@article{GÜRBÜZ_DEMİR_ESKİ_KUŞ_YILMAZ_İLİKÇİOĞLU_ERCİŞLİ_2018, title={Estimation of the Weights of Almond Nuts Based on Physical Properties through Data Mining}, volume={46}, url={https://notulaebotanicae.ro/index.php/nbha/article/view/10631}, DOI={10.15835/nbha46210631}, abstractNote={<p>Quality attributes are the major parameters designating market values of the agricultural goods and commodities. Several practices are applied to improve quality parameters of the fruits and vegetables. Such quality attributes should also be estimated through various approaches before to design of equipment and tools used in handling and processing of these goods and to design storage facilities. Data mining is a novel approach used to estimate various attributes or quality parameters of the fruits from previously measured attributes. Different algorithms embedded into data mining operations may yield quite accurate and reliable equations for estimation of quality attributes. Almond is a significant cash crop for growers. Since almond is quite tolerant to droughts and salinity, it is preferred in various parts of the country by producers. Weight is the primary quality parameter designating market value of the almonds. This study was conducted to estimate nut weights of seven different almond varieties and to develop an equation for the estimation of nut weights. Data mining approach was used to estimate nut weights from physical fruit quality attributes (kernel length, width, thickness, arithmetic mean diameter, geometric mean diameter, sphericity, surface area, volume, shape index and aspect ratio). Present findings revealed quite significant, accurate and practicable rules to estimate the nut weights of different almond varieties. It was concluded that data mining could be used as a reliable tool to estimate the nut weights of different almond varieties from the physical attributes of the fruits.</p>}, number={2}, journal={Notulae Botanicae Horti Agrobotanici Cluj-Napoca}, author={GÜRBÜZ, Feyza and DEMİR, Bünyamin and ESKİ, İkbal and KUŞ, Zeynel Abidin and YILMAZ, Kadir Uğurtan and İLİKÇİOĞLU, Ertuğrul and ERCİŞLİ, Sezai}, year={2018}, month={Mar.}, pages={579–584} }