International Journal of Advances in Agricultural Science and Technology
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A Cloud-Based Real-Time Skin Cancer Detection System Utilizing Artificial Intelligence
Get PDFOne of the most serious types of cancer that can affect people is skin cancer. Skin cancer can be cured with earlydiscovery, and the patient's life may be saved with the appropriate care. Skin cancer disorders come in a varietyof forms, each with unique characteristics. Doctors utilize the ABCDET methodology, which is a classicmethod, to detect skin lesions. Nevertheless, with the number of cases of skin cancer rising worldwide in thepresent period, manual diagnosis of skin lesions is failing. To detect skin lesions more quickly and with fewerdiagnostic errors, doctors' workloads can be reduced by using automatic skin lesion detection. Combiningvarious deep learning and machine learning technologies can result in the development of an intelligent systemthat can correctly diagnose skin lesions.One type of deep learning model used to extract and classify skin lesiondata is the neural network model. This work contains a real-time skin cancer detection simulation and comparesCNN and random-forest classifiers for skin tumour categorization. The controversy centres on the HAM10000the dataset, which contains pictures of seven distinct kinds of skin diseases. Following picture preparation fordenoising and artifact removal, picture segmentation using Active Contours Without Edges (ACWE) andextraction of features using the ABCDT technique are performed. Next, a textural analysis is carried out usingthe Gray Level A combination Matrix (GLCM) and Fractal Dimensional Texture Analysis (FDTA).CNN'sclassification accuracy is 91.97%, whereas Random Forest's classification accuracy is 89.82%. The CNN modelperformed better than the Random Forest model for classification when the models that were trained were usedin a simulation in real time to identify skin cancer. 
THE INFLUENCE OF ADDING ORGANIC SELENIUM IN CONCENTRATED MIXTURES ON PRODUCTION RESULTS OF DUCKS FATTENING
Get PDFThe aim of this paper is to investigate the effect of the addition of different amounts oforganic selenium (ALKOSEL R397) in concentrated mixtures on duck fattening production results.The tests was performed on 240 one-day ducklings (Cherry Valley), which were freely selected into4 groups, one control K0 group, and three experimental K1, K2 and K3 groups. In two stages offattening, ducklings were fed with two and nutritionally different concentrated feed ingredients:starter (from 1 to 14 days) and finisher (15 to 49 days of fattening). The control group of theducklings (K0) was fed with food without added organic selenium in both stages of the fattening.The test group K1 in both phases was fed with food as well as a control group, but with the additionof 0.2 mg/kg of organic selenium, while the experimental group K2 used food with 0.4 mg/kg, andthe experimental group K3 with 0.6 mg/kg of organic selenium. Adding organic selenium to duckfoods has influence on increase in daily growth and a decrease in total consumption of food inducks. The best food conversion was found in a group of ducks that received the highest amount oforganic selenium during the whole experiment. Based on the research carried out, it can beconcluded that the addition of organic selenium in concentrate mixtures had a positive effect on theproduction results of ducks fattening
Deep Learning-Based Rice Quality Evaluation using Image Processing for Physical Attribute Analysis
Get PDFThe quality check of rice grain was done manually by experienced inspectors, but their analysis was incorrect.This paper proposes an automated strategy for collecting data on various rice types and analysing them based ontheir physical properties. We used methods such as computer vision and digital image processing, which includedpre-processing, morphological analysis, edge and object detection, and object measurement. The system is trainedusing both manual and machine learning techniques. The findings of image processing are saved to a file, andhypotheses for manual and machine learning training are generated using SVM and manual approaches. Thequality is then examined to establish whether the two ways result in higher or lower marks, and the bestmethodology is chosen through observation. 
Utilizing Deep Convolutional Neural Networks to Identify Pneumonia from Chest X-Ray Images
Get PDFChest pain, exhaustion, and coughing are all symptoms of pneumonia, a common respiratory infection. Youngchildren, the elderly, and people with compromised immune systems should avoid it. The diagnostic approachincludes a physical examination, a review of medical history, imaging testing, antibiotics, antiviral medicines, andsupportive treatment. This study suggests using three convolutional neural network (CNN) models to detectpneumonia: VGG19, DenseNet201, and CheXNet. The goal is to evaluate the performance of many models andselect the most reliable model for pneumonia identification. The VGG19 and DenseNet201 models were trainedand evaluated using a large dataset of chest X-ray images. With a score of 98.22%, our proposed model had thehighest training and tuning accuracy. The upgraded CheXNet model accurately identified a number of patternsand abnormalities in chest X-ray images associated with pneumonia. These findings highlight the enormouspotential of convolutional neural networks for automated pneumonia diagnosis. More research and validation areneeded to demonstrate its stability and generalizability over a wide range of patient demographics and imagingtechniques. 
