In the current study, four different types of yogurt were produced as control samples (no MPP added) and 1, 2, and 3% melon peel powder (MPP1, MPP2, and MPP3). These yogurts were determined by physicochemical, microbiological, sensory, total phenolic, and antioxidant activity weekly for 21 days. While ash, moisture, titratable acidity (TA), viscosity, water holding capacity (WHC), a* and b* values, total phenolic content (TPC), and antioxidant capacity of melon peel powder samples increased, L*, pH, and syneresis values decreased. In concentrations of 1, 2, and 3%, the mean antioxidant activity of powdered yogurt was found to have average values during storage of 30.09%, 32.32%, and 36.26%, respectively. All yogurts continued to contain more than 107 cfu/g of live lactic acid bacteria during fermentation. As the storage time increased, the sample’s pH and syneresis decreased, while titration acidity and texture increased. No yeast or mold (2 log cfu/g) was determined in the samples. The panelists preferred MPP1 and MPP2 samples. According to the findings of the study, melon rind powder, which is a by-product, can be recommended as a functional food additive in yogurts.

In the research conducted under the conditions of Tokat, silage triticale-vetch mixture-second crop silage corn rotation was applied. The study used four different tillage methods to compare the quality and product yield of the seedbed prepared for silage triticale-vetch mixture. Conventional tillage method (M1), conservation tillage method (M2), reduced tillage method (M3), and direct sowing (M4) methods were applied. Seedbed quality: It was evaluated regarding soil moisture content, bulk density, penetration resistance, degree of soil fragmentation, and surface roughness for depths of 0-10 cm and 10-20 cm. The effect of soil tillage methods on porosity, surface roughness, and green grass yield were statistically insignificant. Although there were statistical differences between the methods regarding soil moisture content (MC), bulk density (BD), penetration resistance (PR), and mean weight diameter values (MWD), the values are within the limit values determined for plant growth. However, crop yield is the same between soil tillage methods. This result shows that alternative tillage methods are applicable when evaluated in sustainable agriculture, which does not create a statistically significant difference in crop yield compared to conventional tillage.

Fish is regarded as an important protein source in human nutrition due to its high concentration of omega-3 fatty acids In traditional global cuisine, fish holds a prominent position, with seafood restaurants, fish markets, and eateries serving as popular venues for fish consumption. However, it is imperative to preserve fish freshness as improper storage can lead to rapid spoilage, posing risks of potential foodborne illnesses. To address this concern, artificial intelligence techniques have been utilized to evaluate fish freshness, introducing a deep learning and machine learning approach. Leveraging a dataset of 4476 fish images, this study conducted feature extraction using three transfer learning models (MobileNetV2, Xception, VGG16) and applied four machine learning algorithms (SVM, LR, ANN, RF) for classification. The synergy of Xception and MobileNetV2 with SVM and LR algorithms achieved a 100% success rate, highlighting the effectiveness of machine learning in preventing foodborne illness and preserving the taste and quality of fish products, especially in mass production facilities.

This study was conducted in Hatay and Mardin provinces to investigate the tendency of farmers to use social media, the difficulties they face during the use of social media and the variables affecting the use of social media by farmers. The research consisted of data obtained from a face-to-face survey of 221 producers using proportional sampling method. Descriptive statistics were used for data analysis, and chi-square analysis was used to examine the relationships between variables. The results showed that the rate of producers using social media was 77.8% in Mardin province and 73.8% in Hatay province. Additionally, farmers mostly use social media for communication with families and access to new news.  Also, the most commonly used social media applications in both provinces were WhatsApp and Facebook. As a result of this research, it was determined that farmers don’t use social media sufficiently for agricultural activities, and it was suggested that farmers’ organizations and related institutions should carry out information activities for farmers to encourage farmers to use social media efficiently.

