A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels

Karadavut, Ufuk; Kıymaz, Sultan; ERTEK, Ahmet

A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels

Sultan KIYMAZ, (Ahi Evran Üniversitesi, Ziraat Fakültesi-Biyosistem Mühendisliği Bölümü, Kırşehir, Türkiye)

Ufuk KARADAVUT, (Ahi Evran Üniversitesi, Ziraat Fakültesi Zootekni, Biyometri ve Genetik Bölümü, Kırşehir, Türkiye)

Ahmet ERTEK (Süleyman Demirel Üniversitesi, Ziraat Fakültesi Sulama ve Drenaj Bölümü, Isparta, Türkiye)

Türk Tarım ve Doğa Bilimleri Dergisi

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Yıl: 2018 Cilt: 5 Sayı: 3 Sayfa Aralığı: 303 - 309 Metin Dili: İngilizce İndeks Tarihi: 29-03-2019

A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels

Öz:

Leaf area is related to many physiological and agronomic studies including growth, photosynthesis,transpiration, and energy balance. The study aimed to determine the leaf area estimation of sugar beet (Betavulgaris L.) at different nitrogen levels under field conditions. The study was conducted out in split plots inrandomized complete blocks with three replications in 2012-2013, and measurements were taken from leafparameters, such as length (L) and width (W), petiole length, and the total number of leaf per a sugar beet. Theartificial neural networks and such non-linear methods as the Logistic, Richards, and Gompertz were comparedto estimate the leaf area measurements. As a result, all models have shown the highest identification success inthe level of third fertilization. While the ANN model in the first three fertilizer doses showed a higher definitionof success compared to other models, the Richards model in the fourth fertilizer dose has been more successful.An increase in the nitrogen level has accelerated the plant growth. While the ANN model remained insufficientfor very rapid growth identification, the Richards model is defined in more successful rapid growth.

Anahtar Kelime:

Yapay Sinir Ağları ve Bazı Doğrusal Olmayan Modellerin Farklı Azot Seviyelerindeki Şeker Pancarı Yaprak Alan Tahmininin Karşılaştırılması

Öz:

Yaprak alanı, birçok büyüme, fotosentez, terleme ve enerji dengesini içeren agronomik ve fizyolojik çalışmalarla ilgilidir. Çalışma, tarla koşullarında farklı azot seviyelerindeki şeker pancarının (Beta vulgaris L.) yaprak alanı tahmininin belirlenmesini amaçlamıştır. Çalışma, tesadüf bloklarında bölünmüş parseller deneme deseninde 3 tekerrürlü olarak 2012-2013 yıllarında yürütülmüştür. Ölçümler yaprak boyu, yaprak eni, yaprak sapı uzunluğu ve bitki başına toplam yaprak sayısı gibi yaprak parametrelerinden alınmıştır. Yapay sinir ağları ve Lojistik, Richards ve Gompertz gibi doğrusal olmayan yöntemler yaprak alanı ölçümlerini tahmin etmek için karşılaştırıldı. Sonuç olarak, tüm modeller üçüncü gübreleme düzeyinde en yüksek tanımlama başarısını göstermiştir. İlk üç gübre dozunda yapay sinir ağları (YSA) modelinde diğer modellere göre daha yüksek bir başarı düzeyi gösterilirken, dördüncü gübre dozunda Richards modeli daha başarılı olmuştur. Azot seviyesinin artması ile bitkinin büyümesi hızlanmaktadır. YSA modeli hızlı büyüme tanımlamasında yetersiz kalırken, Richards modeli daha hızlı büyümede daha başarılı olarak tanımlanmıştır.

Anahtar Kelime:

Belge Türü: Makale Makale Türü: Araştırma Makalesi Erişim Türü: Erişime Açık

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APA	Kıymaz S, Karadavut U, ERTEK A (2018). A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. , 303 - 309.
Chicago	Kıymaz Sultan,Karadavut Ufuk,ERTEK Ahmet A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. (2018): 303 - 309.
MLA	Kıymaz Sultan,Karadavut Ufuk,ERTEK Ahmet A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. , 2018, ss.303 - 309.
AMA	Kıymaz S,Karadavut U,ERTEK A A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. . 2018; 303 - 309.
Vancouver	Kıymaz S,Karadavut U,ERTEK A A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. . 2018; 303 - 309.
IEEE	Kıymaz S,Karadavut U,ERTEK A "A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels." , ss.303 - 309, 2018.
ISNAD	Kıymaz, Sultan vd. "A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels". (2018), 303-309.

APA	Kıymaz S, Karadavut U, ERTEK A (2018). A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. Türk Tarım ve Doğa Bilimleri Dergisi, 5(3), 303 - 309.
Chicago	Kıymaz Sultan,Karadavut Ufuk,ERTEK Ahmet A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. Türk Tarım ve Doğa Bilimleri Dergisi 5, no.3 (2018): 303 - 309.
MLA	Kıymaz Sultan,Karadavut Ufuk,ERTEK Ahmet A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. Türk Tarım ve Doğa Bilimleri Dergisi, vol.5, no.3, 2018, ss.303 - 309.
AMA	Kıymaz S,Karadavut U,ERTEK A A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. Türk Tarım ve Doğa Bilimleri Dergisi. 2018; 5(3): 303 - 309.
Vancouver	Kıymaz S,Karadavut U,ERTEK A A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels. Türk Tarım ve Doğa Bilimleri Dergisi. 2018; 5(3): 303 - 309.
IEEE	Kıymaz S,Karadavut U,ERTEK A "A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels." Türk Tarım ve Doğa Bilimleri Dergisi, 5, ss.303 - 309, 2018.
ISNAD	Kıymaz, Sultan vd. "A Comparison of Artificial Neural Networks and Some Nonlinear Models of Leaf Area Estimation of Sugar Beet at Different Nitrogen Levels". Türk Tarım ve Doğa Bilimleri Dergisi 5/3 (2018), 303-309.