The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling

Title
The effect of tuning, feature engineering, and feature selection in data mining applied to rainfed sugarcane yield modelling
Authors
Keywords
Artificial neural networks, Boosted regression trees, Machine learning, Random forest, Regression trees, Support vector machines
Journal
COMPUTERS AND ELECTRONICS IN AGRICULTURE
Volume 128, Issue -, Pages 67-76
Publisher
Elsevier BV
Online
2016-08-30
DOI
10.1016/j.compag.2016.08.015

Ask authors/readers for more resources

Reprint

Contact the author

Find Funding. Review Successful Grants.

Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.

Explore

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started