EN
TR
Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System
Abstract
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.
Keywords
Details
Primary Language
English
Subjects
Agricultural Engineering
Journal Section
Research Article
Publication Date
December 25, 2010
Submission Date
January 1, 2010
Acceptance Date
-
Published in Issue
Year 2010 Volume: 24 Number: 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, and 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 (December 1, 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 and A. A. Altun, “Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System”, Selcuk J Agr Food Sci, vol. 24, no. 4, pp. 70–75, Dec. 2010, [Online]. Available: 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 (December 1, 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, and Adem Alpaslan Altun. “Against Frost Phenomena Misting Units in Konya Region Using Artificial Neural Networks Modeling System”. Selcuk Journal of Agriculture and Food Sciences, vol. 24, no. 4, Dec. 2010, pp. 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]. 2010 Dec. 1;24(4):70-5. Available from: https://izlik.org/JA69XB69MG