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Drone-borne radar for sugar cane precision agriculture

Grant number: 17/19416-3
Support type:Research Grants - Research Partnership for Technological Innovation - PITE
Duration: November 01, 2018 - December 31, 2020
Field of knowledge:Interdisciplinary Subjects
Cooperation agreement: IBM Brasil
Principal researcher:Hugo Enrique Hernández Figueroa
Grantee:Hugo Enrique Hernández Figueroa
Home Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Company: IBM Brasil - Indústria, Máquinas e Serviços Ltda
City: Campinas
Partner institutions: Ministério da Agricultura, Pecuária e Abastecimento (Brasil). Empresa Brasileira de Pesquisa Agropecuária (EMBRAPA). Embrapa Informática Agropecuária
Principal researchers:Barbara Janet Teruel Mederos
Associated scholarship(s):18/12726-0 - Drone-borne radar for sugar cane precision agriculture, BP.MS
18/14690-2 - Drone-borne radar for sugar cane precision agriculture, BP.MS

Abstract

Precision agriculture is a powerful tool for the increase and cost reduction of the sugar cane production. It represented 27% of the GDP in 2012 and the São Paulo State has the largest production in Brazil. This research project presents a precision agriculture strategy with a novel remote sensing methodology allowing the increase of sugar cane production in at least 30% and a reduction of the production costs in at least 20%. These improvement benchmarks are the success criteria. The approach is based on the use of a drone-borne survey system, DBSS, carrying optical cameras and also a polarimetric, interferometric and multi-band imaging radar. The DBSS can deliver maps of soil moisture and sugar cane classification and biomass additionally to the optical and radar images in a faster, cheaper and better way than the state of the art satellite, aircraft and drone-borne systems available in the market. Software tools will be developed for generating maps of weed, of growth deficit and of production prediction of the sugar cane plantation from the DBSS data. The sugar cane plantation manager will be trained to carry out the corresponding immediate actions. An extensive evaluation of the methodology will be carried out by comparing the DBSS results with the ground true data sets from the field work. Deliverables are the software for generating the set of maps and the precision agriculture procedure for the sugar cane plantation manager. Moreover, all the documentation about the project including the DBSS, the field work and evaluation data will be available as open source codes and open data sets. Two University of Campinas' units: the School of Electrical and Computer Engineering (project leader) and the School of Agricultural Engineering, together with T-Jump Tecnologia Ltda., a small size enterprise and developer of the just launched DBSS, which will carry out the survey and data delivery at no cost. The proposed methodology delivers additional information to the sugar cane production manager and may be complemented by several other information sources. It is understood the global management of the farm or production site is a potential market for IBM, as a supplier of turn-key software solutions. Moreover, the agriculture economy is continuously growing and needing more complex and extensive software packages for overall management. The research topic has the potential of a large scientific impact for being multi-disciplinary, covering the areas of automation, remote sensing, signal and image processing, pattern-recognition, electromagnetic waves interaction with the vegetation and soil, agriculture engineering, geology and production engineering. A wide dissemination and use of the intellectual property is supported, as this work and developed software will be available as an open source. Two master students will be fully engaged. Our results have the potential to be published in highly reputed journals in the fields of electronics and aerospace engineering, electromagnetic waves, remote sensing, agronomy and geology. (AU)

Articles published in Agência FAPESP Newsletter about the research grant:
FAPESP e IBM apoiam projetos de agricultura digital 
Unicamp assinou 75 novos contratos de P&D com a indústria em 2018 
Radar embarcado em drone monitora o crescimento da cana-de-açúcar 
Radares embutidos en drones monitorean el crecimiento de los cañamelares 
Drone-borne radar monitors sugarcane growth 
Articles published in Pesquisa para Inovação FAPESP about research grant:
Drone-borne radar monitors sugarcane growth 
Articles published in other media outlets (21 total):
More itemsLess items
A Lavoura online: Drone equipado com radar monitora crescimento da cana-de-açúcar (15/Jun/2021)
Saense: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (09/Jun/2021)
Notícias Agrícolas: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (08/Jun/2021)
Consecti - Conselho Nacional de Secretários Estaduais para Assuntos de CT&I: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (08/Jun/2021)
Agro Advisor: Drone com radar monitora crescimento da cana-de-açúcar (03/Jun/2021)
Portal do Agronegócio: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (02/Jun/2021)
Portal Canaonline: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (31/May/2021)
MSN (Portugal): Drone com radar é usado para monitorar plantações (31/May/2021)
Ag|Evolution - Hub Agrodigital: Drone usa radar miniatura para definir colheita da cana em SP (31/May/2021)
Plantão News (MT): Radar embarcado em drone monitora o crescimento da cana-de-açúcar (30/May/2021)
Aparecidanet: Radar montado em drone monitora o crescimento da cana-de-açúcar (29/May/2021)
Revista Cenarium online: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (29/May/2021)
Jornal da Cidade (Bauru, SP) online: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (28/May/2021)
Jornal da Unicamp online: Radar embarcado com drone monitora o crescimento da cana-de-açúcar (28/May/2021)
IDEA : Radar embarcado em drone monitora o crescimento da cana-de-açúcar (28/May/2021)
Agrosoft: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (28/May/2021)
UDOP - União dos Produtores de Bioenergia: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (28/May/2021)
Brasilagro: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (28/May/2021)
Quimiweb: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (28/May/2021)
Tecno Insider: Radar embarcado em drone monitora o crescimento da cana-de-açúcar (28/May/2021)
CGC Educação: Radar embarcado com drone monitora o crescimento da cana-de-açúcar - CGC (28/May/2021)

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)
LUEBECK, DIETER; WIMMER, CHRISTIAN; MOREIRA, LAILA F.; ALCANTARA, MARLON; ORE, GIAN; GOES, JULIANA A.; OLIVEIRA, LUCIANO P.; TERUEL, BARBARA; BINS, LEONARDO S.; GABRIELLI, LUCAS H.; HERNANDEZ-FIGUEROA, HUGO E. Drone-Borne Differential SAR Interferometry. REMOTE SENSING, v. 12, n. 5 MAR 2020. Web of Science Citations: 1.
ORE, GIAN; ALCANTARA, MARLON S.; GOES, JULIANA A.; OLIVEIRA, LUCIANO P.; YEPES, JHONNATAN; TERUEL, BARBARA; CASTRO, VALQUIRIA; BINS, LEONARDO S.; CASTRO, FELICIO; LUEBECK, DIETER; MOREIRA, LAILA F.; GABRIELLI, LUCAS H.; HERNANDEZ-FIGUEROA, HUGO E. Crop Growth Monitoring with Drone-Borne DInSAR. REMOTE SENSING, v. 12, n. 4 FEB 2020. Web of Science Citations: 0.

Please report errors in scientific publications list by writing to: cdi@fapesp.br.