CROP PATTERN DETERMINATION WITH MIXED INTEGER MATHEMATICAL PROGRAMMING TECHNIQUE IN SPECIFIC AGRICULTURE LAND: A CASE STUDY OF TURKEY

Eren H., ARIK O. A., YETİŞİR H.

FRESENIUS ENVIRONMENTAL BULLETIN, cilt.29, sa.9A, ss.8309-8318, 2020 (SCI-Expanded) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 29 Sayı: 9A
  • Basım Tarihi: 2020
  • Dergi Adı: FRESENIUS ENVIRONMENTAL BULLETIN
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Aerospace Database, Agricultural & Environmental Science Database, Aqualine, Aquatic Science & Fisheries Abstracts (ASFA), CAB Abstracts, Chemical Abstracts Core, Communication Abstracts, Environment Index, Geobase, Greenfile, Metadex, Pollution Abstracts, Veterinary Science Database, Civil Engineering Abstracts
  • Sayfa Sayıları: ss.8309-8318
  • Erciyes Üniversitesi Adresli: Evet

Özet

In recent researches, it is emphasized that the problem of hunger has come up with the rapidly increasing population all over the world and therefore the importance of agricultural production is increasing. However, the spatial loss and structural deterioration of agricultural production in agricultural lands is an important problem. The most important issue in agricultural production is to ensure the highest yield in the right production area, with the right products and cultural practices. In this study, crop pattern models are created with 26 crops by a mixed-integer mathematical programming model using climate data and soil properties on 11 sample farmlands in the TR72 region of Turkey. The region investigated in this study has a continental climate, while winters are cold, summers are hot and average temperatures are 10.8 C. The aim is to ensure that the land is used correctly and to prevent loss of agricultural land quality and to create an exemplary model that will increase the economic gain. As a result of the study, it is determined which species can be produced in which parcel and how crop rotation can be applied.