INTRODUCING AN AI APPROACH FOR PREDICTING ROBBERY BEHAVIOR POTENTIAL USING INDOOR SECURITY CAMERAS
Get PDFFor video surveillance systems to stop incidents and safeguard assets, crime prediction is necessary. In this regard, our paper presents the first artificial intelligence method for indoor camera Robbery Behavior Potential (RBP) identification and prediction. Three detection modules—the head cover, crowd, and loitering detection modules—are the foundation of our approach, which enables us to take prompt action and stop robberies. Using our collected, manually annotated dataset, the YOLOV5 model is retrained for the first two modules. Additionally, we provide a brand-new definition for the DeepSORT-based loitering detection module. A fuzzy inference computer converts expert information into rules before making a final determination about the likelihood of a heist. This is difficult because the thief uses a different technique, the security camera is angled differently, and the video pictures have poor quality.Using actual video surveillance footage, we successfully completed our experiment and obtained an F1-score of 0.537. Thus, we develop threshold value for RBP to assess video pictures as a robbery detection issue and compare experimentally with other similar research. Assuming this, the experimental findings clearly reflect an F1-score of 0.607, indicating that the suggested technique outperforms other robbery detection methods in terms of identifying robberies. We firmly think that by anticipating and averting robbery incidents, the suggested method's implementation might reduce the harm caused by robberies at a security camera control center. However, a human operator's situational awareness improves and additional cameras may be controlled
SPECIAL ECONOMIC ZONES: LAND ACQUISITION AND EMPLOYMENT GENERATION
Get PDFIndia opened up its economy in 1991 and intensified its move towards export-led growth. In 2000, thegovernment replaced the old EPZ regime by a new scheme of “Special Economic Zones” (SEZs) withseveral lucrative incentives / benefits that were not available in the earlier scheme. In 2005, it enacted theSEZs Act and the SEZs Rules were notified in February, 2006. The policy is expected to give a big pushto exports, employment and investment in SEZs. Many of them occupy hundreds of acres of land eachand often the land is acquired by the government from unwilling farmers. The present paper studies theimpacts of SEZ on land acquisition, displacement of farmers, employment generation etc.The SEZ Act in 2005 marks the acquisitions of land by the state for “public purpose” and the transfer ofthe ownership of this land to private developers to set up their enterprise in the SEZs. The farm land hasbeen acquired without adequate compensation to the farmers by the government. On the basis of the LandAcquisition (Amendment) Bill, 1998, wishes of landowners could be ignored. Those people, who are notlandowners but depend on agriculture for their livelihood are not compensated by the government or theSEZs. The size of employment per unit in Indian SEZs is the smaller as compared to Bangladesh andanother feature is that the proportion of women workers in Indian SEZs is lower than that in BangladeshSEZs, and lower than in the SEZs of many other countries
Thermoelectric and Thermoacoustic Technologies for Food Refrigeration
Get PDF: Refrigeration has become an important part of the food industry. It is used in all stages ofthe chain, from food processing, to distribution, retail and final consumption in the home. The foodindustry employs both chilling and freezing processes where the food is cooled from ambient totemperatures above 0 °C in the former and between −18 °C and −35 °C in the latter to slow thephysical, microbiological and chemical activities that cause deterioration in foods. In theseprocesses mechanical refrigeration technologies are invariably employed that contributesignificantly to the environmental impacts of the food sector both through direct and indirectgreenhouse gas emissions. To reduce these emissions, research and development worldwide isaimed at both improving the performance of conventional systems and the development of newrefrigeration technologies of potentially much lower environmental impacts. This paper provides abrief review of both current state of the art technologies and emerging thermoelectric andThermoacoustic refrigeration technologies that have the potential to reduce the environmentalimpacts of refrigeration in the food industry
