Abstract
Coffee is one of the most important sectors for the Colombian economy, nonetheless, it suffers a lot of complications: from difficulties to acquire resources to climate change and diseases that attack the crops. This is why it is important to provide mechanisms so the farmers can get decisive information about the health state of their crops and get suggestions about possible treatments to resolve their current state. Because of this, we suggest the use of an intelligent system, capable of recognizing coffee diseases using image processing and being able to recommend treatments based on the current environment of the crop. Our proposed system uses a convolutional neural network for image recognition and a collaborative recommendation system for the generation of treatments.
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Peña, E.G., Arango, D.A.V., Plaza, J.E.G. (2022). Development of a Prototype of an Intelligent System for the Diagnosis and Treatment Recommendations for Coffee Crop Diseases. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Sixth International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 216. Springer, Singapore. https://doi.org/10.1007/978-981-16-1781-2_36
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DOI: https://doi.org/10.1007/978-981-16-1781-2_36
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