Relation of sugarcane failures dertermination methods (in loco and via drone) in funcion the of your productive caracteristcs

• Grant number: 20/03964-4
• Support Opportunities: Regular Research Grants
• Duration: November 01, 2020 - October 31, 2022
• Field of knowledge: Agronomical Sciences - Agronomy - Crop Science
• Principal Investigator: Rouverson Pereira da Silva
• Grantee: Rouverson Pereira da Silva
• Host Institution: Faculdade de Ciências Agrárias e Veterinárias (FCAV). Universidade Estadual Paulista (UNESP). Campus de Jaboticabal. Jaboticabal , SP, Brazil

Abstract

Sugarcane is a of the crop with the greatest potentiality productive in Brazil, cultivate in more difference regions of countries, among the problems that cause fall in productivity, the use of machinal heavy and your intense traffic provides increase of soil compaction, hindering the emergence of culture tillers, which considerably increase the damage due to these failures in the productive area. Interacting with new technologies in favor of the agricultural environment, is able to obtain determinations of crop failures with the cultivation of sugarcane, accounting and projecting under the cultivated area. Through the use of aerial images it is possible to make determinations of the failure present in the planting lines. Considering that, as the culture develops, the leaves tend to form a curvature, this reason can cause a possible overlap of the fault. Thus, the objective of the present work is to determine failures in the sugarcane planting line with the use of aerial images amid a relation with the measurement of the failure in loco and the productive characteristics of crop. The experiment will be implanted in Ipiranga Agroindustry production area, in the unit located in the municipality of Descalvado belonging to the state of São Paulo, and two areas will be adopted with the cultivation of sugarcane variety CTC 4. The experiment will be in random blocks, adhering to an arrangement with 5 blocks and 5 failure sizes, totaling 25 experimental plots. The biometric variables will be submitted to regression analysis and the efficiency of using aerial images to determine failures will be evaluated according to their applicability and utilization. (AU)

Scientific publications

(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)

DE OLIVEIRA, MATHEUS PEREIRA; CARDOSO, PAULO HENRIQUE; DE OLIVEIRA, ROMARIO PORTO; BARBOSA JR, MARCELO RODRIGUES; DA SILVA, ROUVERSON PEREIRA. Mapping Gaps in Sugarcane Fields Using UAV-RTK Platform. AGRICULTURE-BASEL, v. 13, n. 6, p. 11-pg., 2023-06-01. (20/03964-4)