Determining the Most Important Physiological and Agronomic Traits Contributing to Maize Grain Yield through Machine Learning Algorithms: A New Avenue in Intelligent Agriculture

标题
Determining the Most Important Physiological and Agronomic Traits Contributing to Maize Grain Yield through Machine Learning Algorithms: A New Avenue in Intelligent Agriculture
作者
关键词
-
出版物
PLoS One
Volume 9, Issue 5, Pages e97288
出版商
Public Library of Science (PLoS)
发表日期
2014-05-16
DOI
10.1371/journal.pone.0097288

向作者/读者发起求助以获取更多资源

Add your recorded webinar

Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.

Upload Now

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