Volume 12 | Issue 3 |

 Abstract

Abstract: -Data analytics has already brought about a great deal of change in the world by bringing new ideas to improve decision-making, analyse patterns, and spot possibilities. The Internet of Things (IoT), artificial intelligence, and machine learning.The current situation of applying traditional approaches in practically all sectors is being revolutionised and changed by intelligence and big data. In India, agriculture employs about 42% of the labour force but only makes up 14% of the country's GDP (gross domestic product). The use of data analytics in agriculture has been the subject of extensive research. Nevertheless, integrating these technologies is not without its difficulties. First off, farmers are not usually aware of these technologies, and secondly, there is a lot of variety in the data regarding weather changes, diseases, insect damage, harvest and production, etc.

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 Keywords

machine learning , artificial intelligence, internat of things (IOT)

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This research investigates public perceptions and preferences concerning KIA Motors' Internal Combustion Engine (ICE) and Electric Vehicle (EV) car models in Erode district. Employing a comprehensive methodology, including descriptive, co relational, and explanatory research designs, data is gathered from 200 respondents using questionnaire surveys. Through statistical analyses, the study explores factors such as performance, affordability, environmental impact, and charging infrastructure to discern public attitudes towards ICE and EV models. The findings aim to inform KIA Motors' marketing strategies and product offerings, facilitating the transition to sustainable mobility solutions while addressing local preferences and expectations.

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 Keywords

KIA Motors, ICE (Internal Combustion Engine) cars, EV (Electric Vehicle) cars, Comparative study, Public perspective, Preferences, Erode District, Environmental awareness.

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Advertising plays a significant role in influencing consumer purchase decisions across various industries. This research paper aims to examine the intricate relationship between advertising and the consumer purchase decision process. By analysing existing literature and conducting empirical studies, this paper explores how advertising affects different stages of the consumer decision-making process, including awareness, consideration, purchase intention, and postpurchase behaviour. The findings of this research contribute to a deeper understanding of the dynamics between advertising and consumer behaviour, providing valuable insights for marketers and advertisers to develop effective advertising strategies.

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 Keywords

Consumer Purchase Decisions, Advertising, Purchase Intention, Post-Purchase Behaviour, Consumer Behaviour

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Agribusiness serves as the primary livelihood for approximately 70% of rural residents, with India ranking as the world's second-largest producer of various agricultural commodities. The agriculture industry significantly impacts India's gross domestic product (GDP). Technological advancements play a significant influence in enhancing agricultural practices, enabling the prediction of considerations include soil quality, crop health, and disease detection to optimize crop yields.Detecting and addressing plant leaf diseases early is paramount to prevent their spread and enhance overall yield. This research focuses on plant leaf disease detection and stage classification based on infection severity. The approach involves leveraging deep learning models, specifically YOLOv5 for disease detection, followed by background removal using the U2-Net architecture. Subsequently, a vision transformer (ViT) is employed for stage classification, categorizing severity into low, moderate, and high.To combat leaf diseases effectively, a recommendation solution is proposed. YOLOv5 is trained using open-source datasets, namely PlantDoc and Plantvillage. This study predominantly concentrates on apple leaf disease classification. Results indicate that YOLOv5 achieves a maximum F1-score of 0.57 at a confidence score of 0.2, while the vision transformer, when applied with and without background images, attains F1-scores of 0.758 and 0.908, respectively.

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 Keywords

YOLOv5 (You Only Look Once Version 5),ViT (Vision Transformer),CADS (Computer-Aided Disease Detection System),RPN (Region Proposal Network),NLP (Natural Language Processing),XAI (Explainable Artificial Intelligence),DCNN (Deep Convolutional Neural Network).

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The mining sector although leads to economic growth and development in society, also leads to huge environmental degradation. It also affects the farming activities to a greater extent. This study attempts to analyse the influence of bauxite mining on the agricultural activities of the mining and non-mining regions in the Koraput district of Odisha. The study is based on the primary data. It was observed that there was low productivity of crops in the mining region, producers could not also produce and sell vegetables in the market, whereas the producers in the non-mining region also earned by selling the vegetables. There is a need for policy actions to reduce the influence of mining activity on farming activities and ensure sustainable development.

