The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder
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 determinations. To solve these problems, a study was carried out to evaluate the use of visible, near-inf...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2024-03-01
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| Series: | Information Processing in Agriculture |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S221431732200066X |
| _version_ | 1797289719988486144 |
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| author | Marlon Rodrigues Josiane Carla Argenta Everson Cezar Glaucio Leboso Alemparte Abrantes dos Santos Önder Özal Amanda Silveira Reis Marcos Rafael Nanni |
| author_facet | Marlon Rodrigues Josiane Carla Argenta Everson Cezar Glaucio Leboso Alemparte Abrantes dos Santos Önder Özal Amanda Silveira Reis Marcos Rafael Nanni |
| author_sort | Marlon Rodrigues |
| collection | DOAJ |
| description | 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 determinations. To 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 powders. The study was carried out on an Arenosol in Paranavaí City/Brazil. Treatments (rock powders) were arranged within a split-plot system designed in randomized blocks with four repetitions. Sugarcane was cultivated for 14 months after the application of rock powders. Later, 96 soil samples were collected for measuring the pH and available ions P, K+, Ca2+, Mg2+, S-SO42-, Si, Cu2+, Fe2+, Mn2+, and Zn2+ as well as spectral reading through a Vis-NIR-SWIR spectroradiometer to predict the soil chemical attributes through the partial least square regression (PLS) technique. The results showed that the elements K+, Ca2+, Mg2+, Cu2+, and Fe2+ could be predicted with a reasonable rightness degree (R2p > 0.50, RPDp > 1.40) from spectral models. However, for the attributes pH, P, S-SO42-, Si, Mn2+, and Zn2+, there were no satisfactory models (R2p < 0.50, RPDp < 1.40). 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+, Ca2+, Mg2+, Cu2+, and Fe2+. 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. |
| first_indexed | 2024-03-07T19:09:03Z |
| format | Article |
| id | doaj.art-1fb1606970fc403899cd2eb1b0ca9461 |
| institution | Directory Open Access Journal |
| issn | 2214-3173 |
| language | English |
| last_indexed | 2024-03-07T19:09:03Z |
| publishDate | 2024-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Information Processing in Agriculture |
| spelling | doaj.art-1fb1606970fc403899cd2eb1b0ca94612024-03-01T05:06:16ZengElsevierInformation Processing in Agriculture2214-31732024-03-011112644The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powderMarlon Rodrigues0Josiane Carla Argenta1Everson Cezar2Glaucio Leboso Alemparte Abrantes dos Santos3Önder Özal4Amanda Silveira Reis5Marcos Rafael Nanni6Department of Agronomy, State University of Maringá, Colombo Avenue, Maringá 87020900, Brazil; Corresponding author at: GALeS laboratory, State University of Maringá, Colombo Avenue, 5790, 87020900 Maringá, Brazil.Department of Plant and Soil Sciences, Mississippi State University, MS 39762, USADepartment of Agronomy, State University of Maringá, Colombo Avenue, Maringá 87020900, BrazilDepartment of Agronomy, State University of Maringá, Colombo Avenue, Maringá 87020900, BrazilInternational Agricultural Research and Training Center, Izmir 35660, TurkeyDepartment of Agronomy, State University of Maringá, Colombo Avenue, Maringá 87020900, BrazilDepartment of Agronomy, State University of Maringá, Colombo Avenue, Maringá 87020900, BrazilSome 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 determinations. To 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 powders. The study was carried out on an Arenosol in Paranavaí City/Brazil. Treatments (rock powders) were arranged within a split-plot system designed in randomized blocks with four repetitions. Sugarcane was cultivated for 14 months after the application of rock powders. Later, 96 soil samples were collected for measuring the pH and available ions P, K+, Ca2+, Mg2+, S-SO42-, Si, Cu2+, Fe2+, Mn2+, and Zn2+ as well as spectral reading through a Vis-NIR-SWIR spectroradiometer to predict the soil chemical attributes through the partial least square regression (PLS) technique. The results showed that the elements K+, Ca2+, Mg2+, Cu2+, and Fe2+ could be predicted with a reasonable rightness degree (R2p > 0.50, RPDp > 1.40) from spectral models. However, for the attributes pH, P, S-SO42-, Si, Mn2+, and Zn2+, there were no satisfactory models (R2p < 0.50, RPDp < 1.40). 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+, Ca2+, Mg2+, Cu2+, and Fe2+. 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.http://www.sciencedirect.com/science/article/pii/S221431732200066XAlternative inputsAvailable IonsMultivariate analysisSoil Spectroscopy |
| spellingShingle | Marlon Rodrigues Josiane Carla Argenta Everson Cezar Glaucio Leboso Alemparte Abrantes dos Santos Önder Özal Amanda Silveira Reis Marcos Rafael Nanni The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder Information Processing in Agriculture Alternative inputs Available Ions Multivariate analysis Soil Spectroscopy |
| title | The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder |
| title_full | The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder |
| title_fullStr | The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder |
| title_full_unstemmed | The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder |
| title_short | The use of Vis-NIR-SWIR spectroscopy in the prediction of soil available ions after application of rock powder |
| title_sort | use of vis nir swir spectroscopy in the prediction of soil available ions after application of rock powder |
| topic | Alternative inputs Available Ions Multivariate analysis Soil Spectroscopy |
| url | http://www.sciencedirect.com/science/article/pii/S221431732200066X |
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