Özet:

Spatial information technologies allow more accurate, reliable, affordable and rapid assessment of agro-ecological factors such as soil, climate, plant species, water demand, etc. that affect agricultural production directly. This technology has made it possible to support the sustainability of agricultural lands by enabling a much more accurate determination of location-based product preference. In this study, the water satisfaction index, total water requirement, excess water and deficit water values were estimated with the spatial information technology supported Crop Water Budget Model (Agrometshell) for the Seyhan Basin and the location based most suitable crop type among 23 crop groups was proposed. The water satisfaction index obtained for the crop groups took values between 0 to 100. When the statistics of the water sufficiency maps are analysed, it is determined that the highest water satisfaction percentage in the Seyhan Basin is for the product groups of legume forage crops, cruciferous crops and viticulture. The crop groups with the lowest water satisfaction percentages were found at nightshade crops, hard-shelled fruits and warm climate cereals. With the crop water budget model, the phenological development of plants was monitored and at the same time, it estimated how climatic conditions would affect the development of crops. Thus, it is thought that risk analyses will contribute to the studies that will guide in taking measures against these risks. Within the scope of this study, GIS was also used in the process of visualising and evaluating the outputs and thus, the model results were better expressed.

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