Yazar "Everest, Bengu" seçeneğine göre listele

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    Adaptation to sustainable energy use: A case study on agricultural cooperatives
    (Academic Publication Council, 2022) Yildirim, Mustafa; Everest, Bengu
    Energy use rates are continuously growing with an increasing population. Rising energy needs then accelerate the depletion of fossil fuels. To ensure a sustainable future, renewable energy sources should be used worldwide. With the initiation of the industrial revolution, humankind started to use the world's energy resources without thinking about nature and future generations. Excessive consumption of available resources polluted the environment and altered climate patterns. Depleting fossil fuels in the near future and climate change will force world countries to tend to renewable energy sources. The present research was conducted to investigate the renewable energy awareness and adaptation of managers of agricultural development cooperatives composed of farmers, the most vulnerable segment of society to climate change. With the questionnaires, data were gathered about the general status of agricultural cooperatives, the socio-economic status of cooperative managers, managers' level of knowledge, and awareness of renewable energy resources. Survey data were subjected to fuzzy pairwise comparison and chi-square tests. Present findings revealed that cooperative managers had a medium level of knowledge on renewable energy. In addition, the cooperatives were willing to use and invest in renewable energy. This finding may guide policymakers in renewable energy investment decision-making.
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    Content Proposal for a Chatbot Module on Climate Change Mitigation in Sugar Beet Production
    (Springer India, 2025) Yakupoglu, Murat; Everest, Bengu
    Sugar beet production is one of the significant agricultural activities contributing to climate change due to its high input costs and capital-intensive nature. This study examines the tendencies of sugar beet farmers regarding methods to mitigate climate change and combines these findings with a proposal for a digital solution. This research, conducted in Konya province, a leading sugar beet production center in T & uuml;rkiye, evaluated farmers' perceptions of climate change mitigation methods using a Likert scale and logistic regression analysis. The findings, categorized into five groups (water management, soil conservation, reduction of carbon emissions, pest control, and other practices), revealed that farmers prioritize practices that provide economic benefits. The logistic regression results showed that farmers' willingness to receive climate change training was significantly associated with their frequency of visits to agricultural institutions (3.20 times more likely), engagement in livestock farming (0.14 times more likely), and their level of concern about climate change (6.17 times more likely). The primary importance of this study lies in its integration of the obtained quantitative findings with digital agricultural solutions. The research results provide a critical foundation for designing a personalized chatbot that can address the needs and tendencies of farmers. The chatbot to be developed should be designed as a communication platform that can approach farmers' concerns with empathy, effectively convey institutional support mechanisms, and offer solutions focused on economic benefits.
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    Is farmer burnout a threat to agricultural sustainability? Evidence from Türkiye
    (Routledge Journals, Taylor & Francis Ltd, 2025) Everest, Bengu
    Farmer burnout is not only an individual health problem, but also a situation that may threaten the continuity of agricultural production systems and environmental, economic, and social sustainability. The agriculture sector is strategic, and the World Health Organization recognizes burnout as a non-medical occupational phenomenon. On the other hand, the United Nations aims to achieve the Sustainable Development Goals (SDGs) by 2030. Some of the sub-goals of the SDGs, specifically 'Healthy Individuals' and 'Decent Work and Economic Growth', are related to burnout, as they focus on employees' mental health and wellbeing. This study aims to measure the burnout of farmers working in the agricultural sector. In the study, the Maslach Burnout Inventory was adapted to include statements specific to the farming profession, allowing for the measurement of burnout among farmers. The developed burnout scale was applied to 267 farmers. The number of farmers to be surveyed was determined by the proportional sampling method. The study measured farmers' burnout in three sub-dimensions: emotional exhaustion, depersonalization, and personal accomplishment. Accordingly, farmers experience moderate emotional exhaustion. Farmers felt a low level of depersonalization and found their accomplishment at a medium level. Drawing on the call to achieve the SDGs by 2030, the literature on burnout measurement, and the fact that agriculture is a strategic sector, this study presents a model that explains which sociodemographic characteristics affect farmers' burnout.
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    Socio-economic Structure of Farmers That Make Sheep Breeding and Practices Related to Their Sheep Breeding Activities
    (Kahramanmaras Sutcu Imam Univ Rektorlugu, 2019) Ozsayin, Damla; Everest, Bengu
    Aim of this study was to examine the socio-economic structure of farmers of sheep breeding in Gokceada district of Canakkale province and to determine their practices related to farmers' breeding activity. The data of the present study were obtained from surveying of 125 farms of sheep breeding by using the simple random sampling method. Descriptive statistics and 5-point likert-type scale were used to analyze the data. According to the results of study, it was found that the average age of farmers was 48.2 years, the average year of schooling of farmers was 7.8, the average household size was 4.2 persons, the average experience of farmers in sheep breeding was also 24 years and 10.4% of the farmers had the highest income (>= 50.001TL). Furthermore, the most factor that is pay attention in brood stock selection and in the milking were determined as ''I look at the physical characteristics of the animal'' and ''keeping to hygienic measures of farmer that make milking'' concept for farmers that dealing with sheep breeding, respectively. As a result, this study is expected to contribute district's economy and to rural development.
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    Sustainable site selection for a cooperative dairy factory in NW Türkiye
    (Global Network Environmental Science & Technology, 2025) Everest, Bengu; Everest, Timucin
    The world population is increasing, and agricultural products are strategically crucial for feeding the growing world population. In developed countries, cooperatives serve as an essential tool to ensure the sustainability of agricultural production and reduce costs. In T & uuml;rkiye, cooperatives play a limited role in controlling the agricultural product market. There are many dairy cooperatives in T & uuml;rkiye, but they are often ineffective in processing and marketing milk effectively. This study was conducted in & Ccedil;anakkale, NW T & uuml;rkiye. In this study, an approach was proposed to enable dairy cooperatives to select suitable sites for establishing a dairy factory. With this proposed approach, milk production quantity, population, land characteristics (land use capability classification (LUCC), and environmental conditions (solar energy potential) were used as main criteria. The Best Worst Method (BWM), a newly developed multi-criteria decision-making method (MCDM), was employed to determine the weights of the selected criteria. A geographical information system (GIS) was used to produce the final suitability map. Based on the BWM calculations, milk production quantity was identified as the most effective factor (46.55%), followed by population (25.86%), land use capability classification (17.24%), and photovoltaic potential (10.35%). The suitability analysis revealed that the Biga district was the most suitable location for establishing a dairy processing plant. The significance of the Biga district lies in its high milk production, large population, and well-established infrastructure that supports milk processing and marketing activities. The novel approach of this study is the integration of milk production, population, land use, and renewable energy potential through a Multi-Criteria Decision-Making (MCDM) method within a GIS environment, providing a guideline for the sustainable milk processing capacities of agricultural cooperatives. By considering photovoltaic potential and the utilization of marginal lands, the study emphasizes the importance of renewable energy and land conservation in dairy processing, thereby ensuring long-term environmental and economic benefits. Prioritizing sustainable and cooperative-oriented development contributes to T & uuml;rkiye's efforts to strengthen its agricultural sector. The data produced by this study can be utilized by politicians, decision-makers, cooperative members, farmers, and other relevant stakeholders.