Department of Agricultural Machinery
Faculty of Agriculture
Canakkale Onsekiz Mart University

Contact is not available Expertise: Sorting of agricultural products, image processing, NIR spectroscopy applications in sorting of agricultural products, post harvest technology, Automated, non-destructive ways to sense inner and outer quality of products Seeding machinery Facility: FT-NIR spectrometer (transmission, reflection modes, 780-2500 nm range), and the software. NIR spectrometer (reflection mode, 350-1000 nm range), and the software. Apparatus needed to hold products and light guides in acquiring the spectroscopy of the products. Equipment to measure fruit-vegetable firmness, colour, sugar content, and other basic laboratory equipment (scaling, drying, cooling etc.) Priority: non-destructive quality detection of agricultural products using NIR spectroscopy and/or image processing, automated classification of agricultural commodities.