TAILIEUCHUNG - Application of data mining and adaptive neuro-fuzzy structure to predict color parameters of walnuts (Juglans regia L.)

Quality is the primary factor designating consumer satisfaction and the market price of agricultural commodities. Color and general appearance are the basic quality indicators for agricultural products. Surface colors are assessed through colorimetric measurements including L*, a*, and b* color parameters. | Turkish Journal of Agriculture and Forestry Research Article Turk J Agric For (2018) 42: 216-225 © TÜBİTAK doi: Application of data mining and adaptive neuro-fuzzy structure to predict color parameters of walnuts (Juglans regia L.) Bünyamin DEMİR* Department of Mechanical and Metal Technologies, Vocational School of Technical Sciences, Mersin University, Mersin, Turkey Received: Accepted/Published Online: Final Version: Abstract: Quality is the primary factor designating consumer satisfaction and the market price of agricultural commodities. Color and general appearance are the basic quality indicators for agricultural products. Surface colors are assessed through colorimetric measurements including L*, a*, and b* color parameters. In the present study, L*, a*, and b* color parameters of Bilecik, Fernette, Fernor, Kaman-1, Maraş-12, Maraş-18, Sunland, Şen-2, Yalova-1, and Yalova-3 walnut cultivars (color parameters of 100 randomly selected walnuts from each cultivar) were measured with a chroma meter (CR-5 Konica Minolta). Based on L*, a*, and b* measurements, equations from which color index (CI), chroma (C*), and hue (h*) angle parameters could be calculated were developed with the Find Laws algorithm of PolyAnalyst. The color parameters obtained from these newly developed equations were used in training of adaptive neuro-fuzzy structure. Then color index (CI), chroma (C*), and hue (h*) angle parameters were predicted by adaptive neuro-fuzzy approach. Root mean square error values of the adaptive neuro-fuzzy-based approach were respectively identified as for Bilecik, for Fernette, for Fernor, for Kaman-1, for Maraş-12, for Maraş-18, for Sunland, for Şen-2, for Yalova-1, and for Yalova-3 walnuts. The obtained equations can be used as a viable alternative instead of equations that vary depending on whether a* and b*

• Nông nghiệp
• Neuro fuzzy
• Walnut cultivars
• Color index
• Hue angle
• CR 5 Konica Minolta
• Ứng dụng Neurofuzzy
• Điều khiển nhiệt độ
• Lý thuyết Neurofuzzy
• Luận văn tự động hóa
• Phương pháp điều khiển
• Lý thuyết logic mờ
• Tự động hóa
• Cơ khí chế tạo máy
• Điện – điện tử
• Kiến trúc xây dựng
• kỹ thuật viễn thông
• ECG signal recognition
• Arrhythmia recognition respiration
• The neurofuzzy network
• The intelligent classifier
• Electrocardiogram (ECG) and respiration signals