International Journal of Advances in Agricultural Science and Technology
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The Future of Global Fast Food Retailing in India
Get PDFThe majority of consumers in India preferred home-cooked dishes, and the country had atraditional economy. Indian fast food companies, which sell traditional meals suited to theirtastes at competitive prices, must compete with multinational stores. Currently, the fast foodindustry in India is growing rapidly, which has created a huge barrier for many fast foodcompanies in the country, such as McDonald's and KFC, to start business. The Indian foodbusiness has been affected by many upheavals due to a number of changes. Accelerating andexpanding the reach of fast food restaurants in India, the quality and variety of services areparamount and cater to India's unique food needs. It is becoming increasingly accepted andwidespread, particularly among India's younger generations. This conceptual study is completelyfocused on the facts about the potential, challenges, and limits that worldwide fast foodmerchants face when starting a business in India, taking into consideration Indian culture andgrowing culinary tastes. The study's conclusions would aid fast food retailers in enhancing theiradvantages and improving their weaknesses
Amendment speed of water infiltration in surge irrigation for cinnamon forest soil
Get PDFSurge irrigation by furrows has been the subject of much research, and the results consistentlydemonstrate its numerous benefits over continuous watering. The benefits include a shorter time for the waterto reach the furrow end, much better irrigation water uniformity, less irrigation water loss due to deepfiltration and flow, and many more. For three years, researchers have been conducting studies in the"Chelopechene" experimental field. There is a distance of 150 meters and a furrow slope of 1%. There areeight furrows that have been detected. Constant values have been shown, and it has been shown that thesecond phase of the water flow takes less time to reach a given furrow section while increasing the time todrain the rear head of the water. Infiltration rates are getting close to the constant value of water filtration viasoil. 
ENVISAGE AND AUTHORING A VIDEO WITH SKETCH AND TEXT GLOSS SSG
Get PDF0Abstract—Interface intend issues relevant to this project which embrace the assimilation of media,annotation, use of descriptions, standards,accomplish the purpose of the multimedia system. Envisage a video in multimedia milieu with authoring is, serene a prickly way. In thisdissertation we present a twofold of action, at initial arena annotate a video with text depiction and sketch generation using Sobel Edge DetectionAlgorithm. This approach is used to engender sketches using sobel operator which discover the spiky intensity variation of an image and it attainthe edges of the objects enclosed on the image and then we found similarity between sketch and original image. At the instant phase werecommend a scene structured graph to authorize a video
A Review on Numerical Methods for Food Freezing Time Estimation
Get PDFEstimation of the freezing times for different types of foods with different shapes is a complexproblem in reality. However, simplifications based on practical assumptions usually lead to estimations withan acceptable accuracy. In this regard, some analytical solutions are available for simple geometric shapeswhile numerical solutions were given for more complicated shapes.This article presents various numericalmethods that estimate the freezing time for different products. In this regard, the freezing process ismathematically modelled by transient heat conduction equations that incorporate the physical properties ofthe three distinct regions that exist during a freezing process. These regions are namely, the solid phaseregion, the liquid phase region and the interface region. Methods for calculating freezing time and theevolution of temperature and phase change are reviewed and their underlying assumptions and limitationsare critically examined
Web-Based Malaria Diagnosis using Deep Convolutional Neural Networks for Granular Blood Sample Analysis
Get PDFMalaria is a serious health concern for modern humans, affecting people of all ages. Infected mosquitoes carry the fatalparasites responsible for malaria. Malaria can be diagnosed by examining a sample of the patient's blood under amicroscope for parasites. The project comprises creating a web tool that employs deep learning to detect malariaparasites in blood smear photos. Convolutional neural network (CNN) models such as ResNet50, VGG19, andCustomized CNN can be used to collect and categorize a set of blood smear images in order to identify patterns andcharacteristics. Convolutional layers, max-pooling layers, entirely linked layers, and a SoftMax layer are all utilized tocreate a Convolutional Neural Network (CNN) model. This technique can improve the accuracy of parasite diagnosis,increase detection rates, and reduce the disease's impact on global health. 
Advanced Traffic Safety System Utilizing AI for Speeding, Red Light, and Rider Monitoring
Get PDFAccording to recent reports, traffic violations have mostly resulted in an increase in fatalities and injuries on Indianroads. Because manually identifying traffic violations takes time, an automatic computer vision-based objectidentification model was required. The fundamental idea behind this research is to identify many transgressionsusing a single video frame. To perform various activities, the security camera's input video stream is processedand annotated. COCO is the dataset utilized for red-light leaping, while Google pictures are annotated to providethe dataset for over boarding. Tensor board is used to train the model and visualize its results. The criteriaemployed include precision, recall, F-measure, and P-measure. Red light skipping accuracy is 93%, and the overboarding mAP value is 0.5:0.95. This system makes extensive use of the video feed to detect various forms ofbreaches. 
