WE4.P3.3
UAV RGB and Multispectral Data for Grapevine Viral Disease Symptoms Classification
Fernando Portela, University of Trás-os-Montes e Alto Douro, Portugal; Claudio A. Paredes, Polytechnic Institute of Viana do Castelo, Portugal; Raul Morais, Joaquim J. Sousa, Luís Pádua, University of Trás-os-Montes e Alto Douro, Portugal
Session:
WE4.P3: Precision Farming Oral
Track:
Land Applications
Location:
Room P3
Presentation Time:
Wednesday, 6 August, 16:00 - 16:15
Presentation
Discussion
Resources
No resources available.
Session WE4.P3
WE4.P3.2: AUTOMATIC FINE CO-REGISTRATION OF UAS MULTISPECTRAL IMAGES: A CASE STUDY ON A VINEYARD IN TUSCANY, ITALY
Lapo Miccinesi, Andrea Cioncolini, Jingfeng Shan, Luciano Alparone, Valentino Degli Innocenti, Alessandra Beni, Lorenzo Pagnini, Massimiliano Pieraccini, University of Florence, Italy
WE4.P3.3: UAV RGB and Multispectral Data for Grapevine Viral Disease Symptoms Classification
Fernando Portela, University of Trás-os-Montes e Alto Douro, Portugal; Claudio A. Paredes, Polytechnic Institute of Viana do Castelo, Portugal; Raul Morais, Joaquim J. Sousa, Luís Pádua, University of Trás-os-Montes e Alto Douro, Portugal
WE4.P3.4: Detection of Grapevine Viral Symptoms Using UAV-based Point Cloud Data and Vegetation Indices
Fernando Portela, Pedro Marques, Leilson Gomes, Raul Morais, Joaquim J. Sousa, Luís Pádua, University of Trás-os-Montes e Alto Douro, Portugal
WE4.P3.5: LEVERAGING SATELLITE DATA FOR WATER USAGE INSIGHTS: A COMPARISON OF SEN-ET, EEFLUX, AND THE PRE-TRAINED U-NET MODEL SAR2ET USING UAV-DERIVED ET AS GROUND TRUTH
Zeynep Kuru, M. Rasit Cevikalp, Esra Erten, Nebiye Musaoğlu, Istanbul Technical University, Turkey
Resources
No resources available.