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Determination of Agricultural Mechanization Level of Kırşehir Province Using Geographical Information Systems (GIS)      
Yazarlar
Dr. Öğr. Üyesi Gülden ÖZGÜNALTAY ERTUĞRUL Dr. Öğr. Üyesi Gülden ÖZGÜNALTAY ERTUĞRUL
Türkiye
Dr. Öğr. Üyesi Ömer ERTUĞRUL Dr. Öğr. Üyesi Ömer ERTUĞRUL
Kırşehir Ahi Evran Üniversitesi, Türkiye
Adnan Değirmencioğlu
Ege Üniversitesi, Türkiye
Özet
The aim of this study is to create a spatial database of basic values related to the level of agricultural mechanization with analyzable correlations. This will be helpful for decision-makers for producing policies to be followed in developing the agricultural structure of Kirsehir region.
The agricultural mechanization status in Kirsehir was investigated thorough evaluation of determination criteria of agricultural mechanization level; mean tractor power, mean tractor power per area worked, mean area worked per tractor, mean number of tractors per 1000 ha, mean number of agricultural tools/machines per tractor, mean number of combine harvesters per 1000 ha and mean area per combine harvester. According to 10-year data encompassing 2006-2015:
Mean tractor power of Kirsehir was 40.82 kW (lowest 27.47 kW in Akpinar, highest 52.38 kW in Kaman county);
Mean tractor power per area worked was 0.84 kWha(-1) (lowest 0.63 kWha(-1) in cicekdagi, highest 1.03 kWha(-1) in Mucur county);
Mean area worked per tractor 53.16 ha/tractor (lowest 29.88 ha/tractor in Akpinar, highest 79.32 ha/tractor in Kaman county);
Mean number of tractors per 1000 ha is 22 (lowest 13 in Kaman, highest 34 in Akpinar county);
Mean agricultural tools/machines per tractor is 6 (lowest 5 in Akpinar, highest 9 in cigekdag'i county);
Mean number of combine harvesters per 1000 ha is 2 (lowest 1 combine harvester per 2500 ha in Kaman, highest 3/1000 ha in Akpinar county);
Area worked per combine harvester is 895.3 ha (lowest 313.69 ha in Akpinar and highest 2564.5 ha in Kaman county).
Agricultural mechanization level in this region with dominant rural sector was behind the level in the country. This effective database which can be updated and enriched with different aspects forms a basic model for planning-based applications and provides high-detail case monitoring. The database will positively contribute to consistency in decisions to be taken related to agricultural development of the region.
Anahtar Kelimeler
agricultural mechanization | spatial evaluation | Kursehir | farming systems
Makale Türü Özgün Makale
Makale Alt Türü SSCI, AHCI, SCI, SCI-Exp dergilerinde yayımlanan tam makale
Dergi Adı COMPTES RENDUS DE L ACADEMIE BULGARE DES SCIENCES
Dergi ISSN 1310-1331
Dergi Tarandığı Indeksler SCI-Exp, SCOPUS, Biological Abstracts, Biosis Previews, Biosis Selective Coverage Shared, Curation, Essential Science Indicators, Pdf2xml, Pdf2xml, Reference Master, Sophia, Web Of Science Expanded, Zoological Record
Dergi Grubu Q4
Makale Dili İngilizce
Basım Tarihi 01-2019
Cilt No 72
Sayı 8
Sayfalar 1144 / 1152
Doi Numarası 10.7546/CRABS.2019.08.18
Makale Linki http://www.proceedings.bas.bg/