Management system to optimize the use of water and energy in agricultural producti...
Methodology to use UAVs in monitoring sugarcane for precision agriculture purposes
SUGARCANE PRODUCTIVITY PREDICTION FROM SAR IMAGES IN HIGH SPATIAL RESOLUTION
Grant number: | 18/14690-2 |
Support Opportunities: | Scholarships in Brazil - Master |
Start date: | February 01, 2019 |
End date: | December 31, 2020 |
Field of knowledge: | Interdisciplinary Subjects |
Agreement: | 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 |
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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