Evaluation of the agricultural mechanization level in the provinces of central anatolia region

Bu araştırmada, Orta Anadolu Bölgesinde bulunan Kayseri, Kırşehir, Nevşehir, Niğde, Sivas, Yozgat, Aksaray ve Kırıkkale illerine ait tarımsal mekanizasyon düzeyinin 2005-2014 yılları arasındaki değişimi belirlenmiştir. Orta Anadolu Bölgesi’nde ilgili yıllar arasındaki değişimin istatistiksel olarak ortaya konulması amacıyla her bir yıla ait traktör sayısı, biçerdöver sayısı, tarımsal aletmakina sayısı ve tarımsal mekanizasyon düzeyi göstergeleri hesaplanmıştır. 2005 ve 2014 yıllarındaki traktör sayısı 113823 ve 126128 adet, biçerdöver sayısı 2115 ve 3140 adet ve tarımsal alet-makine sayısı 806940 ve 900050 adettir. 2005 ve 2014 yılları mekanizasyon göstergeleri sırasıyla; ortalama traktör gücü 39,32 ve 40,38 kW, ekilen tarım alana düşen traktör gücü 1,76 ve 2,18 kW/ha, 1000 ha alana düşen traktör sayısı 44,66 ve 53,90 adet, traktör başına düşen ekilen alan 22,39 ve 18,55 ha, ve 1000 ha alana düşen biçerdöver sayısı 0,83 ve 1,34 adet olarak belirlenmiştir.The present study was conducted to investigate the evaluation of the agricultural mechanization level in the Central Anatolia Region covering Kayseri, Kırşehir, Nevşehir, Niğde, Sivas, Yozgat, Aksaray and Kırıkkale provinces for the years 2005-2014. To reveal the evaluation statistically, Central Anatolia Region’s tractor number, harvester number, agricultural tool-machine number and agricultural mechanization level indicators for the related years have been calculated. For the years 2005 and 2014, the tractor numbers were 113823 and 126128, harvester numbers 2115 and 3140, while agricultural tool-machine numbers were 806940 and 900050. The 2005 and 2014 mechanization level indicators were defined as follows, respectively; average tractor power 39,32 kW and 40,38 kW, tractor power per cultivated area 1,76 kW/ha and 2,18 kW/ha, tractor number per 1000 ha area 44,66 and 53,90 cultivated area per tractor 22,39 ha and 18,55 ha, harvester numbers per 1000 ha area 0,83 and 1,34

Determination of Color Properties of Weed Using Image Processing

Image processing technique has come up with advancement of computer technology and has recently been widely used. This technique consists of two parts. In the first part, the input such as an image or a video obtained by a camera or a scanner is digitized. In the second part, some characteristics or parameters related to the image is gathered by using algorithms. By the improvements that took place in the area of image processing, the technique is now very popular in agricultural field and is an alternative method in identification of weeds, determination of their intensity and color properties. In this study, the color properties of three weeds; Chenopodium album L., Sonchus hierrensis, Lectuca serriola obtained by a digital camera and a Chroma meter were compared