319 On-Farm Research: Advancing Precision Ag Tools, Data Analysis and Extension implications (includes student competition)

Poster Session
ASA Section: Agronomic Production Systems
On-Farm research is essential for developing and refining new precision agriculture systems.  This session aims to showcase new methodologies or tools being developed or tested in partnership with growers for the next wave of advancements in precision farming.
Cosponsor(s):

Precision Agriculture Systems Community

Agroclimatology and Agronomic Modeling Community
Global Digital Soil Map Community
Model Applications in Field Research Community
Nutrient Management Professionals Community
Extension Education Community

Tuesday, November 8, 2016: 4:00 PM-6:00 PM
Phoenix Convention Center North, Exhibit Hall CDE

Organizers:
John Shanahan and Antonio Asebedo
Poster #319-712
Apparent Electrical Conductivity to Characterize Soil Water Content.
Alfonso de Lara, Colorado State University; Raj Khosla, Colorado State University; Louis Longchamps, Colorado State University
Poster Presentation
  • de Lara Alfonso_Poster.pdf (1.5 MB)
  • Poster #319-713
    Spatial Analysis of Fungal Diseases Risk for Strawberry in Florida Using Real-Time Mesoscale Analysis Gridded Dataset.
    Daniel Dantas Barreto, University of Florida; Clyde W. Fraisse, University of Florida; Eduardo Gelcer, University of Florida
    Poster #319-714
    In-Season Prediction of Forage Sorghum Yield Using Proximal Sensing.
    Aristotelis C. Tagarakis, Cornell University; Quirine M. Ketterings, Cornell University; Sarah E Lyons, Cornell University
    Poster #319-716
    Understanding Spatiotemporal Variability of Soil-Plant Relationships in a Heterogeneous Coastal Farmland in Northern Italy.
    Elia Scudiero, USDA-ARS; Francesco Morari, University of Padua; Todd H. Skaggs, USDA-ARS; Federica Braga, National Research Council; Pietro Teatini, University of Padua
    Poster Presentation
  • 101313_Scudiero_poster_landscape.pdf (1.9 MB)
  • Poster #319-717
    Farmers Business Network: Bringing the Power of Big Data to Agriculture.
    Matthew Meisner, University of California, Davis
    Poster #319-718
    Integrating Management Zones and Canopy Sensors to Improve Nitrogen Recommendation Algorithms.
    Joel D. Crowther, University of Nebraska - Lincoln; John Parrish, University of Nebraska - Lincoln; Richard B. Ferguson, University of Nebraska - Lincoln; Joe D. Luck, University of Nebraska - Lincoln; Keith L. Glewen, University of Nebraska - Lincoln; Tim M. Shaver, University of Nebraska - Lincoln; Dean Krull, University of Nebraska - Lincoln; Laura Thompson, University of Nebraska - Lincoln; Nathan D. Mueller, University of Nebraska - Lincoln; Brian Krienke, University of Nebraska - Lincoln; Taro Mieno, University of Nebraska - Lincoln; Troy Ingram, University of Nebraska - Lincoln
    Poster Presentation
  • Crowther_ASA.pdf (2.2 MB)
  • Poster #319-719
    Active Crop Canopy Sensors Effect on Nitrogen Use Efficiency and Yield.
    John Parrish, University of Nebraska - Lincoln; Joel D. Crowther, University of Nebraska - Lincoln; Richard B. Ferguson, University of Nebraska-Lincoln; Joe D. Luck, University of Nebraska - Lincoln; Tim M. Shaver, University of Nebraska - Lincoln; Keith L. Glewen, University of Nebraska - Lincoln; Brian Krienke, University of Nebraska - Lincoln; Laura Thompson, University of Nebraska - Lincoln; Nathan D. Mueller, University of Nebraska - Lincoln; Dean Krull, University of Nebraska - Lincoln; Taro Mieno, University of Nebraska - Lincoln; Troy Ingram, University of Nebraska - Lincoln
    Poster Presentation
  • Project SENSE Poster-Metric_Units-PRINT.pdf (1.7 MB)
  • Poster #319-720
    Poster #319-721
    Using Multiple Years of Historical Yield Data to Create Spatial Management Zones.
    John Hettinga, Purdue University; Robert L. Nielsen, Purdue University; James J. Camberato, Purdue University
    Poster #319-722
    Poster #319-723
    Spatial Relation of Apparent Soil Electrical Conductivity with Soil Properties and Crop Yields at Different Topographic Positions.
    Gurbir Singh, Southern Illinois University; Matthew Enger, Southern Illinois University; Karl Williard, Southern Illinois University; Jon Schoonover, Southern Illinois University
    Poster #319-724
    Relationship of Ground- and Aerial Images-Based Normalized Difference Vegetation Indices of Major Crops Grown in Louisiana.
    Daniel Forestieri, Louisiana State University AgCenter; Brenda Tubana, Louisiana State University AgCenter; Marilyn Marilyn, Louisiana State University AgCenter; Joseph Garrett, Louisiana State University AgCenter; Dennis S Burns, LSU AgCenter; Ralph Frazier, LSU AgCenter
    Poster #319-725
    The Potential of the Pre Sidedress Soil Nitrate Test and Variable Rate Application to Improve Nitrogen Utilization in Corn.
    Ryan Miller, University of Minnesota; Jeffrey A. Vetsch, University of Minnesota; Brad Carlson, University of Minnesota
    Poster Presentation
  • 2016 ASA VRNT Final.pdf (795.2 kB)
  • Poster #319-726
    Could Precision Irrigation Conserve Groundwater in the Humid, Sandy Aquifers of the Northern Great Lakes States?.
    Mallika Nocco, University of Wisconsin-Madison; Matthew D. Ruark, University of Wisconsin-Madison; Christopher Kucharik, University of Wisconsin-Madison
    Poster #319-727
    Mapping Intra-Field Variability of Soil Horizons Using Ground Penetrating Radar.
    Felipe Vargas, Agriculture and Agri-Food Canada; Athyna N. Cambouris, Agriculture & Agri-Food Canada; Karem Chokmani, INRS- ETE National Institute Research; Bernie Zebarth, Agriculture and Agri-Food Canada; Isabelle Perron, Agriculture & Agri-Food Canada; Asim Biswas, University of Guelph; Viacheslav Adamchuk, McGill University
    Poster Presentation
  • ASA2016_Vargas_VF.pdf (1.7 MB)