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Subjects Triticum aestivum Remove constraint Triticum aestivum: Triticum aestivum Subjects grain yield Remove constraint grain yield: grain yield Subjects remote sensing Remove constraint remote sensing: remote sensing

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1. A remote sensing model for the prediction of wheat yields prior to harvest

Description:: Includes references
Author:: Idso, S.B. , Pinter, P.J. Jr. , Hatfield, J.L. , Jackson, R.D. , Reginato, R.J.
Subject:: Triticum aestivum , crop models , cultivars , grain yield , harvesting , plant growth , prediction , reflectance , remote sensing , temperature , wheat
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 1979

2. A spectral index to monitor the head-emergence of wheat in semi-arid conditions

Description:: Includes references
Author:: Pimstein, Agustin , Eitel, Jan U.H. , Long, Dan S. , Mufradi, Israel , Karnieli, Arnon , Bonfil, David J.
Subject:: Triticum aestivum , wheat , semiarid zones , heading , spectral analysis , decision making , harvesting , forage grasses , grain yield , crop yield , remote sensing , plant nutrition , nutritional status , inflorescences , model validation , multispectral imagery , Israel , United States
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2009

3. Assimilating Leaf Area Index Estimates from Remote Sensing into the Simulations of a Cropping Systems Model

Description:: Includes references
Author:: Thorp, Kelly R. , Hunsaker, Douglas J. , French, Andrew N.
Subject:: crop models , Triticum aestivum , wheat , remote sensing , leaf area index , plant growth , plant development , evapotranspiration , data analysis , grain yield , dry matter accumulation , canopy , Arizona
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2010

4. The Agricultural Research Service's Remote Sensing Program: An Example of Interagency Collaboration

Description:: Includes references
Author:: Pinter, Paul J. Jr. , Ritchie, Jerry C. , Hatfield, Jerry L. , Hart, Galen F.
Subject:: Agricultural Research Service , Triticum aestivum , agricultural research , agricultural resources , crops , grain yield , image analysis , international cooperation , remote sensing , research projects , researchers , scientists , surveys , wheat , China
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003

5. Utilizing Existing Sensor Technology to Predict Spring Wheat Grain Nitrogen Concentration

Description:: Includes references
Author:: Qualm, A.M. , Osborne, S.L. , Gelderman, R.
Subject:: Triticum aestivum , spring wheat , grains , nitrogen , chemical constituents of plants , chemical concentration , fertilizer rates , fertilizer application , grain yield , prediction , remote sensing , precision agriculture , foliar application , optical equipment , sensors , developmental stages , Great Plains region , South Dakota
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2010