4:00pm - 4:15pmID: 224
/ Tech 4A: 1
Regular submission (ORAL)
Topics: Food and BioprocessingKeywords: Dill seeds, hyperspectral imaging, classification
Varietal Discrimination of Dill (Anethum Graveolens L.) Seeds Using Hyperspectral Imaging
Umesh Chandra Lohani1,2, Senthilkumar Thiruppathi1,3, Diksha Singla1, Chandra Singh1
1Lethbridge College, Canada; 2G B Pant University of Agriculture & Technology, Pantnagar, India; 3University of Prince Edward Island, Charlottetown, PEI, Canada
4:15pm - 4:30pmID: 223
/ Tech 4A: 2
Regular submission (ORAL)
Topics: Food and BioprocessingKeywords: Chickpea, corn, hyperspectral imaging, machine learning, classification
Rapid Identification of Corn Flour Adulteration in Chickpea Flour using SWIR Hyperspectral Imaging and Machine Learning
Umesh Chandra Lohani1,2, Senthilkumar Thiruppathi1,3, Diksha Singla1, Chandra Singh1
1Lethbridge College, Canada; 2G B Pant University of Agriculture & Technology, Pantnagar, India; 3University of Prince Edward Island, Charlottetown, PEI, Canada
4:30pm - 4:45pmID: 246
/ Tech 4A: 3
Regular submission (ORAL)
Topics: Food and BioprocessingKeywords: Potato Flour, Chickpea Flour, NIR Hyperspectral Imaging, Machine Learning
Prediction of protein and starch content in flour blends using NIR hyperspectral imaging and ML regression
Saipriya Ramalingam1, Senthilkumar Thiruppathi2, Diksha Singla1, Chandra Singh1
1Lethbridge College, Alberta, Canada; 2University of Prince Edward Island, Charlottetown, PEI
4:45pm - 5:00pmID: 245
/ Tech 4A: 4
Regular submission (ORAL)
Topics: Food and BioprocessingKeywords: Russet Burbank, Hyperspectral Imaging, Machine Learning, Dry Matter
A SWIR hyperspectral imaging approach to the classification of potato tubers based on dry matter and sugar content
Saipriya Ramalingam1, Senthilkumar Thiruppathi2, Diksha Singla1, Chandra Singh1
1Lethbridge College, Alberta, Canada; 2University of Prince Edward Island, Charlottetown, PEI
5:00pm - 5:15pmID: 253
/ Tech 4A: 5
Regular submission (ORAL)
Topics: Food and BioprocessingKeywords: Glyphosate, Red lentil flour, NIR hyperspectral imaging, Machine learning.
Detection of Glyphosate Residue in Red Lentil Flour using NIR Hyperspectral Imaging and Machine Learning Methods
SINDHU SINDHU1, Senthilkumar Thiruppathi2,3, Chandra B. Singh2, Manickavasagan Annamalai1
1School of Engineering, University of Guelph, Guelph, Ontario, Canada, N1G 2W1; 2Centre for Applied Research, Innovation and Entrepreneurship, Lethbridge College, Lethbridge T1K 1L6, Alberta, Canada; 3Industry Research Chair (Sustainable Food Automation), Faculty of Sustainable Design Engineering, 550 University Avenue, University of Prince Edward Island, Charlottetown, PEI C1A 4P3 CANADA
5:15pm - 5:30pmID: 260
/ Tech 4A: 6
Regular submission (ORAL)
Topics: Food and BioprocessingKeywords: Chickpea, Yellow pea, SWIR, HSI, modeling, prediction
Prediction of Protein and Starch in Chickpea Flour Adulterated with Yellow Pea Flour using SWIR Hyperspectral Imaging
Senthilkumar Thiruppathi1, Dhritiman Saha2, Umesh Lohani3, Diksha Singla3, Chandra Singh3
1University of Prince Edward Island, Canada; 2ICAR-CIPHET, Ludhiana, Punjab, India; 3Lethbridge College
5:30pm - 5:45pmID: 129
/ Tech 4A: 7
Regular submission (ORAL)
Topics: Agriculture EngineeringKeywords: egg white, hydrogel, 3D-printing, biosensors
3D-printable egg white hydrogels for biosensors
Yawei Zhao, Wen Zhong
University of Manitoba, Canada
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