Development of a system to recognize the status of coffee crops in real time using artificial neuronal networks
DOI:
https://doi.org/10.33131/24222208.362Keywords:
Machine Learning, Deep Learning, Artificial Intelligence, Coffee Leaf, Neural Networks, Machine VisionAbstract
This project proposes the use of artificial intelligence algorithms applied in the field of computational vision to determine the state of coffee crops through images taken from plantations in different oxidation states, allowing the farmer or peasant to have the possibility of knowing in real time, the status of the plantations through the coffee leaves, which offer important information that allows determining the ripening phase of the fruit. For this, a classifier type Convolutional Neural Network has been implemented, composed of eight layers deep. This has been trained using the Google Colab tool, obtaining a 98.72% precision for the training data and 70.17% precision for the validation data.
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