The present study was focused on the design and implementation of an experimental recognition system for dirty chicken eggshell by using an image analysis technique. Image analysis based observation and evaluation techniques can be used efficiently and effectively for agricultural product quality control. Dirt stains on eggs are the result of mainly by feces (black to light brown stains), uric acid (white stains), yolk, and blood. The experimental system was used to obtain dark level images of dirty stains of chicken eggs owing to feces. For this aim, the dirty chicken eggs which have dirty parts were put under a webcam, and dirtiness degree was evaluated by using developed image analysis software at the LabVIEW platform. For the experiment, 100 clean and 100 dirty eggs were used to accurate the determination of dark stains. The results of the research showed that the designed experimental system pointed an accuracy of 99.8% at painted grade eggs. On the other hand, the accuracy of the differentiation of the dirt stains by feces was 98.5%. The developed system can be upgraded for developing egg sorting machines by presence-absence of dirty stains in eggshell.

After realizing that multi-storey buildings are contrary to human nature, the importance of natural landscape and green areas around it has been noticed. For this reason, people want to see how their environment will be in the design phase and the importance of project presentations is increasing day by day. Information technologies for spatial thinking, imagination and modelling have gradually started to be included in landscape design processes. The concept of virtual reality, augmented reality and immersive virtual reality are becoming more and more involved in our lives due to reasons such as the size of the devices getting smaller and their prices being relatively accessible to everyone. As an alternative to traditional presentation techniques and two-dimensional presentation techniques on the computer, making presentations in a virtual reality environment can be a stronger factor in people’s perception of the environment. In the study visual sets in basic, intermediate and advanced level of detail for the same landscape design and project site have been created. Each set consists of hand-drawn perspective image, computer aided perspective image, stereoscopic 360-degree VR image and an augmented reality model. In order to evaluate these visual sets, interviews were made with 10 landscape architects who are experts in the subject. As a result of the study, criteria’s for landscape presentations has been discussed and the advantages and disadvantages of landscape design presentations that will be created using virtual and augmented reality have been evaluated.

Husbandry has a special importance for people who live in rural areas in terms of agricultural income and profitability due to some contributions such as; providing cash flow throughout the year, product processing, balanced usage of labour force, and risk diversification. According to FAO data of 2017, Turkey’s ratio in the world’s total cattle existence was 0.99%, and it had a 2.78% ratio in total milk production. According to TSI data between 2004 and 2018; the number of total cattle reached 17.042.506 with a ratio increase of 4.62%, and the annual milk production amount reached 20.036.877 tons with a ratio increase of 7.23%. Within the period of time that is mentioned above, the contribution ratio of culture breed cattle in milk production reached 61.39% from 33.63%. However, in terms of milk cow productivity, Turkey is the 57th in the world. The cities of Konya, İzmir, Erzurum, Balıkesir, and Diyarbakır provide 21.74% of Turkey’s total milk cow existence, and 22.77% of the milk production total. In terms of agricultural subsidies which are provided by Ministry of Agriculture and Forestry, husbandry took a share of 25.79% from the 14.5 billion TL total agricultural subsidies in 2018. According to the research results, directly or indirectly, husbandry contributes to decreasing development level differences between regions, and it helps to improve enterprises’ income levels in rural areas.

