Advanced Post-harvest Technology Centre

July 29, 2021

Alberta colleges and polytechnics create Agriculture and Food Research Collaborative

July 27, 2021

Lethbridge College receives over $1.3 million in federal research funding

June 3, 2021

Lethbridge College launches Bachelor of Agriculture Science program

June 1, 2021

New Lethbridge College research project to develop improved grain drying strategies

May 20, 2021

Sugar beet research receives Alberta Innovates funds

April 28, 2021

Lethbridge College, Olds College sign agriculture research MOU

December 15, 2020

Lethbridge College named one of Canada’s fastest-growing research colleges

October 15, 2020

Alberta Agriculture and Forestry helps grow research at Lethbridge College

May 20, 2020

Lethbridge College receives federal funding to create Technology Access Centre

Advanced Post-harvest Innovation program

Dr. Chandra Singh joined the college’s Centre for Applied Research, Innovation and Entrepreneurship (CARIE) as its first applied research chair in Agricultural Engineering and Technology in the summer of 2019. Dr. Singh’s work will include the creation of an Advanced Postharvest Innovation program. The program will be dedicated to building partnerships with the agriculture industry and researching new ways to handle and store crops after harvest in order to minimize post-harvest losses.

1. Developing on-farm grain drying strategies for optimum quality and energy efficiency
   Funding Partners: Alberta Wheat Commission (AWC), Results Driven Agricultural Research (RDAR), Alberta Innovates (AI), Canadian Agricultural Partnership (CAP, and Saskatchewan Wheat Development Commission (SWDC)
    
2. Development of wireless monitoring and automated aeration control system for storing sugar beets in outdoor piles
   Funding Partners: Alberta Innovates, OPIsystems Inc., Lantic Inc. (Rogers Sugar), Alberta Sugar Beet Growers
    
3. Regional potato variety trials in Alberta
   Funding Partners: Canadian Horticulture Council (CHC), Agriculture and Agri-Food Canada (AAFC), Little Potato Company, Alberta Potato Industry
    
4. Developing artificial intelligence (AI) based grain management system for long term safe storage
   Funding Partners: OPIsystems Inc. and Protein Industries Canada (PIC)
    
5. Quality inspection of agri-food products using near-infrared (NIR) hyperspectral imaging
   Funding Partner: NSERC (Applied Research Tools and Instruments (ARTI) Grants).
    
6. Smart in‐bin grain storage and management system for optimum quality
   Funding Partner: Alberta Innovates 
    
7. Storage and handling of damaged potato crops (Lead by AAFC Lethbridge in collaboration with Lethbridge College and University of Lethbridge)
   Funder: Results Driven Agricultural Research (RDAR)

