Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 1 of 1
Full-Text Articles in Forest Sciences
Classification Of Hybrid Chestnut Cultivars (Castanea Sativa) Registered In Türkiye With Artificial Neural Networks, Based On Some Physical Properties Of Their Nuts, Taner Yildiz
Turkish Journal of Agriculture and Forestry
Understanding how the classification and identification of biological species can evaluate improvements in newly developed cultivars, including chestnuts (Castanea sativa), is crucial for product processing and equipment design. To evaluate this, in the present study artificial neural networks (ANNs) were used to characterize four hybrid chestnut cultivars (Macit 55, Akyüz, and Ali Nihat registered in Türkiye and Bouche de Betizac registered in France). A backpropagation neural networks algorithm was used in the ANN approach based on nine physical properties. These properties included shelled nut weight and volume, sphericity, geometric mean diameter, bulk density, surface area, true density, porosity, and length, …