Colour is an essential parameter at product quality control stages, and finally, it is necessary for the consumer marketing decision. It is possible to damage the products during the process from collection to storage. Also, it is a well-known condition, cold environmental conditions protect fruits from deformations negative effects, but most of the time, most of the consumers keep the fruits at room temperature in open packs during the consumption process. Also, this condition affects the product storage time. In this study, it is aimed that to determine the behaviours of the fruits in room temperature and humidity conditions. For this aim the colour change of the damaged pears were determined, in another term, colour change value from red to green and yellow to blue at the damaged pears were determined with lightness values by using image analysis technique and analysed with data mining methods. For this purpose, 100 “Akça” pear and 100 “Deveci” local pear cultivar used for experiments. Fruits were equally damaged by using a pendulum mechanism. The damaged fruits were kept at room temperature. Colour change areas on fruits were evaluated with X-rite Ci60 spectrophotometer, and the hardness of fruits was measured by using a fruit penetrometer. The colour (L, a, b) and ΔE values were analysed for the fruit cultivars. The relationship between fruit hardness and colour change were also demonstrated. The predictions were done supervised machine learning algorithms (Decision Tree and Neural Networks with Meta-Learning Techniques; Majority Voting and Random Forest) by using KNIME Analytics software. The classifier performance (accuracy, error, F-Measure, Cohen's Kappa, recall, precision, true positive (TP), false positive (FP), true negative (TN), false negative (FN) values were given at the conclusion section of the research. The best prediction were found at the Majority Voting method (MAVL) 98.458 % success given with 70% partitioning.

In turkey, one of the most important problem of livestock’s production is insufficiency of quality forage crop, but still few forage species are cultivated. On the other hand, conservation of plant genetic resources has become an important problem in the world today. Indeed, biodiversity is an indispensable element of human life, especially food, and it is estimated that 20% of these resources will extinct by 2030. The aim of study was to determine some quality traits of white sweet clover (Melilotus alba Desr.) collected from natural flora of Bilecik province. In this study, plants were collected at the flowering stage and investigated of 17 genotypes. The determined quality traits of genotypes as fallows; crude protein, ADF, NDF, RFV, K, P, Mg, Ca and Ca/P, and these traits were noted as11.99-21.07%, 27.70-40.53%, 43.31-55.84%, 93.44-147.02, 1.300-2.807%, 0.187-0.310%, 0.127-0.350%, 0.490-1.417% and 2.05-5.92%, respectively. As a result of the study, it has been determined that the quality of the white sweet clover genotypes collected from Bilecik natural flora have been sufficient for animal feeding and have a significant potential for future breeding activities.

In this study, the effect of postharvest salicylic acid (2 mM), oxalic acid (5 mM), putrescine (2 mM) and calcium (4% CaCl2) applications on storage performance of Autumn Giant plum fruit were investigated. After applications, plum fruits were placed in modified atmosphere packaging (MAP) and stored for 40 days at 85-90% relative humidity conditions at 0.5±0.5°C. In order to determine the fruit quality characteristics after treatments, weight loss, soluble solids content, titratable acidity, fruit firmness, ascorbic acid, total flavonoids, total phenolics and total antioxidant content analysis were performed at 10 days’ intervals. According to the results, the effect of applications on weight loss was not significant. The maximum decrease in flesh firmness, titratable acid and ascorbic acid content during storage was determined in control fruits. Although fluctuations in the form of increase or decrease in biochemical compounds were generally observed, decreases occurred according to harvest value at the end of storage period. Considering all measurements and evaluations, it was determined that application of salicylic acid and putrescine had a more positive effect on preservation of fruit quality properties and biochemical content of Autumn Giant plum cultivar during storage than other applications.

The present investigation aims to evaluate the phytochemical and antibacterial potential of different parts of A. marmelos. Thousands of species are acknowledged to have medicinal value and the use of different parts of several medicinal plants to cure specific aliments has been in vogue since archaic periods. Keeping this point in view, a study was undertaken to analyze the phytochemical and biological activity of a very valuable medicinal plant ‘Aegle marmelos’. Pieces of literature were collected from various journal articles, Government institutes and other relevant reports were studied and the major findings were summarized. Leaves of Aegle marmelos has been picked and collected from the local area of Chitwan, Nepal. During the present study, the extraction of the phytochemical was performed by Soxhlet extractor. The leaves were subjected to successive extraction using methanol inclusive of hexane as a solvent to procure extra activity test. Phytochemical screening of methanol extract and hexane extract leaves revealed the presence of alkaloids, terpenoids, tannins, etc. For the antibacterial activity test, the Disc diffusion method was used which showed the presence of S. aureus and E.coli. The study concluded that Aegle marmelos plant incorporated miscellaneous phytochemicals along with the antibacterial activity. Such phytochemicals derived from plant has a great prospect in contributing effective antibacterial agents to treat against intractable life-threatening diseases. Within this view, the present study has explored the efficiency of the Aegle marmelos as a valuable natural source.