Publications

1. Panigrahi, S.S., C.B. Singh, and J. Fielke. 2020. CFD modelling of physical velocity and anisotropic resistance components in a peaked stored grain with aeration ducting systems. Computer and Electronics in Agriculture (https://doi.org/10.1016/j.compag.2020.105820).
2. Nourmohamadi-Moghadami, A., D. Zare, D, C.B. Singh, and R.L. Stroshine. 2020. Filling of a grain silo. Part 1: investigation of fine material distribution in a small scale centre-filled silo. Biosystems Engineering 191: 145-156.
3. Chandrasekaran, I., S.S. Panigrahi, L. Ravikanth, and C.B. Singh. 2019. Potential of near-infrared (NIR) spectroscopy and hyperspectral imaging for quality and safety assessment of fruits: An overview. Food Analytical Methods 12: 2438-2458.
4. Panigrahi, S.S., C.B. Singh, D. Zare, and J. Fielke. 2019. Modeling of heat and mass transfer within the grain storage ecosystem using numerical methods: A review. Drying Technology (https://doi.org/10.1080/07373937.2019.1656643).
5. Nosrati, M., D. Zare, C.B. Singh, and R.L. Stroshine. 2019. New approach in determination of moisture diffusivity for rough rice components in combined far-infrared drying by finite element method. Drying Technology (https://doi.org/10.1080/07373937.2019.1658203).
6. Ramalingam, S., R. Chand, C.B. Singh, and A. Singh. 2019. Phosphorene-gold nanocomposite based microfluidic aptasensor for the detection of okadaic acid. Biosensors and Bioelectronics 135: 14-21.
7. Singh, C.B., and J. Fielke. 2017. Recent developments in stored grain sensors, monitoring and management technology. IEEE Instrumentation & Measurement Magazine 20(3): 32-36.
8. Ravikanth, L., C.B. Singh, D.S. Jayas, and N.D.G. White. 2016. Performance evaluation of a classification model for the classification of contaminants from wheat using near-infrared hyperspectral imaging. Biosystems Engineering 147: 248-258.
9. Atungulu, G.G., H. Zhong, G. S. Osborn, A. Mauromoustakos, and C. B. Singh. 2016. Simulation and validation of on-farm in-bin drying and storage of rough rice. Applied Engineering in Agriculture 32(6): 881-897.
10. Ravikanth, L., C.B. Singh, D.S. Jayas, and N.D.G. White. 2015. Classification of contaminants from wheat using near-infrared hyperspectral imaging. Biosystems Engineering 135: 73-86.
11. Singh, C.B., D.S. Jayas, and R. Larson. 2014. Assessment of fan control strategies for in-bin natural air drying of wheat in Western Canada. Canadian Biosystems Engineering 56(3): 25-36.
12. Singh, C.B., D.S. Jayas, J. Paliwal, and N.D.G. White. 2012. Fungal damage detection in wheat using short-wave near-infrared hyperspectral and digital colour imaging. International Journal of Food Properties 15(1): 11-24.
13. Senthilkumar, T., C.B. Singh, D.S. Jayas and N.D.G. White. 2012. Detection of fungal infection in canola using near-infrared hyperspectral imaging. Journal of Agricultural Engineering 49(1): 21-27.
14. Zare, D., D.S. Jayas, and C.B. Singh. 2012. A generalized-dimensionless model for deep-bed drying of paddy. Drying Technology 30(1): 44-51.
15. Singh, C.B., D.S. Jayas, F. Borondics, and N.D.G. White. 2011. Synchrotron based infrared imaging study of compositional changes in stored wheat due to infection with Aspergillus glaucus. Journal of Stored Products Research 47(4): 372-377.
16. Zhang, W., C.B. Singh, D.S. Jayas, and N.D.G. White. 2011. Influence of growing location on features extracted from colour images of wheat and detection of foreign material represented by barley. Biosystems Engineering 110(3): 348-350.
17. Hemis, M., C.B. Singh, D. Bruneau, and D.S. Jayas. 2011. Dimensional simulation of coupled heat and mass transfer in granular porous media: Application to the drying of wheat. Drying Technology 29(11): 1267-1272.
18. Hemis, M., C.B. Singh, and D.S. Jayas. 2011. Microwave assisted thin layer drying of wheat. Drying Technology 29(10): 1240-1247.
19. Mohapatra, D., S. Mishra, C.B. Singh, and D.S. Jayas. 2011. Postharvest processing of banana: opportunities and challenges. Food and Bioprocess Technology 4(3): 327-339.
20. Bhuvaneswari, K., N. Varadharaju, P.G. Fields, N.D.G. White, A.K. Sarkar, C.B. Singh, and D.S. Jayas. 2011. Image analysis for detecting insect fragments in semolina. Journal of Stored Products Research 47 (1): 20-24.
21. Singh, C.B., D.S. Jayas, J. Paliwal, and N.D.G. White. 2010. Identification of insect-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging. Computers and Electronics in Agriculture 73(2): 118-125.
22. Singh, C.B., R. Choudhary, D.S. Jayas, and J. Paliwal. 2010. Wavelet analysis of signals in agriculture and food. Food and Bioprocess Technology 3(1): 2-12.
23. Singh, C.B., D.S. Jayas, J. Paliwal, and N.D.G. White. 2010. Detection of midge-damaged wheat kernels using short-wave near-infrared hyperspectral and digital colour imaging. Biosystems Engineering 105(3): 380-387.
24. Singh, C.B., D.S. Jayas, J. Paliwal, and N.D.G. White. 2009. Detection of sprouted and midge-damaged wheat kernels using near-infrared hyperspectral imaging. Cereal Chemistry 86(3): 256-260.
25. Singh, C.B., D.S. Jayas, J. Paliwal, and N.D.G. White. 2009. Detection of insect-damaged wheat kernels using near-infrared hyperspectral imaging. Journal of Stored Products Research 45(3): 151-158.
26. Narvankar, D.S., C.B. Singh, D.S. Jayas, and N.D.G. White. 2009. Assessment of soft X- ray imaging for detection of fungal infection in wheat. Biosystems Engineering 103: 49-56.
27. Hemis, M., A. Bettahar, C.B. Singh, D. Bruneau, and D.S. Jayas. 2009. An experimental study of wheat drying in thin layer and mathematical simulation of a fixed bed convective dryer. Drying Technology 27: 1-10.
28. Singh, C.B., D.S. Jayas, J. Paliwal, and N.D.G. White. 2007. Fungal detection in wheat using near-infrared hyperspectral imaging. Transactions of the ASABE 50(6): 2171-2176.
29. Singh, C.B., S. Bal., P. Ghosh, and D.S. Jayas. 2007. Thin layer drying model for natural convection drying of parboiled paddy. International Agricultural Engineering Journal 16(3-4): 179-184.