FR2.R7.4

A META-FEATURE MODEL FOR EXPLOITING DIFFERENT REGRESSORS TO ESTIMATE SUGARCANE CROP YIELD

Luiz Antonio Falaguasta Barbosa, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, São Paulo State University (UNESP), Brazil
Session:
FR2.R7: Synergistic Use of Remote Sensing, IoT, and AI in Agriculture I Oral
Track:
Community-Contributed Sessions
Location:
Room G
Presentation Time:
Fri, 21 Jul, 10:51 - 11:03 Pacific Time (UTC -7)
Session Chair:
Nicola Genzano, School of Engineering, University of Basilicata
Session Manager:
Lanying Wang
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Session FR2.R7
FR2.R7.1: HOW CAN BE USED EARTH OBSERVATION DATA IN CONSERVATION AGRICULTURE MONITORING?
Michele Rinaldi, Sergio Ruggieri, Francescco Ciavarella, Angelo Pio De Santis, CREA, Italy; Davide Palmisano, Anna Balenzano, Francesco Mattia, Giuseppe Satalino, CNR, Italy
FR2.R7.2: ROBUST SATELLITE TECHNIQUES FOR MONITORING THE VINEYARDS OF BASILICATA (ITALY)
Nicola Genzano, Roberto Colonna, School of Engineering, University of Basilicata, Italy; Francesco Di Paola, Elisabetta Ricciardelli, Institute of Methodologies for Environmental Analysis, National Research Council, Italy; Valerio Tramutoli, School of Engineering, University of Basilicata, Italy
FR2.R7.3: FRACTION CROP COVER ESTIMATION AT EARLY STAGE WITH DRONE IMAGES
Laxman Singh Khangarot, Vyomika Singh, Gopal Singh Phartiyal, Kundan Rathore, Dharmendra Singh, Indian Institute of Technology Roorkee, India
FR2.R7.4: A META-FEATURE MODEL FOR EXPLOITING DIFFERENT REGRESSORS TO ESTIMATE SUGARCANE CROP YIELD
Luiz Antonio Falaguasta Barbosa, Daniel Carlos Guimarães Pedronette, Ivan Rizzo Guilherme, São Paulo State University (UNESP), Brazil
Resources
No resources available.