Özet:

Aims: It is aimed to determine the level of mechanization in the Southeastern Anatolia Region in order to make better production planning, increase productivity and create projections for the future in agricultural enterprises. Methods and Results: In this study, mechanization level indicator values (kW ha-1, number of tractors 1000 ha-1, ha tractor-1, machine tractor-1) in the provinces of Southeastern Anatolia Region in Turkey were determined for the years 2010-2019 and the trends in the kW ha-1 value were predicted to using trend analysis for the years 2020-2030. The data were obtained from the Turkey Statistical Institute and the mechanization level indicators were calculated. Conclusions: Throughout the region by years, kW ha-1 and tractor 1000 ha-1 indicator values increased (0.70-0.99 kW ha-1; 17.45-24.63 tractor 1000 ha-1), but ha tractor-1 and machine tractor-1 values decreased (57.29-40.60 ha tractor-1; 5.17-5.04 machine tractor-1). The highest kW ha-1 value was in the province of Adıyaman (1.81-2.47 kW ha-1) and the lowest was in Diyarbakır province (0.60-0.74 kW ha-1). This indicator reached 0.70-0.99 kW ha-1 with an average increase of 3.70% in ten years throughout the region. An average increase of 2.47% was found in kW ha-1 value for the period 2020-2030 for the whole region. This indicator was 2.2% greater than the average of Turkey. kW ha-1 value for the whole region was estimated to be 1.02 in 2020, 1.16 in 2025 and 1.31 in 2030. The level of mechanization in the region has improved over the years, but this level of recovery rate was determined to be low. Significance and Impact of the Study: Comprehensive identification of the level of agricultural mechanization on a regional/provincial basis with current data will be able to contribute to agricultural development plans and ensure that the correct decisions are made for the future. In this way, agricultural enterprises will be able to make healthier production planning, select optimum tractor and machine sizes, increase productivity and create projections for the future.

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