| Machine learning models for predicting water quality of treated fruit and vegetable wastewater G Mundi, RG Zytner, K Warriner, H Bonakdari, B Gharabaghi Water 13 (18), 2485, 2021 | 20 | 2021 |
| Fruit and vegetable wash-water characterization, treatment feasibility study and decision matrices GS Mundi, RG Zytner, K Warriner Canadian Journal of Civil Engineering 44 (11), 971–983, 2017 | 18 | 2017 |
| Effective Solid Removal Technologies for Wash-Water Treatment to Allow Water Reuse in the Fresh-Cut Fruit and Vegetable Industry GS Mundi, RG Zytner Journal of Agricultural Science and Technology, 396-407, 2015 | 11 | 2015 |
| Predicting fruit and vegetable processing wash-water quality GS Mundi, RG Zytner, K Warriner, B Gharabaghi Water Science and Technology, 2018 | 9 | 2018 |
| Assessment of Effective Solids Removal Technologies to Determine Potential for Vegetable Washwater Reuse G Mundi, R Zytner | 6 | 2014 |
| Machine Learning Models for Predicting Water Quality of Treated Fruit and Vegetable Wastewater BG Gurvinder Mundi, Richard G. Zytner, Keith Warriner, Hossein Bonakdari Water - MDPI 13 (18), 2021 | | 2021 |
| The Development of Models to Predict the Characterization and Treatment Feasibility for Fruit and Vegetable Wash-water G Mundi University of Guelph, 2018 | | 2018 |
| Fruit and vegetable wash-water characterization, treatment feasibility study and decision matrices - University of Guelph, School of Engineering and Department of Food Science GS Mundi, RG Zytner, K Warriner | | 2017 |
Keith WarrinerUniversity of Guelph在 uoguelph.ca 的电子邮件经过验证
Keith WarrinerUniversity of Guelph在 uoguelph.ca 的电子邮件经过验证