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Agricultural Remote Sensing General Oral (includes student competition)
Oral Session
ASA Section: Climatology and Modeling
Remote sensing provides information for crop nutrient and status, irrigation, weed, and pest management at different scales from ground level to regional views. New satellites and unmanned aircraft are providing new capabilities for data collection. Contributions to this session present the latest research on extracting geospatial information from the data for crop management.
Approved for CM 6.0 CEUs
Airborne and Satellite Remote Sensing Community
Monday, October 23, 2017: 9:00 AM-4:25 PM
Tampa Convention Center, Room 5
Organizers:
Ana Wagner
and
Sanaz Shafian
9:20 AM
Improving Nitrogen Use in California Rice.
Telha Rehman, University of California-Davis;
Andre Reis, University of Sao Paulo;
Nadeem Akbar, University of Agriculture, Faisalabad, Pakistan;
Bruce Linquist, University of California-Davis
9:50 AM
High-Throughput Technologies for Alfalfa Germplasm Evaluation in the Field.
Alexandre-Brice Cazenave, Noble Research Institute, LLC;
Michael R Komp, Noble Research Institute, LLC;
Kushendra N Shah, Noble Research Institute, LLC;
Tresa A Trammell, Noble Research Institute, LLC;
Jeremy Joshua Pittman, Noble Research Institute, LLC;
Justin K. Hoffman, Noble Research Institute, LLC;
Christy M. Motes, Noble Research Institute, LLC;
Maria J. Monteros, Noble Research Institute, LLC
11:30 AM
Unmanned Aerial System (UAS)-Based Panicle Size Extraction for Grain Sorghum Yield Estimates.
Murilo Maeda, Texas A&M AgriLife Research;
Jinha Jung, Texas A&M University Corpus Christi;
Juan Landivar-Bowles, Texas A&M AgriLife Research;
Anjin Chang, Texas A&M University Corpus Christi;
Junho Yeom, Texas A&M University Corpus Christi;
William L. Rooney, Texas A&M University;
Nicholas Ace Pugh, Texas A&M University;
David W. Horne, Texas A&M University;
Geraldo Carvalho Jr., Texas A&M University - Soil & Crop Sciences
11:45 AM
Uashub: Online Research Collaboration Portal for UAS Data.
Jinha Jung, Texas A&M University Corpus Christi;
Anjin Chang, Texas A&M University Corpus Christi;
Junho Yeom, Texas A&M University Corpus Christi;
Juan Landivar-Bowles, Texas A&M AgriLife Research;
Murilo Maeda, Texas A&M AgriLife Research
2:15 PM
Tillage Detection with Sentinel-1 Radar Data.
Guillaume Chomé, Université catholique de Louvain;
Urs Schulthess, CIMMYT;
Kai Sonder, CIMMYT;
Mangi Lal Jat, CIMMYT;
Bruno Gerard, CIMMYT;
Pierre Defourny, Université catholique de Louvain
2:45 PM
Applying Random Forest Regression Algorithm in EVI Data for Soybean Yield Estimation.
Jonathan Richetti, University of Florida;
Kenneth J. Boote, University of Florida;
Willyan Ronaldo Becker, Western Parana State University;
Alex Paludo, Western Parana State University;
Laiza Cavalcante, Western Parana State University;
Jerry Adriani Johann, Western Parana State University;
Miguel Angel Uribe Opazo, Western Parana State University
3:40 PM
Monitoring Areas Under Potential Risk during Extreme Events Using the National Agricultural Statistics Service Decision Support System.
Noemi Guindin, USDA - United States Department of Agriculture;
Clyde W. Fraisse, University of Florida;
Ana Wagner, University of Florida;
Jose H Andreis, University of Florida;
Daniel Dantas Barreto, University of Florida;
Vinicius Andrei Cerbaro, University of Florida;
Eduardo Gelcer, University of Florida;
Doris Liu, University of Florida;
Daniel Perondi, University of Florida;
Enrique Pinedo, University of Florida;
Xiaozhen Shen, University of Florida;
Diego N. L. Pequeno, University of Florida;
Caroline G. Staub, University of Florida;
Oxana Uryasev, University of Florida
4:10 PM
Community Planning Session