Potential use of hyperspectral data to monitor sugarcane nitrogen status
| Autor: | Pedro Paulo Barros, Christopher M. U. Neale, José Paulo Molin, Juliano Araujo Martins, Heitor Cantarella, Peterson Ricardo Fiorio, José Alexandre Melo Demattê |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Agriculture (General)
0211 other engineering and technologies chemistry.chemical_element 02 engineering and technology sensors crop management regression models S1-972 Crop 021101 geological & geomatics engineering Nitrogen management Hyperspectral imaging Manejo e Tratos Culturais 04 agricultural and veterinary sciences Spectral bands Nitrogen Agronomy chemistry Soil water 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Multiple linear regression analysis Agronomy and Crop Science |
| Zdroj: | Acta Scientiarum: Agronomy, Vol 43, Pp e47632-e47632 (2020) Acta Scientiarum. Agronomy, Volume: 43, Article number: e47632, Published: 20 NOV 2020 Acta Scientiarum. Agronomy; Vol 43 (2021): Publicação contínua; e47632 Acta Scientiarum. Agronomy; v. 43 (2021): Publicação contínua; e47632 Acta Scientiarum. Agronomy Universidade Estadual de Maringá (UEM) instacron:UEM |
| ISSN: | 1807-8621 1679-9275 |
| DOI: | 10.4025/actasciagron.v43i1.47632 |
| Popis: | Nitrogen management in crops is a key activity for agricultural production. Methods that can determine the levels of this element in plants in a quick and non-invasive way are extremely important for improving production systems. Within several fronts of study on this subject, proximal and remote sensing methods are promising techniques. In this regard, this research sought to demonstrate the relationships between variations in leaf nitrogen content (LNC) and sugarcane spectral behaviour. The work was carried out in three experimental areas in São Paulo State, Brazil, with different soils, varieties and nitrogen rates during the 2012/13 and 2013/14 seasons. A significant correlation was observed between the LNC and variations in the sugarcane spectra. The green and red-edge spectral bands were the most consistent and stable predictors of LNC among the evaluated harvests. Stepwise multiple linear regression analysis (MSLR) generated better models for LNC estimation when calibrated with experimental area, independent of the variety. The present research demonstrates that specific wavelengths are associated with the variation in LNC in sugarcane, and these are reported in the green region (near 550 nm) and in the red-edge wavelengths (680 to 720 nm). These results may help in future research on the direct in situ application of nitrogen fertilizers. Nitrogen management in crops is a key activity for agricultural production. Methods that can determine the levels of this element in plants in a quick and non-invasive way are extremely important for improving production systems. Within several fronts of study on this subject, proximal and remote sensing methods are promising techniques. In this regard, this research sought to demonstrate the relationships between variations in leaf nitrogen content (LNC) and sugarcane spectral behaviour. The work was carried out in three experimental areas in São Paulo State, Brazil, with different soils, varieties and nitrogen rates during the 2012/13 and 2013/14 seasons. A significant correlation was observed between the LNC and variations in the sugarcane spectra. The green and red-edge spectral bands were the most consistent and stable predictors of LNC among the evaluated harvests. Stepwise multiple linear regression analysis (MSLR) generated better models for LNC estimation when calibrated with experimental area, independent of the variety. The present research demonstrates that specific wavelengths are associated with the variation in LNC in sugarcane, and these are reported in the green region (near 550 nm) and in the red-edge wavelengths (680 to 720 nm). These results may help in future research on the direct in situ application of nitrogen fertilizers. |
| Databáze: | OpenAIRE |
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