127 Agricultural Remote Sensing: II

Poster Session
ASA Section: Climatology & Modeling
Remote sensing provides information for crop nutrient, 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.

Airborne and Satellite Remote Sensing Community

Climatology & Modeling

Precision Agriculture Systems Community
Agroclimatology and Agronomic Modeling Community
Sensor-Based Nutrient Management Community
Sensor-Based Water Management Community

Monday, November 16, 2015: 4:00 PM-6:00 PM
Minneapolis Convention Center, Exhibit Hall BC

E. Raymond Hunt Jr.
John J. Sulik
Poster #319
A Site-Specific Strawberry Disease Monitoring Using Wireless Sensor Network.
Thiago Borba Onofre, University of Florida; Vinicius Andrei Cerbaro, University of Florida; Natalia Peres, University of Florida; Lincoln Zotarelli, University of Florida; Clyde W. Fraisse, University of Florida
Poster Presentation
  • Poster_Thiago ASA Meeting.pdf (791.9 kB)
  • Poster #320
    Efficient Spectra Collection with Tractor Mounted Spectrometer.
    Steve K. Vosberg, University of Wisconsin-Madison; Shawn P. Conley, University of Wisconsin-Madison
    Poster #321
    Early Observations of Using UAS Images to Evaluate Durum and Spring Wheat Responses to N Fertilization in the Northern Great Plains.
    Joao Flores, North Dakota State University; Szilvia Zilahi-Sebess, North Dakota State University; Jasper M Teboh, North Dakota State University; Michael Ostlie, NDSU Carrington Research Extension Center
    Poster #322
    Hyperspectral Canopy Reflectance As a Predictor for Root Concentrations of Nitrogen and Carbon in Native and Non-Native Grass Species.
    Trey Scott, Redlands Community College; Brekke Peterson, USDA-ARS Grazinglands Research Laboratory; Patrick Starks, USDA-ARS
    Poster #323
    Optical and Thermal IR Sensing of Crop Condition Using Multiple View Angles.
    Robert Ford Denison, University of Minnesota; Gregg A. Johnson, University of Minnesota; Forrest Izuno, University of Minnesota
    Poster #324
    Assessing Filtering and Smoothing of Active Sensor Data for the Management of N Applications in Corn.
    Andrew L. Russ, USDA-ARS; Craig S. T. Daughtry, USDA-ARS; Timothy Gish, USDA-ARS; John J. Meisinger, USDA-ARS
    Poster #325
    A Semi-Automated Approach for Mapping Brassica Oilseeds.
    John J. Sulik, MicaSense, Inc.; Daniel S. Long, USDA-ARS