: Entities throughout the world face the problem of detecting hidden explosives, where human and caninPalabras claves:classification, deep learning, Electronic nose, explosives, fast detection, Machine learning, sensor arraysAutores:Ana V. Guamán, Julio Torres-Tello, Ko S.B.Fuentes:googlescopusOptimizing a Multispectral-Images-Based DL Model, Through Feature Selection, Pruning and Quantization
Conference ObjectAbstract: The inclusion of technology in agriculture is highly relevant given the increasing global demand forPalabras claves:deep learning, Edge computing, feature selection, multispectral, pruning, quantizationAutores:Julio Torres-Tello, Ko S.B.Fuentes:googlescopus