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Results: 1-12 |
Results: 12
Assessment of heat-damaged wheat kernels using near-infrared spectroscopy
Authors: Wang, D Dowell, FE Chung, DS
Citation: D. Wang et al., Assessment of heat-damaged wheat kernels using near-infrared spectroscopy, CEREAL CHEM, 78(5), 2001, pp. 625-628
Transgenic avidin maize is resistant to storage insect pests
Authors: Kramer, KJ Morgan, TD Throne, JE Dowell, FE Bailey, M Howard, JA
Citation: Kj. Kramer et al., Transgenic avidin maize is resistant to storage insect pests, NAT BIOTECH, 18(6), 2000, pp. 670-674
Detection of parasitised fly puparia using near infrared spectroscopy
Authors: Dowell, FE Broce, AB Xie, F Throne, JE Baker, JE
Citation: Fe. Dowell et al., Detection of parasitised fly puparia using near infrared spectroscopy, J NEAR IN S, 8(4), 2000, pp. 259-265
Measuring fig quality using near-infrared spectroscopy
Authors: Burks, CS Dowell, FE Xie, F
Citation: Cs. Burks et al., Measuring fig quality using near-infrared spectroscopy, J STORED PR, 36(3), 2000, pp. 289-296
Differentiating vitreous and nonvitreous durum wheat kernels by using near-infrared spectroscopy
Authors: Dowell, FE
Citation: Fe. Dowell, Differentiating vitreous and nonvitreous durum wheat kernels by using near-infrared spectroscopy, CEREAL CHEM, 77(2), 2000, pp. 155-158
Detection of parasitized rice weevils in wheat kernels with near-infrared spectroscopy
Authors: Baker, JE Dowell, FE Throne, JE
Citation: Je. Baker et al., Detection of parasitized rice weevils in wheat kernels with near-infrared spectroscopy, BIOL CONTRO, 16(1), 1999, pp. 88-90
Identifying stored-grain insects using near-infrared spectroscopy
Authors: Dowell, FE Throne, JE Wang, D Baker, JE
Citation: Fe. Dowell et al., Identifying stored-grain insects using near-infrared spectroscopy, J ECON ENT, 92(1), 1999, pp. 165-169
Predicting scab, vomitoxin, and ergosterol in single wheat kernels using near-infrared spectroscopy
Authors: Dowell, FE Ram, MS Seitz, LM
Citation: Fe. Dowell et al., Predicting scab, vomitoxin, and ergosterol in single wheat kernels using near-infrared spectroscopy, CEREAL CHEM, 76(4), 1999, pp. 573-576
Predicting the number of dominant R alleles in single wheat kernels using visible and near-infrared reflectance spectra
Authors: Wang, D Dowell, FE Lacey, RE
Citation: D. Wang et al., Predicting the number of dominant R alleles in single wheat kernels using visible and near-infrared reflectance spectra, CEREAL CHEM, 76(1), 1999, pp. 6-8
Single wheat kernel color classification by using near-infrared reflectance spectra
Authors: Wang, D Dowell, FE Lacey, RE
Citation: D. Wang et al., Single wheat kernel color classification by using near-infrared reflectance spectra, CEREAL CHEM, 76(1), 1999, pp. 30-33
Single wheat kernel size effects on near-infrared reflectance spectra and color classification
Authors: Wang, D Dowell, FE Lacey, RE
Citation: D. Wang et al., Single wheat kernel size effects on near-infrared reflectance spectra and color classification, CEREAL CHEM, 76(1), 1999, pp. 34-37
Single wheat kernel color classification using neural networks
Authors: Wang, D Dowell, FE Lacey, RE
Citation: D. Wang et al., Single wheat kernel color classification using neural networks, T ASAE, 42(1), 1999, pp. 233-240
Risultati: 1-12 |