Technical Program

Paper Detail

Paper Title In-Season Prediction of Crop Types in the US Great Plains using Sequence based Stochastic Models and Deep Learning
Paper IdentifierFR3.R11.5
Authors Subit Chakrabarti, Rob Braswell, Nick Malizia, Damien Sulla-Menashe, Tina Cormier, Indigo Agriculture, United States; Mark Friedl, Boston University, United States
Session Digital Agriculture with Machine Learning and Remote Sensing II
Location Room 419
Session Time Friday, 02 August, 15:00 - 15:20
Presentation Time Friday, 02 August, 15:00 - 15:20
Presentation Mode Oral
Topic Invited Sessions: Digital Agriculture with Machine Learning and Remote Sensing