The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder

作     者：Marlon Rodrigues Josiane Carla Argenta Everson Cezar Glaucio Leboso Alemparte Abrantes dos Santos ÖnderÖzal Amanda Silveira Reis Marcos Rafael Nanni 

作者机构：Department of AgronomyState University of MaringáColombo AvenueMaringá87020900Brazil Department of Plant and Soil SciencesMississippi State UniversityMS 39762USA International Agricultural Research and Training CenterIzmir 35660Turkey 

出 版 物：《Information Processing in Agriculture》 (农业信息处理（英文）)

年 卷 期：2024年第11卷第1期

页      面：26-44页

核心收录：

学科分类：09[农学] 0903[农学-农业资源与环境] 090301[农学-土壤学] 

基　　金：Coordenação de Aperfeiçoamento de Pessoal de Nível Superior  CAPES 

主　　题：Alternative inputs Available Ions Multivariate analysis Soil Spectroscopy 

摘      要：Some of the problems attributed to traditional laboratory analyses that limit the correct assessment of the nutrient contents in the soil are time requirements and high cost of the soil nutrient *** solve these problems,a study was carried out to evaluate the use of visible,near-infrared,and short-wave infrared(Vis-NIR-SWIR)spectroscopy in the prediction of soil available ions submitted to the application of rock *** study was carried out on an Arenosol in ParanavaíCity/***(rock powders)were arranged within a split-plot system designed in randomized blocks with four *** was cultivated for 14 months after the application of rock ***,96 soil samples were collected for measuring the pH and available ions P,K^(+),Ca^(2+),Mg^(2+),S-SO_(4)^(2-),Si,Cu^(2+),Fe^(2+),Mn^(2+),and Zn^(2+)as well as spectral reading through a Vis-NIR-SWIR spectroradiometer to predict the soil chemical attributes through the partial least square regression(PLS)*** results showed that the elements K^(+),Ca^(2+),Mg^(2+),Cu^(2+),and Fe^(2+)could be predicted with a reasonable rightness degree(R^(2)_(p)0.50,RPDp1.40)from spectral ***,for the attributes pH,P,S-SO_(4)^(2-),Si,Mn^(2+),and Zn^(2+),there were no satisfactory models(R^(2)_(p)0.50,RPDp1.40).Thus,the application of rock powder changed the spectral curves and,because of that,allows the building of PLS models to predict the elements K^(+),Ca^(2+),Mg^(2+),Cu^(2+),and Fe^(2+).Therefore,Vis-NIR-SWIR spectroscopy is a promising alternative to the routine analyses of soil fertility since it has advantages such as fast analytical speed,low cost,easy to operate,non-destructive,and environmentally friendly,because it does not use harmful chemicals.