International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR2.MM-26.4

WEED IDENTIFICATION USING K-MEANS CLUSTERING WITH COLOR SPACES FEATURES IN MULTI-SPECTRAL IMAGES TAKEN BY UAV

Rashi Agarwal, UIET, Chhatrapati Shahu Ji Maharaj University, India; Hariharan S Nair, University of Madras, India; Nagabhushana Rao, Vidya Jyothi Institute of Technology, India; Abhishek Agarwal, IIIT Bhubaneshwar, India

Session:
Precision Agriculture I

Track:
Land Applications

Presentation Time:
Fri, 16 Jul, 11:15-11:20 (UTC)
Fri, 16 Jul, 13:15-13:20 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 19:15-19:20 China Standard Time (UTC +8)
Fri, 16 Jul, 07:15-07:20 Eastern Daylight Time (UTC -4)

Session Co-Chairs:
Leila Maria Garcia Fonseca, National Institute for Space Research (INPE) and Katarzyna DABROWSKA-ZIELINSKA, kierownik Centrum Teledetekcji IGiK
Session Manager:
Stella Gachoki
Presentation
Discussion
Resources
Session FR2.MM-26
FR2.MM-26.1: VIRTUAL ENVIRONMENTS & PRECISION VITICULTURE: A CASE STUDY
João Lourenço, João Teixeira, Paulo Carvalho, Luís Pádua, Telmo Adão, Emanuel Peres, Joaquim J. Sousa, Universidade de Trás-os-Montes e Alto Douro, Portugal
FR2.MM-26.2: THE ADDED VALUE OF CYCLE-GAN FOR AGRICULTURE STUDIES
Ecre Sener, Istanbul Technical University, Turkey; Emre Colak, Chemnitz University of Technology, Germany; Esra Erten, Gülşen Taşkın, Istanbul Technical University, Turkey
FR2.MM-26.3: DETECTION OF AGRICULTURAL ACTIVITY IN CENTER PIVOT AREAS IN SOUTHEASTERN BRAZIL
Felipe Rafael de Sá Menezes Lucena, Aline Casassola, Thales Sehn Körting, Leila Maria Garcia Fonseca, Hermann Johann Heinrich Kux, National Institute for Space Research (INPE), Brazil
FR2.MM-26.4: WEED IDENTIFICATION USING K-MEANS CLUSTERING WITH COLOR SPACES FEATURES IN MULTI-SPECTRAL IMAGES TAKEN BY UAV
Rashi Agarwal, UIET, Chhatrapati Shahu Ji Maharaj University, India; Hariharan S Nair, University of Madras, India; Nagabhushana Rao, Vidya Jyothi Institute of Technology, India; Abhishek Agarwal, IIIT Bhubaneshwar, India
FR2.MM-26.5: USE OF HYPERSPECTRAL PRISMA LEVEL-1 DATA AND ISDA SOIL FERTILITY MAP FOR SOIL MACRONUTRIENT AVAILABILITY QUANTIFICATION IN A MOROCCAN AGRICULTURAL LAND
Khalil Misbah, Ahmed Laamrani, Mohammed VI Polytechnic University, Morocco; Abdelghani Chehbouni, Université de Toulouse, France; Driss Dhiba, Mohammed VI Polytechnic University, Morocco; Jamal Ezzahar, Université Cadi Ayyad, Morocco
FR2.MM-26.6: GRAPEVINE VARIETY IDENTIFICATION THROUGH GRAPEVINE LEAF IMAGES ACQUIRED IN NATURAL ENVIRONMENT
Gabriel Carneiro, Luís Pádua, University of Trás-os-Montes e Alto Douro, Portugal; Joaquim J. Sousa, Universidade de Trás-os-Montes e Alto Douro, Portugal; Emanuel Peres, Raul Morais, António Cunha, University of Trás-os-Montes e Alto Douro, Portugal
FR2.MM-26.7: INVESTIGATING THE PERFORMANCE OF HYPERSPECTRAL AND SIMULATED SENTINEL-2 DATA FOR SOYBEAN CANOPY NITROGEN ESTIMATION
Jayantrao Mohite, Suryakant Sawant, Ankur Pandit, Ajay Mittal, Srinivasu Pappula, Tata Consultancy Services, India
FR2.MM-26.8: Assessment of water-demand index using the SMAP-Sentinel High-Resolution Soil Moisture Product
Gurjeet Singh, NASA Jet Propulsion Laboratory, California Institute of Technology, United States; Narendra Das, Michigan State University, United States