EN
TR
Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System
Öz
Fruit trees are damaged by low temperatures. Fruit yield is affected by both frost and relative humidity in the region. Therefore, the measures should be taken in order to be protected from frost in these regions. In this study, it is aimed that misting system is automatically worked depending on temperature and relative humidity. Moreover, it is also aimed for fruit trees not to be affected from cold and sudden temperature variations or to minimize its degree of effect. Temperature and moisture levels were tested after training with ANN. It was observed that the system was performed with minimum error when there was a risk of frost.
Anahtar Kelimeler
Ayrıntılar
Birincil Dil
İngilizce
Konular
Ziraat Mühendisliği
Bölüm
Araştırma Makalesi
Yayımlanma Tarihi
25 Aralık 2010
Gönderilme Tarihi
1 Ocak 2010
Kabul Tarihi
-
Yayımlandığı Sayı
Yıl 2010 Cilt: 24 Sayı: 4
APA
Sungur, C., & Altun, A. A. (2010). Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System. Selcuk Journal of Agriculture and Food Sciences, 24(4), 70-75. https://izlik.org/JA69XB69MG
AMA
1.Sungur C, Altun AA. Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System. Selcuk J Agr Food Sci. 2010;24(4):70-75. https://izlik.org/JA69XB69MG
Chicago
Sungur, Cemil, ve Adem Alpaslan Altun. 2010. “Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System”. Selcuk Journal of Agriculture and Food Sciences 24 (4): 70-75. https://izlik.org/JA69XB69MG.
EndNote
Sungur C, Altun AA (01 Aralık 2010) Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System. Selcuk Journal of Agriculture and Food Sciences 24 4 70–75.
IEEE
[1]C. Sungur ve A. A. Altun, “Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System”, Selcuk J Agr Food Sci, c. 24, sy 4, ss. 70–75, Ara. 2010, [çevrimiçi]. Erişim adresi: https://izlik.org/JA69XB69MG
ISNAD
Sungur, Cemil - Altun, Adem Alpaslan. “Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System”. Selcuk Journal of Agriculture and Food Sciences 24/4 (01 Aralık 2010): 70-75. https://izlik.org/JA69XB69MG.
JAMA
1.Sungur C, Altun AA. Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System. Selcuk J Agr Food Sci. 2010;24:70–75.
MLA
Sungur, Cemil, ve Adem Alpaslan Altun. “Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System”. Selcuk Journal of Agriculture and Food Sciences, c. 24, sy 4, Aralık 2010, ss. 70-75, https://izlik.org/JA69XB69MG.
Vancouver
1.Cemil Sungur, Adem Alpaslan Altun. Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System. Selcuk J Agr Food Sci [Internet]. 01 Aralık 2010;24(4):70-5. Erişim adresi: https://izlik.org/JA69XB69MG