Many scientific studies are conducted directly or indirectly with humans, animals, and plants. We believe that body electricity, which is generated and constantly present in the bodies of living beings, should be considered in scientific studies as an effective factor for production activity. We believe that body electricity should be included in the environment to bring the rumen fluids of sheep used in Daisy II rumen simulators closer to reality. In this way, the most realistic environment is created by adding the influencing factors of body electricity and many factors that can affect the outcome. The study was conducted on a total of 16 Karayaka ewes, including 4 lambs, 4 one-year-old ewes, 4 pregnant ewes and 4 lactating ewes. The data obtained in the study were collected by measuring the body electricity of the animals before and after grazing in 3 different periods for each group. At the end of the study, it was found that the value of body electricity of sheep determined at 0.12±0.001 v (volt) before feeding was higher than the value determined at 0.09±0.002 v after feeding. The difference between the two values was found to be statistically significant (P<0.05). However, it was found that the fact that the live weights of the animals in the groups were different and they were in different physiological periods did not cause a significant (P>0.05) difference in the electrical body currents before and after feeding (except in lambs (P<0.05)). It can be said that the measurements made in other periods and groups can change the electrical body currents after feeding and that the electrical body currents differ according to the animals fed in the barn, especially during the grazing period, before going to pasture and when returning to pasture.

The study was carried out to develop chicken patties by incorporating acorn flour as a meat replacer at 3%, 6%, and 9% levels in the formulation. For this purpose, the chemical (moisture, protein, fat, ash), pH, thiobarbituric acid (TBA), and color analyses in the raw and cooked chicken patties were analyzed. In addition, the cooking properties (cooking yield, diameter reduction, thickness reduction), functional properties (moisture and fat retention) and sensory properties were examined on cooked chicken patties. There were significant changes in the chemical, cooking, functional, and color properties of chicken patties with acorn flour. The moisture and protein values decreased, in both raw and cooked samples incorporated with acorn flour but fat level increased only in raw acorn flour added samples. Lightness (L*) and redness (a*) values decreased significantly. The addition of acorn flour caused an increase in b* values of raw samples and a decrease in cooked samples.  Acorn flour was not effective in preventing lipid oxidation. The addition of acorn flour contents in chicken patties improved functional and cooking properties, decreased cooking loss, and increased moisture and fat retention. The use of acorn flour improved the quality parameters of patties, but the addition of acorn flour resulted in a darker color in patties.  The use of acorn flour in chicken meatballs did not negatively affect sensory properties except color. In conclusion, acorn flour can be used as a filler and binder in chicken patties.

Apple production is a vital sector of agriculture in Nepal, significantly impacting local livelihoods and the regional economy. This study, conducted in Jumla District, Nepal, from January to July 2022, aims to comprehensively assess apple production, including its existing conditions, economic implications, marketing and challenges. The research hypothesizes that while apple production in Jumla District contributes significantly to the local economy, it faces challenges related to pest and disease management, marketing, and adoption of modern practices. Using Statistical Package for Social Science (SPSS), descriptive statistics were computed based on data collected from a sample of 80 respondents selected through simple random sampling. The result revealed that agriculture constituted the primary source of income for 73.75% of the population, with an average landholding size of 0.3428 ha and an apple-growing land area of 0.3164 ha. Income from apple production, along with vegetables and fruits, was a major income source. The average annual sales of apple production were 7.291 t/ha. Labor costs accounted for 45.67% of the total cost of apple production, with an average total production cost of NPR 238,097.2 and average gross returns of NPR 485,500. Apple productivity was 9.71 t/ha, demonstrating its economic viability with net returns of NPR 247,402.80 per ha and benefit cost ratio of 2.039. However, the study found that farm produce only sufficed for 6-9 months, with pest and disease incidence and marketing issues as major challenges. Interventions should address pest and disease management, marketing strategies, and modern practices adoption to enhance sustainable and profitable apple production in Jumla. Efforts to extend farm produce sufficiency should also be explored, highlighting apple production's potential and the need for targeted support to overcome challenges and foster sector development.

