Estimation of the Weights of Almond Nuts Based on Physical Properties through Data Mining


  • Feyza GÜRBÜZ Erciyes University, Faculty of Engineering, Department of Industrial Engineering, 38039, Kayseri (TR)
  • Bünyamin DEMİR Mersin University, Vocational School of Technical Sciences, Department of Mechanical and Metal Technologies, 33343, Mersin (TR)
  • İkbal ESKİ Erciyes University, Faculty of Engineering, Department of Mechatronics Engineering, 38039, Kayseri (TR)
  • Zeynel Abidin KUŞ Erciyes University, Faculty of Agriculture, Department of Biosystems Engineering, 38039, Kayseri (TR)
  • Kadir Uğurtan YILMAZ Erciyes University, Faculty of Agriculture, Department of Horticulture, 38039, Kayseri (TR)
  • Ertuğrul İLİKÇİOĞLU Pistachio Research Institute, 27060, Gaziantep (TR)
  • Sezai ERCİŞLİ Ataturk University, Faculty of Agriculture, Department of Horticulture, 25240 Erzurum (TR)



find laws, fruit quality, fruit weights, polyanalyst, shape index


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.


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How to Cite

GÜRBÜZ, F., DEMİR, B., ESKİ, İkbal, KUŞ, Z. A., YILMAZ, K. U., İLİKÇİOĞLU, E., & ERCİŞLİ, S. (2018). Estimation of the Weights of Almond Nuts Based on Physical Properties through Data Mining. Notulae Botanicae Horti Agrobotanici Cluj-Napoca, 46(2), 579–584.



Research Articles
DOI: 10.15835/nbha46210631

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