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Methodology to use UAVs in monitoring sugarcane for precision agriculture purposes

Grant number: 12/50048-7
Support type:Research Grants - Research Partnership for Technological Innovation - PITE
Duration: March 01, 2013 - March 31, 2015
Field of knowledge:Agronomical Sciences - Agricultural Engineering
Cooperation agreement: Odebrecht Agroindustrial
Principal researcher:Jansle Vieira Rocha
Grantee:Jansle Vieira Rocha
Home Institution: Faculdade de Engenharia Agrícola (FEAGRI). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Company: ETH Energia S/A
City: Campinas

Abstract

Precision Agriculture (PA) is a management system based on localized information and technology that uses one or more sources of information to minimize costs and/or maximize production while considering sustainability and environmental protection. This management system should be applied to the production of sugarcane, given the complexity of operations involved in agricultural production as well as the need for constant monitoring of the vegetative cycle. Among the available technologies remote sensing is the one that has the highest potential for use in AP. The development and availability of unmanned aerial vehicles (UAV) for low altitude enabled the acquisition of imagery with high spatial resolution without interference from cloud, besides the advantage of lower costs in relation to satellite imagery. The UAV has become an interesting alternative for collecting data and can generate information on the behavior of vegetation and its correlation with other parameters, essential for monitoring and management of the vegetative cycle and the agricultural operations. Despite its potential, this technology is still new in agriculture and need more research and methodological development to make these vehicles operational in large-scale. The aim of this project is to develop methodology for use of UAV associated with soil, climate and plant data to generate monthly bulletins monitoring of biomass aiming precision agriculture in sugarcane. (AU)

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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)
WACHHOLZ DE SOUZA, CARLOS HENRIQUE; CAMARGO LAMPARELLI, RUBENS AUGUSTO; ROCHA, JANSLE VIEIRA; GRAZIANO MAGALHAES, PAULO SERGIO. Mapping skips in sugarcane fields using object-based analysis of unmanned aerial vehicle (UAV) images. COMPUTERS AND ELECTRONICS IN AGRICULTURE, v. 143, p. 49-56, . (12/50048-7)
WACHHOLZ DE SOUZA, CARLOS HENRIQUE; CAMARGO LAMPARELLI, RUBENS AUGUSTO; ROCHA, JANSLE VIEIRA; GRAZIANO MAGALHAES, PAULO SERGIO. Height estimation of sugarcane using an unmanned aerial system (UAS) based on structure from motion (SfM) point clouds. International Journal of Remote Sensing, v. 38, n. 8-10, p. 2218-2230, . (12/50048-7)

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