In this research, it is aimed to determine the factors affecting the innovation level of agricultural enterprises. Konya province was chosen as the research area because it is one of the important agricultural production centres in Türkiye. Stratified random sampling method was used within the scope of the study. A total of 268 agricultural enterprise owners were interviewed face to face and survey data were compiled. Multiple regression model was applied in the analysis of the factors affecting the perception of innovations by the operator. In this research, considering the characteristics of the data collected by the questionnaire, the linear regression model, which uses functional forms in regression models, was used. In the study, innovation index was taken as the dependent variable in the linear regression model. Independent variables were determined as education, experience, number of parcels, amount of land, active capital, amount of land, agricultural income, following innovations, receiving training on agricultural issues, participating in agricultural activities, following events related to agriculture on social media and cooperation with institutions. As a result of the model, a positive relationship was determined between education, experience, number of parcels, amount of land, active capital, amount of land, agricultural income, following innovations, receiving training on agriculture-related issues, participating in agriculture-related activities, following agriculture-related events on social media and cooperation with institutions and innovation index.

Araştırma Tokat Gaziosmanpaşa Üniversitesi Ziraat Fakültesi Bahçe Bitkileri Bölümü arazisinde, ‘Tokat-1’ Mürver genotipine uygulanan kontrol, PGPR bakterileri ve solucan gübresinin bitkisel özelliklerine etkilerinin belirlenmesi amacı ile yürütülmüştür. Uygulamalara göre, yazlık sürgün sayıları yaklaşık 14-20 adet/bitki olarak bulunmuş ve uygulamalar arasında istatistiki bir fark olmamıştır. Sürgün boyu en uzun, kontrol uygulamasından 89,39 cm, PGPR uygulamasına 86,48 cm ve solucan gübresi 77,03 cm olarak ölçülmüş ve uygulamalar arasındaki farklılık önemli bulunmuştur. Ağaç taç hacmi ortalaması 1,52-2,43 m3 olarak ölçülmüş ve en yüksek değer kontrol ve PGPR uygulamasından elde edilmiştir. Bitki gövde çapı ve yaprak alanı, uygulamalara göre değişmemiştir. Bitki kök sayısı (46-80 adet/bitki), kök çapı (7,88-10,45 mm) ve kök toplam kuru madde ağırlığına (%28,79-31,63) uygulamaların etkisi benzer bulunmuştur.

Post-modern toplum düzenini getirdiği yenilikler bireylerin yaşam tarzlarında ve alışkanlıklarında önemli değişimlere neden olmuş, bu değişimler gıda tercih ve tüketim alışkanlıklarında da gözlemlenmiştir. Günümüzde çoğu insan gıdaya erişimi artık sadece beslenme ihtiyacını karşılamaya yönelik bir çaba ile sınırlandırmayıp ondan psiko-sosyal ve ekonomik faydalar da beklemekte, beslenme alışkanlıklarına rasyonel, hedonik ve sembolik boyutlar eklemektedir.  Bu kapsamda yeme-içme faaliyetlerini evlerinin dışında gerçekleştiren bireylerin sayısında sürekli bir artış söz konusudur. Bu araştırmada ev dışı gıda tüketimini (EDGT) etkileyen gıda odaklı faktörler ve sosyo-demografik özelliklerin etkisi araştırılmıştır. Bu kapsamda Türkiye’nin 7 bölgesinin en büyük şehirlerinde 1016 tüketici ile yüz yüze anket çalışması gerçekleştirilmiş elde edilen veriler tanımlayıcı istatistikler ve sıralı probit regresyon modeli kullanılarak analiz edilmiştir. Buna göre gıda tercihlerini etkileyen faktörler arasında başkaları tarafından da tüketilen gıdaların ev dışı gıda tüketim sıklığı ile pozitif, besin içeriği ve yerel markaları tercih etme ile ise negatif ilişki durumu söz konusudur. Gıda tüketim desenlerinden fast-food tüketimi, sokak yemeği tercihi ve abur-cubur tüketimi ile EDGT sıklığı arasında pozitif, bitkisel temelli beslenme tercihiyle ise negatif bir ilişki bulunmuştur. Ayrıca sosyo-demografik özelliklerden cinsiyet, medeni durum, yaş, gelir ve eğitim de bireylerin EDGT’lerini etkilemektedir.