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Session Detail

Session Title	FR3.R11: Digital Agriculture with Machine Learning and Remote Sensing II
Presentation Mode	Oral
Session Time	Friday, 02 August, 13:40 - 15:20
Location	Room 419
Session Chair	Dharmendra Singh, Indian Institute of Technology, Roorkee

FR3.R11.1: MAXIMUM MEMBERSHIP FRACTION BASED PURE PIXEL ASSESSMENT APPROACH FOR HYPERSPECTRAL DATA ANALYSIS USING DEEP LEARNING

S. N. Chaudhri; Indian Institute of Technology BHU (Banaras Hindu University)

N. S. Rajput; Indian Institute of Technology BHU (Banaras Hindu University)

K. P. Singh; Indian Institute of Technology BHU (Banaras Hindu University)

D. Singh; Indian Institute of Technology, Roorkee

FR3.R11.2: IMPROVED UTILIZATION OF POLSAR POLARIZATION SIGNATURES USING CONVOLUTIONAL-DEEP NEURAL NETS FOR LAND COVER CLASSIFICATION

Gopal Phartiyal; Indian Institute of Technology Roorkee

Dharmendra Singh; Indian Institute of Technology Roorkee

Nicolas Brodu; INRIA

Hussein Yahia; INRIA

FR3.R11.3: A STEP TOWARDS DIGITAL AGRICULTURE FOR DEVELOPMENT OF OBJECT BASED PHENOLOGY APPROACH TO CLASSIFY SUGARCANE AND PADDY CROPS USING MULTISENSOR DATA

Deepak Murugan; IIT Roorkee

Dharmendra Singh; IIT Roorkee

FR3.R11.4: DEVELOPMENT OF MACHINE LEARNING BASED APPROACH FOR COMPUTING OPTIMAL VEGETATION INDEX WITH THE USE OF SENTINEL-2 AND DRONE DATA

Ankush Agarwal; IIT Roorkee

Sandeep Kumar; IIT Roorkee

Dharmendra Singh; IIT Roorkee

FR3.R11.5: IN-SEASON PREDICTION OF CROP TYPES IN THE US GREAT PLAINS USING SEQUENCE BASED STOCHASTIC MODELS AND DEEP LEARNING

Subit Chakrabarti; Indigo Agriculture

Rob Braswell; Indigo Agriculture

Nick Malizia; Indigo Agriculture

Damien Sulla-Menashe; Indigo Agriculture

Tina Cormier; Indigo Agriculture

Mark Friedl; Boston University