Recently, agricultural production areas and farmer numbers have been decreasing in Turkey, which has started to cause concern. This study aimed to analyze the satisfaction levels of farmers in different irrigation areas in the Southeastern Anatolia Project (GAP)-Şanlıurfa region, based on indicators related to agricultural production and influencing factors. The data were obtained through face-to-face surveys with farmers in 2020 and analyzed by logistic regression in STATA. According to the results, 43.3% of the farmers are happy to be farmers in the current situation, and 35.6% want their children to continue farming activities. It was determined that the area of irrigation, education level, income, and farming experience were statistically significant at different rates in terms of the happiness of the farmers. On the other hand, livestock, number of households, and land size were not statistically significant. While 27.5% of the participants were fully satisfied with the given public support, 15.7% were satisfied with the market selling prices of their products, and 43.5% stated that effective organizations are needed to live well. To ensure agricultural sustainability in the research area, there is a need for more agricultural support, effective extension services, and the development of rural tourism with the participation of the public and private sectors. This study was the first of its kind to be conducted in Turkey.

Water scarcity is a prominent consequence of global climate change, presenting a significant challenge to the livelihoods of wide parts of the world, particularly in arid and semi-arid regions. This study focuses on Erbil Province in Iraq, where the dual effects of climate change and human activity have significantly depleted water resources in the past two decades. To address this challenge, rainwater harvesting (RWH) is explored as a viable solution. The purpose of this study is to make a suitability zone map that divides the study area into several classes based on the features of each area and its ability to collect rainwater. The map will then be used to find the best place to build different RWH structures. Seven different layers are used to make the RWH suitability zone map: rainfall, runoff, land use/cover (LU/LC), soil texture, slope, drainage density, and the Topographic Wetness Index (TWI). Each layer was assigned specific weights through the Analytical Hierarchy Process (AHP), considering its relevance to RWH. Results revealed four suitability classes: very highly suitable 1583.25 km² (10.67%), highly suitable 4968.55 km² (33.49%), moderately suitable 5295.65 km² (35.69%), and lowly suitable 2989.66 km² (20.15%). Notably, the suitability map highlights the northern and central regions as particularly suitable for RWH. Furthermore, the study suggested three suitable locations for constructing medium dams, six for check dams, and twenty-seven for farm ponds, according to the requirements of each type. These findings provide valuable insights for the strategic planning and effective management of water resources in the study area, offering potential solutions to the pressing challenges of water scarcity.

This research aims to determine the belief-based drought perceptions and attitudes of farmers in Şanlıurfa, which is in a semi-arid climate regime, and the factors affecting them. The surveys were conducted through face-to-face interviews with farmers selected by a simple random sampling method in 2020. Analyses were performed with ordinal logit regression in STATA. According to the results, while the effects of settlement location, land size, age, and the size of the household were statistically significant to farmers seeing drought, which is the dependent variable, as caused by fate, the effects of income, experience, and education level were insignificant. For the probability of predicting drought for each independent variable in the sequence analysis, the highest probabilities were found among farmers in the Harran Plain, with 21–30 years of experience, from a household of one to four people, with the land area between 5.1 and 10.0 hectares, aged 61 and above, who were primary school graduates, and who had an annual income of less than 25,000 TL ($3561). The subject of drought should be given more place in religious education in the entire research area by prioritizing these groups. It would also be beneficial to organize workshops for the farmers by agricultural consultants, where Islamic scholars would be present to support science and knowledge in terms of faith. This study is the first in this context in Turkey and provides useful data to policymakers for drought-mitigation policies.

The surrounding agricultural lands in the city have been decreasing daily due to the expansion of urbanisation above it and the increase in the urbanisation rate in the study area, as the population growth exerted increasing pressures on the city. Furthermore, the increase in population increases the demand for land for housing and other human services, which will impact agricultural lands. In addition, the lack of proper planning in the city contributes to expanding urbanisation at the expense of agricultural land. This study aims to study the urban expansion in the direction of agricultural lands in Erbil from the year 2000 until 2020, reveal the reasons for the urban expansion in the city and put an end to the trespassers on the lands and it has negative impact on the lack of agricultural areas and the encroachment of urbanisation on it. Landsat TM 5 and Landsat 8 OLI will be used to identify and develop urban growth and its impacts on agriculture and some Remote sensing Data and GIS from 2000 to 2020 with 10 years difference to find the changes in these years and also provide a predicted map for Erbil governorate. The study recommended the necessity of preparing a strategic plan for the use of agricultural lands that regulates the urban development process of the population centres and achieves the appropriate and sustainable use of agricultural lands and their preservation. Encouraging the investment of lands and cultivation of crops to meet the population's need for vegetables and other crops. The findings of this study will help decision-makers develop future urbanisation policies, and it is worthwhile to investigate them further. The prediction model will demonstrate whether built-up areas will continue to grow or not and whether the average agricultural areas will continue to shrink based on regression analysis. Planning effective urban environmental management can benefit from this type of forecast of the LULC picture in the future.