Öz
In recent years, education of agricultural engineering as a renewal structure has been taught as “education of biosystem” in developed countries.“Education of Biosystem” which is a branch of engineering that includes the application of biological systems and processes as it extends to engineering science. It is related to agricultural engineering and its fields of study are: “agricultural automation and new developing technologies”, “sensitive agriculture techniques”, “sustainable agriculture against to changes of climate”, “determine of suitable agriculture techniques for global warming and climate changes, and “computer programs and applications of modeling”. These subjects include intensive study in the education process. Turkey countinues adopting to educational infrastructures in conformity to developed countries and renewing fast developments in leading agricultural techniques and biotechnology science. In this paper, computer programs and modeling were discussed using the educational process and renewal structure of highschools/vocational schools with the education of the faculty. In addition, teaching of advanced technologies and new trends were examined in terms of globalization and adaptation of mobility based on graduate level of higher education.
Anahtar Kelimeler
Agricultural education biosystem engineering higher education modelling sensitive techniques
Kaynakça
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- Ammann, K. (2008): “Feature: integrated farming: why organic farmers should use transgenic crops”, New Biotechnol. 25, p. 101–107.
- Morsillo, G., (2007), “Environment: Global Challenges, the Role of Space”, G8 UNESCO World Forum on Education, Research and Innovation, May 10-12, 2007, Triese, Italy.
- Anonymous (2008a). Biyosistem Mühendisliği Lisans Program (The Programme of Biosystem Engineering), Başvuru Dosyas, T.C. Uludağ Üniversitesi, Ziraat Fakültesi, s:321, Bursa, Türkiye.
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- Dökmen, F. and Duru, N. (2010). Trends of Modeling or Computer Systems in Education of Biosystem, Biotech 2010, The Moscow International Conference ‘Biotechnology: Ecology of Big Cities’, Biotechnology and Ecology 2010, Abstract Book, p: 379, Moscow, Rusia.
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- Dökmen, F. and Aslan, Z. (2013). Evaluation of the Parameters of Water Quality with Wavelet Techniques, Water Resources Management, DOI: 10.1007/S11269-013- 0454-5, 27:4977-4988, Springer.
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- Anonymous (2008b).http://www.waterlog.info/saltmod.htm
- Novák, V., Perfilieva, I., and Močkoř, J. (1999). Mathematical Principles of Fuzzy Logic Dodrecht: Kluwer Academic. ISBN 0- 7923-8595-0
- Anonymous (2006). “Fuzzy Logic”. Stanford Encyclopedia of Philosopy. Stanford University. 2006-07-23. Retrieved 2008-09-29.
- Zadeh, L.A. (1965). Fuzzy Sets, Inform Control 8:338-353.
- Duru, N., Dökmen, F., Canbay, M.M., and Kurtuluş, C. (2010). Soil Productivity Analysis Based on A Fuzzy Logic System, Journal of the Science of Food and Agriculture, DOI:10.1002/jsfa.4074, Online ISSN: 1097-0010, Vol.90 (3), ISSN:0022- 5142, p:2220-2227, WILEY InterScience.
- Gürer, K, 2010. Model Performance Evaluation of MM5 Model Initialized using CCSM3 Data for Future Air Quality Studies, California Air Resources Board, Technical Document.
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- Aslan, Z., D. Gabriels, C. Ayday, G. Erpul, K. Gürer, N.Yeniçeri, S. Söğüt, B. Oğuzhan, D.Okçu, N.Çağlar, A. Tokgozlu, (2010). “Actual Erosivity Analysis based on Ground Measurements and Remote Sensing Data”, TUJJB-TUMAHAP-01-06, BU, Turkey.
Öz
Kaynakça
- Cevheri, C.İ. (2004). Tarmsal Bilişim ve GAP (Agricultural Informatics and South Anatolia Project) (Harran Üniversitesi, Akçakale MYO), Tarmsal Bilişim Teknolojileri 4. Sempozyum Bildiriler Kitab, Türkiye.
- Ammann, K. (2008): “Feature: integrated farming: why organic farmers should use transgenic crops”, New Biotechnol. 25, p. 101–107.
- Morsillo, G., (2007), “Environment: Global Challenges, the Role of Space”, G8 UNESCO World Forum on Education, Research and Innovation, May 10-12, 2007, Triese, Italy.
