Comparison of multiple linear and nonlinear regression, autoregressive integrated moving average, artificial neural network, and wavelet artificial neural network methods for … J Adamowski, H Fung Chan, SO Prasher, B Ozga‐Zielinski, A Sliusarieva Water resources research 48 (1), 2012 | 559 | 2012 |
Thermal processing effects on the functional properties and microstructure of lentil, chickpea, and pea flours Z Ma, JI Boye, BK Simpson, SO Prasher, D Monpetit, L Malcolmson Food Research International 44 (8), 2534-2544, 2011 | 412 | 2011 |
Three‐dimensional quantification of macropore networks in undisturbed soil cores J Perret, SO Prasher, A Kantzas, C Langford Soil Science Society of America Journal 63 (6), 1530-1543, 1999 | 347 | 1999 |
Pork quality and marbling level assessment using a hyperspectral imaging system J Qiao, MO Ngadi, N Wang, C Gariépy, SO Prasher Journal of Food Engineering 83 (1), 10-16, 2007 | 307 | 2007 |
Artificial neural networks to predict corn yield from Compact Airborne Spectrographic Imager data Y Uno, SO Prasher, R Lacroix, PK Goel, Y Karimi, A Viau, RM Patel Computers and electronics in agriculture 47 (2), 149-161, 2005 | 307 | 2005 |
Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn PK Goel, SO Prasher, RM Patel, JA Landry, RB Bonnell, AA Viau Computers and Electronics in Agriculture 39 (2), 67-93, 2003 | 293 | 2003 |
Evaluating three hydrological distributed watershed models: MIKE-SHE, APEX, SWAT G Golmohammadi, S Prasher, A Madani, R Rudra Hydrology 1 (1), 20-39, 2014 | 260 | 2014 |
Removal of selected metal ions from aqueous solutions using chitosan flakes R BASSI, SO PRASHER, BK Simpson Separation Science and Technology 35 (4), 547-560, 2000 | 256 | 2000 |
Application of support vector machine technology for weed and nitrogen stress detection in corn Y Karimi, SO Prasher, RM Patel, SH Kim Computers and electronics in agriculture 51 (1-2), 99-109, 2006 | 240 | 2006 |
Prediction of drip-loss, pH, and color for pork using a hyperspectral imaging technique J Qiao, N Wang, MO Ngadi, A Gunenc, M Monroy, C Gariepy, SO Prasher Meat science 76 (1), 1-8, 2007 | 222 | 2007 |
The effect of composting on the degradation of a veterinary pharmaceutical J Ramaswamy, SO Prasher, RM Patel, SA Hussain, SF Barrington Bioresource technology 101 (7), 2294-2299, 2010 | 211 | 2010 |
Using causal loop diagrams for the initialization of stakeholder engagement in soil salinity management in agricultural watersheds in developing countries: A case study in the … A Inam, J Adamowski, J Halbe, S Prasher Journal of environmental management 152, 251-267, 2015 | 208 | 2015 |
Potential of airborne hyperspectral remote sensing to detect nitrogen deficiency and weed infestation in corn PK Goel, SO Prasher, JA Landry, RM Patel, RB Bonnell, AA Viau, ... Computers and electronics in agriculture 38 (2), 99-124, 2003 | 196 | 2003 |
Application of decision tree technology for image classification using remote sensing data CC Yang, SO Prasher, P Enright, C Madramootoo, M Burgess, PK Goel, ... Agricultural Systems 76 (3), 1101-1117, 2003 | 185 | 2003 |
Evaluation of pedotransfer functions in predicting the soil water contents at field capacity and wilting point J Givi, SO Prasher, RM Patel Agricultural water management 70 (2), 83-96, 2004 | 176 | 2004 |
Measuring performance in precision agriculture: CART—A decision tree approach T Waheed, RB Bonnell, SO Prasher, E Paulet Agricultural water management 84 (1-2), 173-185, 2006 | 175 | 2006 |
Comparison of multivariate adaptive regression splines with coupled wavelet transform artificial neural networks for runoff forecasting in Himalayan micro-watersheds with … J Adamowski, HF Chan, SO Prasher, VN Sharda Journal of hydroinformatics 14 (3), 731-744, 2012 | 171 | 2012 |
Application of artificial neural networks in image recognition and classification of crop and weeds CC Yang, SO Prasher, JA Landry, A DiTommaso Canadian agricultural engineering 42 (3), 147-152, 2000 | 166 | 2000 |
Comparative study of the composition and thermal properties of protein isolates prepared from nine Phaseolus vulgaris legume varieties X Rui, JI Boye, S Ribereau, BK Simpson, SO Prasher Food Research International 44 (8), 2497-2504, 2011 | 154 | 2011 |
Estimation of crop biophysical parameters through airborne and field hyperspectral remote sensing PK Goel, SO Prasher, JA Landry, RM Patel, AA Viau, JR Miller Transactions of the ASAE 46 (4), 1235, 2003 | 148 | 2003 |