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The apiculture is a very important livestock activity for Mexico. Yucatan is one of the states that contributes most in the production and export of honey. However, the apiculture is threatened by a poor organization of beekeepers, poor location of the apiaries and reduction of vegetation, which affects the polliniferae flora, main source of food for different species of bees. This work makes the proposal to use spectral information to identify the different pollen producing plants using remote viewing, image processing and artificial neural networks. In this work, the foundations are laid for making software that contributes to beekeepers in the quantification of the polliniferae flora that exist around their apiaries and serves them as a tool to prevent themselves from famines,

Enfoque para la clasificación de vegetación polinífera usando imágenes multiespectrales y redes neuronales