- Anonymous (2008a). Biyosistem Mühendisliği Lisans Program (The Programme of Biosystem Engineering), Başvuru Dosyas, T.C. Uludağ Üniversitesi, Ziraat Fakültesi, s:321, Bursa, Türkiye.
- Anonymous(2009).http://www20.uludag.edu. tr/~tys/biyosistem/sitemapl.htm (Date:30.12.2009)
- Anonymous (2011a). http://www.bse.wisc.edu (Date: 30.03.2011)
- Anonymous (2011b).http://bse.bozok.edu.tr (Date:17.03.2011)
- Anonymous (2010a).http://www.xpsoftware.com/products /watershed. modeling-system-wms/ (Date: 10.01.2010)
- Anonymous(2010b).http://en.vikipedia.org/w iki/Digital_elevation_model(Date: 10.01.2010)
- Dökmen, F. and Duru, N. (2010). Trends of Modeling or Computer Systems in Education of Biosystem, Biotech 2010, The Moscow International Conference ‘Biotechnology: Ecology of Big Cities’, Biotechnology and Ecology 2010, Abstract Book, p: 379, Moscow, Rusia.
- Anonymous (2010c).http://mathsworks.com/products/wav elet/, Wavelet Toolbox 4.5, Analyze and Synthesize Signals and Images Using Wavelet Techniques (Date: 15.01.2010)
- Dökmen, F. and Aslan, Z. (2013). Evaluation of the Parameters of Water Quality with Wavelet Techniques, Water Resources Management, DOI: 10.1007/S11269-013- 0454-5, 27:4977-4988, Springer.
- Anonymous (2010d). http://www.mathworks.com (Date: 15.01.2010)
- Anonymous (2010e). http://www.mathworks.cn/products/netbuilde r/ (Date: 15.01.2010)
- Kesmez, G.D., Suarez, D.L., Taber, P. (2008). SWS (Soil-Water-Salinity): Doymamş Koşulda Çözelti Transferi Modeli (Solution Transfer Model in Unsaturated Condition), s:197-216, Sulama Tuzlanma Toplants, 12-13 Haziran, Şanlurfa Türkiye.
- Anonymous (2010f). Geo.arc.nasa.gov/sge/landsat/landsat.html (Date: 10.01.2010)
- Anonymous (2008b).http://www.waterlog.info/saltmod.htm
- Novák, V., Perfilieva, I., and Močkoř, J. (1999). Mathematical Principles of Fuzzy Logic Dodrecht: Kluwer Academic. ISBN 0- 7923-8595-0
- Anonymous (2006). “Fuzzy Logic”. Stanford Encyclopedia of Philosopy. Stanford University. 2006-07-23. Retrieved 2008-09-29.
- Zadeh, L.A. (1965). Fuzzy Sets, Inform Control 8:338-353.
- Duru, N., Dökmen, F., Canbay, M.M., and Kurtuluş, C. (2010). Soil Productivity Analysis Based on A Fuzzy Logic System, Journal of the Science of Food and Agriculture, DOI:10.1002/jsfa.4074, Online ISSN: 1097-0010, Vol.90 (3), ISSN:0022- 5142, p:2220-2227, WILEY InterScience.
- Gürer, K, 2010. Model Performance Evaluation of MM5 Model Initialized using CCSM3 Data for Future Air Quality Studies, California Air Resources Board, Technical Document.
- NCAR (2011). http://doi.ieeecomputersociety.org/10.1109/H PC.1997.592119,(April 3, 2011).
- Aslan, Z., D. Gabriels, C. Ayday, G. Erpul, K. Gürer, N.Yeniçeri, S. Söğüt, B. Oğuzhan, D.Okçu, N.Çağlar, A. Tokgozlu, (2010). “Actual Erosivity Analysis based on Ground Measurements and Remote Sensing Data”, TUJJB-TUMAHAP-01-06, BU, Turkey.
Ayrıntılar
| Konular | Mühendislik |
|---|---|
| Bölüm | Makaleler |
| Yazarlar | |
| Yayımlanma Tarihi | 28 Aralık 2016 |
| Yayımlandığı Sayı | Yıl 2016 Cilt: 6 Sayı: 4 |