Biotech Studies 2008, Vol 17, Num, 1-2

Determination of Crop Cultivation Patterns Using Geographic Information Systems and Remote Sensing and Sunflower Yield Prediction in Edirne

Asuman YERDELEN 1 ,Ali MERMER 1 ,Fatma DEDEOĞLU 1 ,Hakan YILDIZ 1 ,Yalçın KAYA 2 ,Sami SÜZER 2 ,Murat Barıs ÖCAL 3

1 Tarla Bitkileri Merkez Arastırma Enstitüsü, Ankara
2 Trakya Tarımsal Arastırma Enstitüsü- Edirne
3 Tohumluk Tescil ve Sertifikasyon Merkezi Müdürlüğü, Ankara
- Reliable information about agricultural areas and agricultural production will be benificial for decision makers working for both Ministry of Agriculture and Rural Affairs and other fields to make more appropriate decisions in planning and invesment activities. As a result of this optimum usage of our sources and positive benifit/cost analysis invertments will be realized in low social cost. For this purpose determination of crop cultivation patterns and sunflower yield prediction in Edirne were done with this Project. Satellite images were classified and field work for yield prediction were executed in 9 county which belong to Edirne province. 500 GPS coordinates were collected in the study area. In the respect of classified images, sunflower cultivation areas were calculated as 114.562 ha in Edirne. Furthermore, a simulation model developed by FAO named as AGROMETSHELL was used for yield estimation. According to this prediction sunflower yield was found 151 kg/da in 2007. Keywords : Sunflower, yield prediction, crop pattern, satellite image