Biology of the Lonicera whitefly, Aleyrodes lonicerae Walker (Hemiptera: Aleyrodidae) were studied on rose, Rosa sp. (Rosaceae) plants. Whitefly adults were collected from Mercurialis annua L. (Euphorbiaceae) plants in Adana. The development duration of egg, first, second, third, fourth larval (pupa) stages, total of A. lonicerae on Rosa sp. plants at 20°C were 8.44, 5.44, 5.50, 4.50, 5.19 and 29.07 days for the females and 8.15, 5.46, 5.92, 4.92, 5.38, 29.83 days for the males respectively. The development duration of egg, first, second, third, fourth larval (pupa) stages, total of A. lonicerae on Rosa sp. plants at 25°C were 8.00, 1.67, 2.33, 2.67, 9.67, 24.34 days for the females and 7.67, 2.33, 2.33, 3.33, 7.83 and 23.49 days for the males respectively. The mortality rate (%) of egg, first, second, third, fourth larval (pupae) stages of A. lonicerae at 20 and 25°C temperatures were 14.70, 13.97, 25.00, 20.58, 4.41; 2.89, 24.65, 26.08, 20.28, 13.06 respectively. The biggest k values at 20 and 25°C on rose plants were 0.2553 for the third larval stage and 0.3010 for the fourth larval stage, respectively.

It is very important to develop a new way of treatment for foodstuffs to provide consumers more chances to choose their foods. In the present study, we aimed to investigate the effect of microwave drying conditions on the rehydration process of Algerian truffles. Previously dried truffles, at different microwave power output (350, 500 and 650 Watt) and weights (100 and 150 g) have been utilized to analyses and to model the rehydration kinetics. Among the six used empirical models, Weibull model has been the most fitted model to all the treated samples. Microwave power output and sample weight were found to have an effect on truffles during drying, and consequently on their rehydration capacity. The high samples amount has decreased the effects of microwave drying by decreasing the density of treatment, also, the high-power output has probably reduced the time of evaporation, and thus more preservation to the dried truffles. These results can be taken into consideration for more industrial applications of microwave drying and subsequent rehydration of truffles.

Pneumonic Pasteurellosis (PP) is an infectious disease caused by Pasteurella multocida and Mannheimia haemolytica, mostly observed in cattle, sheep and calves. PP is characterized by fibrinous bronchopneumonia and pleuritis in the lungs. In this study, it was aimed to determine Caspase-3, Caspase-9, inducible nitric oxide synthase and neuronal nitric oxide synthase expressions by immunohistochemical methods in the lungs suffered from PP. For this purpose, twenty lung tissues were collected from calves with PP. For the Control Group, ten lungs of calves were collected from Aksaray Slaughterhouse. After necropsies of calves were confirmed to be PP by bacteriological examinations. Then the routine histological process was performed to tissues, and stained by Hematoxylin & Eosin for histopathology, and Caspase-3, Caspase-9, inducible nitric oxide synthase and neuronal nitric oxide synthase antibody staining for immunohistochemistry. The immunohistochemical findings indicated that Caspase-3, Caspase-9, inducible nitric oxide synthase and neuronal nitric oxide synthase positive reactions were seen in alveolar, bronchial and bronchiolar epithelia, and desquamated inflammatory cells in the lumens. In addition, the peripheral neural extensions were immunopositive for neuronal nitric oxide synthase and vascular endothelial cell were positive for inducible nitric oxide synthase. The findings can contribute to a better understanding of expressions of molecules such as Caspase and nitric oxide synthase. These results show that apoptosis and nitric oxide synthase expressions have triggered by airway epithelia and inflammatory cells in the lungs with Pneumonic Pasteurellosis in calves.