KNOWLEDGE AND ADOPTION OF RECOMMENDED PACKAGE OF PRACTICES OF PADDY CROP THROUGH EXTENSION CONTACTS BY TRIBAL FARMERS
Get PDFIndia is a country of villages where 72.22% population resides in villages and approximatelyby half of the gross national income comes from agriculture and agro based industries. Agriculture alonecontributes 22% GDP and provides livelihood to almost two third of the population. India is the secondlargest producer of rice in the world and ranks first in area but 35th in productivity (The Hindu Survey ofIndian Agriculture 2006:39). The socio-economic status of tribal farmers can be increases by raising theirrice production. Therefore, there is a need to plan and take up massive extension activities with dedicatedefforts for their upliftment. The present study is an effort in this direction by developing suitable,sustainable and strong extension contacts for the tribal farmers. The study was undertaken in 10 villagesin surguja district
ETHNOBOTANICAL SURVEY OF TRADITIONAL MEDICINES FOR HEMORRHOID TREATMENT
Get PDFHemorrhoids or piles is a type of gastrointestinal disorder in India where the required medication isoften not available or too expensive for local people. Other possibilities have to be investigated, like traditionalmedication in the form of medicinal plants to control the symptoms of the disease. By visiting tribal zones of Bihar, abig table was made, containing approx 90 species which all have a potential effect against hemorrhoids. Aeglemarmelos , Aloe vera , Cassia fistula , Commiphora mukul , Dalbergia sissoo, Eclipta alba, Emblica officinalis,Ficus carica Linn, Ginkgo biloba, Linum usitatissimum L., Mangifera indica Linn, Momordica charantia,, Nauclealatifolia,, Ocimum canum, Solanum melongena L., Strychnos Nux- vomica Linn.,Tinospora cordifolia, Syzygiumaromaticum and Moringa oleifera seem to be the most promising species for treatment. To solve the problem ofunaffordable medication, a closer look should be taken to the common food crops, approx 107 plant species wereapplied to different patients among the tribals which have a possible effect against the hemorrhoid may be internal orexternally prolapsed High fibre food may reduce constipation and enhance the bowel movements. Having differentgrades of piles either externally in the form of paste or internally as oral drug. The whole plant or its part either aloneor in combination are used for treatment. All these plants which have property of curing piles are mentioned herealong with the name of family, common vernacular name, botanical name, part used, different phytochemical(alkaloids, saponin, tannin, particular acids etc) and their images also. Medicinal plants are extremely valuable forhealth and material goods part of the biodiversity. The bioactive ingredients of these medicinally active plants are themain chemical constituents of the medicine prepared from these plants
Growth Performance, Economic Value and Carcass Characteristics of Rabbits Fed Lablab Seed as Major Protein Source in Diet
Get PDFA study was conducted to determine the growth performance, Economic assessment and carcasscharacteristics of rabbits fed lablab seed. The Highworth variety was processed by decortication, toastingand boiling, mill and respectively incorporated into diets T2, T3, T4 and T5 to provide 75% of proteinprovided by full fat soyabean (FFSB) in the control diet (T1). Thirty, 5-weeks old mixed bred rabbitsweighing between 350-358g were used in a completely randomized design. Rabbits fed heat treated seeddiets grew faster than those fed raw or decorticated seed diets. Growth parameters were similar for rabbitsfed T1, T4 and T5 diets. The dressing percentage of the rabbits fed control and heat treated lablab seeddiets were similar (55.35-59.13%) and higher than that of rabbits fed the raw (45.15%) or decorticated(45.75%) seed diets. Less cost was incurred on rabbits live weight gain using the control diet than thelablab seed diets. It cost N119.65 using boiled lablab seed diet for rabbits to gain 1kg live weight and₦128.91 was spent for the rabbits to gain same weight within the same period using toasted lablab seeddiets. Heat processed lablab seed diets were however, more cost effective than raw or decorticated lablabseed diets and more cost was incurred using decorticated than raw lablab seeds. Feeding of raw ordecorticated Lablab purpureus seed in diets resulted in poor growth and subsequent death of rabbits.Lablab purpureus must be processed before use in monogastric diets. Heat processed Lablab purpureusseed meal can be used to replace FFSB in diet to provide 75% of FFSB protein