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ÖZET Çanakkale'de tarım sektörü, oldukça geniş ürün çeşitliliğine sahiptir. Tarımsal faaliyetler arasında tarla tarımı, toplam tarım alanının %67'sinde yürütülmektedir. Bu alanlarda, artık potansiyeli bulunan ürünlerin yaygın olarak yetiştirilmekte olması nedeniyle, Çanakkale'de dikkate değer miktarlarda tarımsal artıklar oluşmaktadır. Söz konusu artıklar, Çanakkale için olduğu kadar Türkiye için de enerji kaynağı olarak önemli biyokütle potansiyeli oluşturmaktadır. Bu çalışmada, Çanakkale ilinin tarla tarımı kaynaklı artıkların oluşturduğu biyokütle potansiyeli belirlenmiş ve biyokütle kaynaklı enerji potansiyeli teorik olarak hesaplanmıştır. 2011-2015 yılları arasındaki istatistikleri kapsayan çalışmada, enerji dönüşümüne konu olabilecek tarla tarımı artıkları, ilçelere göre dağılım dikkate alınarak değerlendirilmiştir. Çanakkale'de gıda maddesi olarak tüketilmek üzere yetiştirilen tarla ürünlerinin hasat sonrasında tarlada bırakılan artıklarından elde edilebilecek toplam enerji potansiyelinin 3.33 PJ yıl -1 olduğu saptanmıştır. Çalışma, biyokütle kaynaklarının kullanımı, geleneksel yaklaşımların etkisi, ekonomik ve çevresel etkilerin değerlendirilmesi ve tarımsal artıklardan yararlanma konularında tartışma ve bazı çözüm önerilerini de içermektedir.Determining the residue and energy potential of field crops in Çanakkale Anahtar Sözcükler: Biyokütle Tarımsal artıklar Yenilenebilir enerji ABSTRACT Agricultural sector in Çanakkale province has a wide variety of products. The field crops are produced in 67% of the total agricultural area. Considerable amounts of agricultural residues occur in Çanakkale because of producing the field crops that have potential residue. These residues have a considerable biomass energy potential, which is important for both the Çanakkale and the Turkey. In this research, biomass energy potentials which could be obtained from field crops in Çanakkale province, and residual biomass potential was theoretically calculated by using the statistical data between the years of 2011 and 2015. Potential Residues of field crops were evaluated by considering the distribution by counties. It was determined that total heat capacity which could be obtained from crop residues after harvesting in Çanakkale was 3.33 PJ per year in average. In addition, results include discussion and suggestions about usage of residues, effects of conventional approach on usage of the biomass energy sources in Çanakkale.

One of the most important key factors for efficient and profitable agricultural production is agricultural mechanization. Since agricultural mechanization system expenses are nearly 30% of an agricultural enterprise investment, the mechanization system should be planned very carefully. Since internet technologies have spread into all areas, including agriculture, a web-based decision support system (DSS) was developed to plan an agricultural machinery system to be used in Turkey's farm enterprises. The developed DSS was written in PHP and the databases were created using the MySQL database administration system. Several tables to select proper machine size and tractor power, including tractor test report data, technical data of the machines produced in Turkey, field work days for Turkey's climatic conditions, and typical working speed and efficiencies of the machines, were included in the databases. For the areas over 10 ha surveys were done for collecting data according to main production and machinery commonly used. Average daily working time data were also estimated. By conducting simulations using the developed DSS based on the survey data, for the machines that are used for producing the most common products in the Adana region, machinery fleets were created and tractor power sizes were selected. According to the results, for farms smaller than 40 ha, one tractor of less than 157 kW would be sufficient, and for the areas that are over 40 ha, two or three tractors would be sufficient to complete the agricultural activities in an effective amount of time.

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As a result of pruning operations in olive orchards, large amounts of biomass material are produced every year. In this study, it was aimed to determine the pruning residual coefficients in olive varieties grown in Southern Marmara Region of Turkey. Amount of pruning residuals and its energy potential due to olive cultivation of the region was determined.. The coefficients were compared with the values obtained from different countries. Possible uses of the residual biomass were also investigated. The study material consisted of young (0-25 years), full-yield (25-50 years) and old (over 50 years) trees of Ayvalık, Gemlik and Domat, widely grown olive varieties in the Southern Marmara Region. The experiment used a randomized plot design sampling 5 trees for each age and variety. The average coefficients of determination for pruning residues were calculated as 33.62 kg tree -1 year -1 and 5668.63 kg ha -1 year -1 . Energy potential from pruning residues were determined to be 5.16 PJ for Southern Marmara Development Region.

The drying experiments were performed at different temperatures of the drying air (40, 50, and 60°C) and air velocity of 2.5 and 3.5 m/s. Six thin-layer drying models were evaluated and fitted to the experimental moisture data. The fit quality of the models was evaluated using the determination coefficient, chi-square, and root mean square error. Among the selected models, the Midilli et al. model was found to be the best model for describing the drying behaviour of olive pomace. Charcoal is used as a domestic fuel for cooking and heating in many developing countries. It is an important green source for making barbecue, which is obtained from agricultural waste. Due to less CO2 emission, it reduces health risk and deforestation. The coal briquette carbonisation production process consists of a carbonisation stage and a forming stage. During the forming stage, the raw material is mixed with a suitable binder. The final stage of the charcoal process after formation is drying. In this study, the drying parameters of charcoal briquettes made from the olive pomace-making process were evaluated. Three different temperatures and velocities were selected for the drying applications. The low temperature drying process was performed at 60, 50, and 40°C with air velocities of 3 and 2.5. The results were in the range of 3 to 8 hours of drying time. The drying data were applied to six different mathematical models, namely 1Diffusion Approach, 2Henderson and Pabis, 3Two term exponential, 4Midilli et al., 5Page, and 6Wang and Singh Equation Models. The performances of these models were compared according to the coefficient of determination (R2), standard error of estimate (SEE),

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