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Year 2003 Remove constraint 2003: 2003 Subjects Triticum aestivum Remove constraint Triticum aestivum: Triticum aestivum Subjects spectral analysis Remove constraint spectral analysis: spectral analysis

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1. Automated detection of single wheat kernels containing live or dead insects using near-infrared reflectance spectroscopy

Description:: Includes references
Author:: Maghirang, E.B. , Dowell, F.E. , Baker, J.E. , Throne, J.E.
Subject:: Sitophilus oryzae , storage insects , insect pests , Triticum aestivum , wheat , seeds , near-infrared reflectance spectroscopy , spectral analysis
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003

2. Cellulose absorption index (CAI) to quantify mixed soil-plant litter scenes

Description:: Includes references
Author:: Nagler, P.L. , Inoue, Y. , Glenn, E.P. , Russ, A.L. , Daughtry, C.S.T.
Subject:: crop residues , Zea mays , corn , Glycine max , soybeans , Oryza sativa , rice , Triticum aestivum , wheat , forest litter , Cedrus deodara , Quercus serrata , cellulose , absorption , quantitative analysis , remote sensing , reflectance , spectral analysis , soil color , sandy clay loam soils , loam soils
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003

3. Examination of spectral pretreatments for partial least-squares calibration for chemical and physical properties of wheat

Description:: Includes references
Author:: Delwiche, Stephen R. , Graybosch, Robert A.
Subject:: wheat , physicochemical properties , near-infrared reflectance spectroscopy , least squares , computer software , Triticum aestivum , endosperm , milling quality , hard red winter wheat , hard white wheat , crude protein , wheat protein , calibration , spectral analysis
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003

4. Quantitative approaches for using color infrared photography for assessing in-season nitrogen status in winter wheat

Description:: Includes references
Author:: Flowers, M. , Weisz, R. , Heiniger, R.
Subject:: Triticum aestivum , winter wheat , varieties , growing season , nitrogen content , color , aerial photography , infrared photography , remote sensing , image analysis , spectral analysis , nitrogen fertilizers , fertilizer application , nutrient use efficiency , nutrient uptake , developmental stages , soil types , conventional tillage , no-tillage , planting date , row spacing , sowing , regression analysis , linear models , North Carolina
Collection:: Journal Articles, USDA Authors, Peer-Reviewed
Year:: 2003