SISDA - Intelligent Systems for Decision Support in Agriculture
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With this text, I mean to provide you with tools that have been useful to me in this process of research training.
We used data mining techniques and the database from a sugarcane mill and showed how these databases have been underutilized
Last week, in the 6th and the 7th, professor Luiz Henrique participated in the launching of the Red Iberoamericana de Agro-Bigdata y DSS para un sector agropecuario sostenible in the I BigDSSAgro Workshop.
Popularization of friendly tools for machine learning (ML), such as R and Weka, made possible the ML application in several knowledge areas. However, for the real gain in using ML, these easy to use tools should be coupled with good practices.