Canopy sensor placement for variable-rate nitrogen application in sugarcane fields

Autor(es)

Amaral, Lucas R. ^[1] ; Trevisan, Rodrigo G. ^[2] ; Molin, Jose P. ^[2]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Sch Agr Engn, Campinas, SP - Brazil

^[2] Univ Sao Paulo, Luiz de Queiroz Coll Agr, Dept Biosyst Engn, Precis Agr Lab, Piracicaba, SP - Brazil

• Tipo de documento: Artigo Científico
• Fonte: PRECISION AGRICULTURE; v. 19, n. 1, p. 147-160, FEB 2018.
• Citações Web of Science: 5

Resumo

Nitrogen (N) fertilization is challenging for sugarcane, and machine-based canopy sensors appear as an alternative to allow variable-rate N fertilization. Top or sidedressing N is applied in each crop row and crop spatial variability behavior must be understood to allow proper sensor placement and applicator configurations in order to optimize N fertilization. Thus, the goal of this study was to investigate sugarcane crop variability and N prescription error when working with various sensor placements and boom sections. The approaches involved post-processing N prescription maps and real-time application, varying the number of sensors used and calculating the N rate for the applicator boom sections. Sugarcane fields show high crop variability due to their semi-perennial cropping system, which causes unpredictability of sensor readings from adjacent rows, ideally suggesting one sensor for each row in order to obtain more detailed plant-vigor information. Moreover, the machine must be able to apply fertilizer for each individual row to allow the most reliable application of N rate, ensuring optimization of crop response to variable-rate N application. (AU)

• Processo FAPESP: 11/08882-7 - Gestão da adubação nitrogenada em taxas variáveis na cultura da cana-de-açúcar a partir de sensores óticos terrestres
• Beneficiário: Lucas Rios do Amaral
• Modalidade de apoio: Bolsas no Brasil - Doutorado
• Processo FAPESP: 09/03372-0 - Gestão da adubação nitrogenada em cana-de-açúcar utilizando sensor ótico ativo terrestre
• Beneficiário: Lucas Rios do Amaral
• Modalidade de apoio: Bolsas no Brasil - Mestrado