,

Kyung-Min Lee1, Timothy J Herrman1, Il-Kyu Kim2

  • 1Office of the Texas State Chemist, Texas A&M AgriLife Research, Texas A&M University System, College Station, Texas, USA.

概括

机器学习模型准确地预测了德克萨斯州玉米中的 aflatoxin污染. 渐变增强决策树模型实现了近99%的准确性,识别了预防的关键天气和土壤因素.