Soil spectral library of Piauí State using machine learning for laboratory analysis in Northeastern Brazil

ABSTRACT Soil chemical and physical analyses are the major sources of data for agriculture. However, traditional soil analyses are time-consuming, not cost-efficient, and not environmentally friendly. An alternative to traditional soil analyses is soil spectroscopy. This technique is a low-cost and...

詳細記述

書誌詳細

出版年:	Revista Brasileira de Ciência do Solo
主要な著者:	Wanderson de Sousa Mendes, Cácio Luiz Boechat, Adriano Venicius Santana Gualberto, Ronny Sobreira Barbosa, Yuri Jacques Agra Bezerra da Silva, Paloma Cunha Saraiva, Antonny Francisco Sampaio de Sena, Lizandra de Sousa Luz Duarte
フォーマット:	論文
言語:	英語
出版事項:	Sociedade Brasileira de Ciência do Solo
主題:	soil spectroscopy soil predictions shortwave infrared NIR
オンライン･アクセス:	http://www.scielo.br/pdf/rbcs/v45/1806-9657-rbcs-45-e0200115.pdf