FR3.R7: Synergistic Use of Remote Sensing, IoT, and AI in Agriculture II
Fri, 21 Jul, 13:00 - 14:15 Pacific Time (UTC -7)
Location: Room G
Session Type: Oral
Session Co-Chairs: Pietro Mastro, Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council and Claudia Spinetti, Istituto Nazionale di Geofisica e Vulcanologia
Session Manager: Zhoobin Rahimi
Track: Community-Contributed Sessions
Fri, 21 Jul, 13:00 - 13:12 Pacific Time (UTC -7)

FR3.R7.2: USE OF SAR BASED REGRESSORS FOR LEAF AREA INDEX (LAI) SPATIAL/TEMPORAL FILLING: A MACHINE LEARNING (ML)-BASED OUTLOOK
Pietro Mastro, Mirco Boschetti, Margherita De Peppo, Antonio Pepe, Institute for Electromagnetic Sensing of the Environment (IREA), Italian National Research Council, Italy
Fri, 21 Jul, 13:12 - 13:24 Pacific Time (UTC -7)

FR3.R7.3: DEEP LEARNING MODEL FOR MINIMAL AREA DETECTION OF WEED PATCHES IN UAV IMAGERY
Vyomika Singh, Indian Institute of Technology Roorkee, Roorkee, India; Raghav Luthra, Jaypee University of Information Technology, India; Laxman Singh Khangarot, Dharmendra Singh, Indian Institute of Technology Roorkee, India
Fri, 21 Jul, 13:24 - 13:36 Pacific Time (UTC -7)

FR3.R7.4: IMPACT OF PERMUTED SPECTRAL NEIGHBORHOOD OF HIGH-DIMENSIONAL MSTS RS DATA ON CROP CLASSIFICATION PERFORMANCE WITH DNN MODELS
Gopal Singh Phartiyal, Laxman Singh Khangarot, Dharmendra Singh, Indian Institute of Technology Roorkee, India
Fri, 21 Jul, 13:36 - 13:51 Pacific Time (UTC -7)

FR3.R7.D: Discussion