Hyperspectral data use for prediction of leaf nitrogen content in sugarcane

• Grant number: 13/22435-9
• Support Opportunities: Program for Research on Bioenergy (BIOEN) - Regular Program Grants
• Duration: June 01, 2014 - May 31, 2016
• Field of knowledge: Agronomical Sciences - Agronomy
• Principal Investigator: Peterson Ricardo Fiorio
• Grantee: Peterson Ricardo Fiorio
• Host Institution: Escola Superior de Agricultura Luiz de Queiroz (ESALQ). Universidade de São Paulo (USP). Piracicaba , SP, Brazil
• Associated researchers: Christopher Michael Usher Neale ; José Alexandre Melo Demattê

Abstract

Nitrogen is an essential nutrient for crop production, interacting in a very complex system with environment, so its monitoring is therefore important, both economically as well as environmentally. In recent years, the use of remote sensing has expanded in agricultural sciences, providing a useful tool to monitor and manage such activities, including the nitrogen fertilizer administration on crops. In this sense, the present work aims to study the application of remote sensing techniques in monitoring nitrogen at the sugarcane culture, using a field hyperspectral sensor. Evaluations shall be performed at different crop stages development in experimental areas of São Paulo Agency for Agribusiness Technology, that studies effects of different nitrogen doses in some sugarcane varieties. Spectral readings will be held of leaf and canopy; leaves will be collected and sent to laboratory for leaf nitrogen content analysis. These data will be used to generate spectral models of multiple linear regression to predict the leaf nitrogen content, thus detecting the wavelengths that are more related to the plant nitrogen status. This study aims to show the results that may guide future applications of spectral data to monitoring sugarcane nitrogen fertilization, as new research and development of dedicated sensors for the culture. (AU)

Scientific publications

(10)

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

LUIS GUSTAVO NARCISO; JEFFERSON FERREIRA ALCINDO; FERNANDA BOVINO; JULIANE TERAMACHI TREVIZAN; DIELSON DA SILVA VIEIRA; BRENO FERNANDO MARTINS DE ALMEIDA; ANELISE MARIA BOSCO; FRANCISCO LEYDSON FORMIGA FEITOSA. Parâmetros hematológicos e bioquímicos de cabritos prematuros de cabras submetidas a diferentes protocolos de dexametasona. Ciência Rural, v. 52, n. 6, 2021-11-22. (13/22435-9)

PEDRO PAULO DA SILVA BARROS; PETERSON RICARDO FIORIO; JOSÉ ALEXANDRE DE MELO DEMATTÊ; JULIANO ARAÚJO MARTINS; ZAQUEU FERNANDO MONTEZANO; FÁBIO LUIS FERREIRA DIAS. Modelagem hiperespectral na quantificação de nitrogênio foliar em cana-de-açúcar. Ciência Rural, v. 52, n. 7, 2021-11-29. (13/22435-9, 08/56147-1)

TIAGO RODRIGUES TAVARES; PETERSON RICARDO FIORIO; HUGO TAMEIRÃO SEIXAS; AMPARO CISNEIROS GARCIA; PEDRO PAULO DA SILVA BARROS. Efeitos do armazenamento no espectro de reflectância vis-NIR-SWIR de amostras foliares de capim Mombaça. Ciência Rural, v. 50, n. 3, 2020-03-13. (13/22435-9)

CISNEROS, AMPARO; FIORIO, PETERSON; MENEZES, PATRICIA; PASQUALOTTO, NIEVES; VAN WITTENBERGHE, SHARI; BAYMA, GUSTAVO; NOGUEIRA, SANDRA FURLAN. Mapping Productivity and Essential Biophysical Parameters of Cultivated Tropical Grasslands from Sentinel-2 Imagery. AGRONOMY-BASEL, v. 10, n. 5, MAY 2020. (13/22435-9)

NARCISO, LUIS GUSTAVO; ALCINDO, JEFFERSON FERREIRA; BOVINO, FERNANDA; TREVIZAN, JULIANE TERAMACHI; VIEIRA, DIELSON DA SILVA; MARTINS DE ALMEIDA, BRENO FERNANDO; BOSCO, ANELISE MARIA; FORMIGA FEITOSA, FRANCISCO LEYDSON. ematological and biochemical parameters of premature kids of goats subjected to different dexamethasone protocol. Ciência Rural, v. 52, n. 6, 2022. (13/22435-9)

BARROS, PEDRO P. S.; SCHUTZE, INANA X.; IOST FILHO, FERNANDO H.; YAMAMOTO, PEDRO T.; FIORIO, PETERSON R.; DEMATTE, JOSE A. M.. Monitoring Bemisia tabaci (Gennadius) (Hemiptera: Aleyrodidae) Infestation in Soybean by Proximal Sensing. INSECTS, v. 12, n. 1, JAN 2021. (17/19407-4, 19/26145-1, 13/22435-9)

MARTINS, JULIANO ARAUJO; FIORIO, PETERSON RICARDO; DA SILVA BARROS, PEDRO PAULO; MELO DEMATTE, JOSE ALEXANDRE; MOLIN, JOSE PAULO; CANTARELLA, HEITOR; USHER NEALE, CHRISTOPHER MICHAEL. Potential use of hyperspectral data to monitor sugarcane nitrogen status. Acta Scientiarum. Agronomy, v. 43, 2021. (08/56147-1, 13/22435-9)

DA SILVA BARROS, PEDRO PAULO; FIORIO, PETERSON RICARDO; DE MELO DEMATTE, JOSE ALEXANDRE; MARTINS, JULIANO ARAUJO; MONTEZANO, ZAQUEU FERNANDO; FERREIRA DIAS, FABIO LUIS. stimation of leaf nitrogen levels in sugarcaneusing hyperspectral model. Ciência Rural, v. 52, n. 7, 2022. (13/22435-9, 08/56147-1)

NILSSON, MATHEUS S.; FIORIO, PETERSON R.; TAKUSHI, MITSUHIKO R. H.; OLIVEIRA, ANA K. DA S.; GARCIA, AMPARO C.. EFFECT OF DIFFERENT NITROGEN FERTILIZATION RATES ON THE SPECTRAL RESPONSE OF Brachiaria brizantha cv. MARANDu LEAVES. Engenharia Agrícola, v. 43, n. 3, p. 9-pg., 2023-01-01. (13/22435-9)

MARTINS, JULIANO ARAUJO; FIORIO, PETERSON RICARDO; DA SILVA BARROS, PEDRO PAULO; MELO DEMATTE, JOSE ALEXANDRE; MOLIN, JOSE PAULO; CANTARELLA, HEITOR; USHER NEALE, CHRISTOPHER MICHAEL. Potential use of hyperspectral data to monitor sugarcane nitrogen status. ACTA SCIENTIARUM-AGRONOMY, v. 43, p. 13-pg., 2021-01-01. (08/56147-1, 13/22435-9)