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The goal of this study is to explore the effectiveness of Support Vector Machine (SVM) and Convolutional Neural Network (CNN) algorithms in determining the freshness of fruits. To achieve this, a dataset of fruit images was collected and labeled with freshness scores. The images were preprocessed to enhance their quality and then fed into the SVM and CNN models for training and testing. Results show that the SVM and CNN algorithms were able to accurately classify the fruit images based on their freshness levels. The SVM algorithm achieved an accuracy of 70%, while the CNN algorithm achieved an accuracy of 96.5%. This study demonstrates the potential of machine learning algorithms in detecting fruit freshness and could have practical applications in the food industry. [ABSTRACT FROM AUTHOR]

High protein requirements in fish farming increase the need for imported fish feed. Protein, buoyancy, and good visuals are the main factors of interest in imported fish feed. This dependence has resulted in high operational costs for fish farming. The extruder machine reduces dependence on imported fish feed. Through the process of extrusion and heating on the Barrel, the printed fish feed has high buoyancy and good visual dimensions. This study aims to observe the capacity of the 27HP extruder machine with fish feed raw materials mixed with earthworms and maggots. The method used is experimental by testing the production of fish feed. Feed molding capacity with Torque, and required fuel consumption are test indicators. In addition, the quality of fish feed such as dimensions, weight, and buoyancy were measured. The results of the study explained that the PACAGOT fish feed printer extruder machine was able to print PACAGOT fish feed with a capacity of 44.12kg/hour, with a printer screw torque requirement of 348.22N.m, and fuel consumption of 288.48 ml/s. The printed PACAGOT fish feed has a measured weight of 1.06 grams and is able to float in 30 minutes with a percentage of 90%. PACAGOT fish feed contains proximate content that meets SNI with protein ranging from 24-26.66%, water content 9.75, ash 11.88, fat 8.64%, and fiber 7.35. [ABSTRACT FROM AUTHOR]

Ruminants have a unique digestive system. The stomach consist of rumen, reticulum, omasum, and abomasum. Microorganisms that live in the rumen of ruminants help digest high-fiber and low-quality feed into an energy source. Some animal feed cannot be given to livestock without going through a certain processing process because it is thought to have low digestibility. Fermentation increases the degradation of crude fiber by cellulolytic microbes in the rumen. This study aims to analyze the quality of ruminant feed using cellulolytic microorganisms compared to feed without special processing. This is a case study research using a qualitative approach, the data collected by literature study. The analysis results show that animal feed probiotics can increase microbes' effectiveness in the intestines. Microbes can increase the growth and development of livestock. Microbes can improve nutrient quality and reduce the negative impact of certain feed ingredients. Fermentation technology has improved the quality of ruminant feed. [ABSTRACT FROM AUTHOR]

This review exclusively covers the quality of parts produced by different powder fed Direct Energy Deposition (DED) processes. In this paper, the focus is on the parts which are made from the powders of stainless steels and nickel based super alloys. The properties such as tensile strength, yield strength, hardness, surface roughness, porosity, density and residual stresses of those DED parts are studied here. In this work, the discussion is made on how to control the size of melt pool, grain size and microstructure during the deposition process. At the end the sustainability of DED process is also discussed. [ABSTRACT FROM AUTHOR]

The productivity of natural pastures in producing quality forage is influenced by several factors, one of which is the availability of fields and seasons. In addition, the forage composition of a pasture also determines the quality of forage feeds. This study aims to determine the botanical composition and forage production in the dry season in a natural pasture in Gilireng village, Wajo regency. This study used a descriptive/survey method as well as primary data and observations in the field. Measurement of forage composition and production was carried out using the Summed Dominance Ratio method based on frequency, density, and cover area. The results showed that the botanical composition was dominated by weeds (45%), subsequently of grasses (35%), and then legumes (20%). Fresh weight production and the dry matters were 53.81 tons/ha and 8.39 tons/ha, respectively. Therefore, it can be concluded that the botanical composition and forage production during the dry season was relatively low in Gilireng village. [ABSTRACT FROM AUTHOR]

Lakor goat is an indigenous breed of Indonesia from Southwest Maluku regency, Indonesia. They are known to have a good adaptation to high temperatures and poor feed quality. Their meat is one of the protein supplies for the Lakor island local community. Genetic and environmental factors influence growth in animals. Insulin Growth Factor-1 (IGF-1) plays a substantial part in postnatal development, skeletal growth, cell proliferation, and metabolism in the animal. This study aimed to identify the genotype pattern of the IGF-1 gene SNP g.5752 G>C of Lakor goat from Southwest Maluku using the PCR-RFLP method. Sixty-three samples were collected from three villages in Lakor island. The follicle hair samples were taken from the tail and then isolated using a DNA extraction kit. Genotyping of IGF-1 gene SNP g.5752 G>C used PCR-RFLP method with HaeIII restriction enzyme. Results showed that all samples have BB genotype patterns or are monomorphic. It might be caused by the isolation or restricted area in Lakor island and the utilization of extensive rearing systems. This mutation in SNP g.5752 G>C of the IGF-1 gene was not used as a candidate of marker selection in the Lakor goat population. [ABSTRACT FROM AUTHOR]

The use of the feed additive "Peak-antistress" allows to activate the adaptive processes in the bird's body and stabilize metabolism due to the combined stress-protective and antioxidant action. Data analysis indicates that the poultry in the process of slaughter experiences stress of various origins, while the use of "SPAO-complex" and "Peak antistress" stabilizes adaptation processes in the body and stimulates metabolic processes, as evidenced by an increase in the average daily gain in live weight and safety of the bird experimental groups. The content of essential minerals and toxic elements in white and red meat of broiler chickens was significantly lower than the maximum permissible concentrations established in regulatory documents and reference literature. In white and red meat, the content of copper was 2.5 and 3.8%, iron 6.8 and 12.2%, zinc 6.6 and 18.5%, nickel 3.3 and 1.6%, cadmium 7.4 and 7.8, lead 8.3 and 8.0% of the maximum permissible concentration, respectively. In a comparative aspect, the use of the feed additive "Peak-Antistress" is more effective. [ABSTRACT FROM AUTHOR]

The paper investigates the features of bimetal formation from commercially pure titanium alloy and aluminum alloy 5056 using lap friction stir welding. The structure of bimetal and quality of joint depending on the change of tool feed rate is studied. Tensile tests were carried out to determine mechanical properties. The structure of bimetals was studied by methods of light optical and scanning electron microscopy. The results showed that the quality of titanium-aluminum bimetal in general is inversely proportional to the feed rate of the tool. [ABSTRACT FROM AUTHOR]