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Seçilmiş Fiziksel Özellikleriyle Erik Meyvesinin Kütlesinin Matematiksel Modeller ile Tahmin Edilmesi

Mathematical Models for Estimating the Mass of Plum Fruit by Selected Physical Properties

Journal Name:

  • Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Dergisi

Publication Year:

  • 2017
DOI: 
http://dx.doi.org/10.13002/jafag4304

Key Words:

Keywords (Original Language):

Author NameUniversity of AuthorFaculty of Author
Abstract (2. Language): 
Dimensional, optical properties and volume of agricultural products are the most important parameters in the design of postharvest equipment. In this study mass of plum fruit was estimated with using selected physical properties in linear and non-linear models. The result showed that the selected properties which were determined in this research such as length, width, thickness, geometric mean diameter, sphericity, mass, volume, projected areas and surface area values of Santa Rosa variety were significantly (p < 0.01) greater than for Can variety except for fruit density. For the practise applications, for estimating the mass of plum fruit, the thickness for Can and width for Santa Rosa can be used. The models based on projected are M 0.026PA 5.247 1 , R2=0.934, RMSE=0.891 for Can variety, 0.046 24.083 3 M PA , R2=0.961, RMSE=1.300 for Santa Rosa variety had highest R2 among the others, can be used. In third classification, the best model was obtained on the basis of the oblate spheroid volume as = . os M V , R2=0.981, RMSE=0.507 for Can variety and 0.937 os M 1.438V , R2=0.959, RMSE=1.326 for Santa Rose variety.
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Abstract (Original Language): 
Tarımsal ürünlerin boyutları, optik özellikleri ve hacimleri hasat sonrası ekipmanlarının tasarımlarında en önemli parametrelerdir. Bu çalışmada erik meyvesinin kütlesi, seçilmiş fiziksel özellikleri kullanılarak doğrusal ve doğrusal olmayan modellerle tahmin edilmiştir. Elde edilen sonuçlara göre; bu çalışmada belirlenmiş uzunluk, genişlik, kalınlık geometric ortalama çap, küresellik, kütle, hacim, projeksiyon alanı ve yüzey alanı gibi seçilmiş özelliklere ait değerler meyve yoğunluğu hariç Can çeşidine göre Santa Rosa çeşidinde daha yüksek bulunmuştur (p<0.01). Pratik uygulamalarda her iki çeşit içinde kalınlık değeri meyve kütlesinin tahmin edilmesi için kullanılabilir. Projeksiyon alanlarına göre diğerleri arasında en yüksek R2 değerine sahip olan modeller; Can çeşidi için M 0.026PA 5.247 1 R2=0.934, RMSE=0.891, Santa Rosa çeşidi için M 0.046PA 24.083 3 R2=0.961, RMSE=1.300 olarak bulunmuştur. Oblate sferoid hacim değerlerine göre belirlenen en iyi model Can çeşidi için, = . os M V R2=0.981, RMSE=0.507, Santa Rosa çeşidi için ise, 0.937 os M 1.438V R2=0.959, RMSE=1.326 dir.
FULL TEXT (PDF): 
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  • Turkish

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