Application of classification algorithms for the estimation of soil organic carbon in the province of Chimborazo, Ecuador

The objective of the study was to evaluate the decision tree technique using the best supervised classification algorithm, which allows predicting the edaphic carbon content in the province of Chimborazo in native or endemic areas, considering the database of the Ministry of Agriculture and Levestoc...

• Автор: Padilla-Sefla, Oscar Roberto (author)
• Інші автори: Haro-Rivera, Silvia Mariana (author)
• Формат: article
• Мова: spa
• Опубліковано: 2021
• Предмети: Árboles de clasificación; algoritmos de clasificación supervisada; carbono edáfico; Classification trees; supervised classification algorithms; edaphic carbon
• Онлайн доступ: https://revistadigital.uce.edu.ec/index.php/RevFIG/article/view/3518