Value Added Vermicompost for Better Farm Profits
Get PDFVermicomposting is an eco-friendly, efficient & rapid technique to waste management as it utilizestons of waste to produce nutrient rich organic fertilizer (vermicompost). Vermicompost is rich inNPK, calcium (Ca), magnesium (Mg), zinc (Zn) and manganese (Mn), humic acid, organic carbon,beneficial microbes etc. which helps in soil remediation, maintain plant growth and yield, diseaseand pest control, etc., but it is not efficient enough to provide plants with the necessary quantity ofmacro and micronutrients precisely as per the crop’s need. With every passing year, the soil fertilitystatus evaluation in the country puts forward new cases of nutrient deficiency, especially themicronutrients, owing to their very narrow range of deficiency and toxicity. As a result, there is anopportunity to improve the nutrient contents of vermicompost to ensure that they are delivered tocrops quickly and effectively. 
Evaluation of a Bioethanol Based on Sweet Sorghum Stalk Juice in Kenya Throughout Its Life Cycle
Get PDFA lot of nations have been pushing for biofuels as a way to cut down on fossil fuel use andemissions of greenhouse gases (GHG). The rapid growth and drought resilience of sweetsorghum have made it a promising feedstock for bioethanol production. This research looksat the energy and greenhouse gas (GHG) outputs of making bioethanol in Kenya from sweetsorghum stalk juice. Growing the crop, grinding the grain, converting it to bioethanol, andthen co-generating are the steps involved in making bioethanol. According to the research,for every liter of bioethanol generated, the greenhouse gas emissions amount to 424.19gCO2eq. The overall energy required to create one liter of bioethanol was determined to be10.08 MJ. Net energy value (NEV) = 11.12 MJ, net renewable energy value (NREV) = 19.68MJ, and net energy ratio (NER) = 13.6 were the results achieved for energy balances per literof bioethanol in the research. A positive result for NEV suggests that the amount of energyneeded to create one liter of bioethanol is lower than the energy content of the fuel itself. Asmall quantity of fossil fuels is needed to make one liter of bioethanol, as seen by the strongpositive values of NREV and NER. Using mass allocation, the research separated the energyinputs and greenhouse gas emissions for each phase of the sweet sorghum lifecycle. We rana sensitivity analysis to see how different amounts of stalk, juice, and bioethanol affected ourgreenhouse gas emissions and our NEV. Results showed that greenhouse gas emissions werestalk yield sensitive and NER was bioethanol yield sensitive. 
Influence of genotype and environments on quality of winter wheat varieties in NorthernBulgaria
Get PDFAccording to the Bulgarian official standard, the inquiry covered sixteen types from the first and secondquality groups. The study set out to do three things: determine how much of an impact variousenvironmental factors have on wheat quality indices; observe how different varieties responded todifferent combinations of growing conditions; and determine whether or not these varieties were able toreach their full quality potential in these particular settings. Using the Latin square approach in 5replications, the experiment was conducted from 2004 to 2007 at the Dobrudzha Agricultural Institute –General Toshevo (DAI) and the Institute of Agriculture and Seed Science, Obraztsov Chiflik, Rouse(OCH). Test weight, sedimentation value of flour, wet gluten content in grain, valorimeric value(valorimeter, conditional units), and loaf volume were the six grain quality indices found using theprocedures used in the DAI lab. These indices provide information about different aspects of grainquality. When looking at the variance in the quality indices of the wheat varieties that were studied, itwas discovered that the independent impact of the genotype had the least effect. Wet gluten content andvalorimetric value were the most affected by location. Character expression was most affected by yearcircumstances in terms of both test weight and loaf volume. The quality group's varieties were able toreach their full potential under more favorable circumstances than the second group's varieties overall.The first set of varieties did better in the face of fluctuating growth circumstances than the qualitystandard Pobeda, which had higher mean values. In terms of standard response, the kinds with higherindices were distinct. Demetra and Zlatina were the most vulnerable to climate change, whilst Aglika,Albena, and Preslav were the most hardy. 
First Comprehensive Report on the Occurrence of Various Fungal Diseases in Seabuckthorn from Uttarakhand, India
Get PDFSeabuckthorn is a general term given to the deciduous shrub tree Hippophae Linn.It is one of the most magical plant resources with higher value of economy and ecology. It isalso known as “wonder plant” due to its multifarious benefits. Therefore, seabuckthornshould serve as a measure to safeguard medicinal and nutritional plants, to conservebiodiversity and environment and to generate sustainable income source for local people.Diseases and insects are the major factors affecting the success of seabuckthorn cultivation.Control measures depend on proper identification of diseases and their causal agents. Properdisease diagnosis is therefore vital as without proper identification of the disease and thedisease causing agent, disease control measures are waste of time and money and can lead tofurther plant losses. Despite although there are a few reports available regarding thepathological aspect of Hippophae spp. in India, but there is no systematic study ondistribution and severity of diseases occurring on Hippophae salicifolia D. Don inUttarakhand. Hence, a systematic study was undertaken on the occurrence of diseases onSeabuckthorn plant which are responsible for negatively affecting the yield and quality of amagical plant of Indian Himalayan Region