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Drone-borne radar for sugar cane precision agriculture

Grant number: 18/14690-2
Support Opportunities:Scholarships in Brazil - Master
Effective date (Start): February 01, 2019
Effective date (End): December 31, 2020
Field of knowledge:Interdisciplinary Subjects
Acordo de Cooperação: IBM Brasil
Principal Investigator:Hugo Enrique Hernández Figueroa
Grantee:Gian Carlos Oré Huacles
Host Institution: Faculdade de Engenharia Elétrica e de Computação (FEEC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Host Company:Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação (FEEC)
Associated research grant:17/19416-3 - Drone-borne radar for sugar cane precision agriculture, AP.PITE

Abstract

The goal of this project is to introduce the student to the polarimetric, interferometric and multi-band synthetic apertureradar, SAR, and also to its application in the precision agriculture. The student will be introduced to the electromagneticwave theory and its interaction with the vegetation, to the signal and image processing theory and to prediction filters.He will then be guided to develop a methodology for prediction of crop production using polarimetric, interferometric,multi-band SAR images.

News published in Agência FAPESP Newsletter about the scholarship:
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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)
MOREIRA, LAILA; LUBECK, DIETER; WIMMER, CHRISTIAN; CASTRO, FELICIO; GOES, JULIANA A.; CASTRO, VALQUIRIA; ALCANTARA, MARLON; ORE, GIAN; OLIVEIRA, LUCIANO P.; BINS, LEONARDO; et al. Drone-Borne P-band Single-Pass InSAR. 2020 IEEE RADAR CONFERENCE (RADARCONF20), v. N/A, p. 6-pg., . (18/14690-2, 18/00601-8, 18/12726-0)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
HUACLES, Gian Carlos Oré. Study of monitoring biometric parameters and prediction productivity in sugarcane using drone-borne synthetic aperture radar. 2020. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Elétrica e de Computação Campinas, SP.

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