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cs.CV2023
Agave crop segmentation and maturity classification with deep learning data-centric strategies using very high-resolution satellite imagery
Abraham Sánchez, Raúl Nanclares, Alexander Quevedo +4
The responsible and sustainable agave-tequila production chain is fundamental for the social, environment and economic development of Mexico's agave regions. It is therefore releva…
cs.CV2022
Jalisco's multiclass land cover analysis and classification using a novel lightweight convnet with real-world multispectral and relief data
Alexander Quevedo, Abraham Sánchez, Raul Nancláres +4
The understanding of global climate change, agriculture resilience, and deforestation control rely on the timely observations of the Land Use and Land Cover Change (LULCC). Recentl…
cs.CV2021
A trainable monogenic ConvNet layer robust in front of large contrast changes in image classification
E. Ulises Moya-Sánchez, Sebastiá Xambo-Descamps, Abraham Sánchez +2
Convolutional Neural Networks (ConvNets) at present achieve remarkable performance in image classification tasks. However, current ConvNets cannot guarantee the capabilities of the…