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Bauxite mining, agricultural activity, productivity, yield

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This research paper analyzes The Palace of Illusions by Chitra Banerjee Divakaruni, a novel that challenges the epic's usually patriarchal representation of women by reimagining the Mahabharata from Draupadi's point of view. The study examines Draupadi's persona as a strong, independent woman who opposes and questions the social mores of her deeply patriarchal society. Through an examination of Divakaruni's feminist, cultural, and psychoanalytic interpretations of the Mahabharata, this essay makes the case that the author portrays Draupadi as a feminist symbol who triumphs over the constraints of a society controlled by men. The book gives the female characters of the epic a fresh voice by portraying Draupadi as a brave ruler and sharing her ideas and experiences with the reader. To provide light on Draupadi's hardships, sacrifices, and victories, the research delves deeper into her ties with other figures, such as Lord Krishna, Kunti (the mother of the Pandavas), and her five spouses. This study seeks to demonstrate how Divakaruni's reinterpretation of Draupadi's character acts as a potent representation of feminism and opposes the traditional patriarchal conventions of the Indian society depicted in the original epic through a thorough analysis of the novel.

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Feminism, Tradition, Patriarchy, Pandavas, Draupadi, Chastity, Polyandry,

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Tourism is not merely an activity for entertainment. It is an enriching and energizing activity. Jammu and Kashmir is among the most popular tourist attractions in the Himalayas in India. The Valley is abundant with many tourism-related resources. A suitable tourist strategy is necessary for the sustainable utilization of these tourism resources. In addition to examining government strategy for the development and growth of tourism in the Kashmir area, the purpose of the current study is to analyze tourism potentials and visitor flow in Kashmir. To achieve the study's aims, desk research methodology has been applied. Based on the findings, the tourism ministry of the Jammu and Kashmir government has drafted a tourist strategy. The proposed tourism policy includes promotional and development strategies for existing and new kinds of tourism, adhering to the sustainable approach, developing tourist infrastructure and human resources, guaranteeing safety and security, and promoting tourism education inside the state. Additionally, the state government is collaborating with various other interested organizations to promote ecotourism and unusual tourist spots. It has been reported that Jammu and Kashmir is replete in tourist sites, allowing travel companies to provide a variety of trip packages to visitors. For growth, tourism is the right vehicle. Tourism is an important industry in the state and is considered as a multi segmented industry, therefore provides different types of jobs like hotel managers, receptionists, guides, tour operators, travel agents, photographers and many other jobs which are required to strengthen the tourism. Kashmir is an area with great tourism potential and provides immense business opportunities for the Kashmir region. The present paper attempts to examine the problems and prospects of tourism in Kashmir in order to formulate the guideline for future tourism in the valley. It indicates that tourism is still in the early phase of development and that the valley has great potential.

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Key words: Right vehicles, Multi-segmented industries, Tourism potential, Business opportunity. Kashmir Tourism, Tourism Development, Tourism Policy

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The evolutionary progression of artificial intelligence (AI) in the global financial domain depicts a trajectory of transformative advancements accompanied by noteworthy discoveries and discernible implications. Specifically, the Asia Pacific region emerges as a pivotal hub for the burgeoning growth of AI, propelled by substantial investments and widespread adoption across diverse industries encompassing automotive, healthcare, retail, and food and beverages. Forecasts signal an exceptional surge in the worldwide AI market, catapulting from a valuation of USD 454.12 billion in 2022 to an astounding USD 2,575.16 billion by 2032, demonstrating a commendable compound annual growth rate (CAGR) of 19% spanning from 2023 to 2032. However, this upward force is coupled with significant economic considerations. The assimilation of AI initiates a shift in occupational roles, necessitating the augmentation of skill sets within the workforce while potentially precipitating job displacement. Comprehensive surveys conducted by esteemed entities, such as the World Economic Forum, indicate the potential replacement of 9% of financial services jobs with AI by 2030, concurrently envisaging a robust 19% workforce expansion in FinTech enterprises. This transition is expected to impact sectors like investment management, predicting a prospective reduction of 10% in employment numbers within five years and a substantial 24% decline over a decade. Concerns regarding algorithmic biases, transparency, and ethical implications necessitate meticulous navigation. Concurrently, a diverse array of global financial institutions showcase multifaceted applications of AI. From J.P. Morgan Chase and Goldman Sachs employing AI for fraud detection and risk assessment to forward-thinking entities like Trading Technologies and Sigmoidal leveraging AI for market analysis and asset allocation, respectively, these instances underscore AI's extensive utility in revolutionising conventional financial practices. However, the rapid proliferation of AI in finance also presents inherent risks. Limitations in programming codes pose a challenge in capturing the intricate dynamics of financial markets, potentially leading to inaccuracies. Furthermore, the finance sector confronts amplified virtual threats and data biases, necessitating stringent protocols against cybersecurity threats and biases perpetuated by AI's data interpretation. The intricate interplay between AI's transformative potential and associated challenges underscores the imperative need for a nuanced approach to harnessing AI's prowess within the financial landscape.

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 Keywords

Artificial Intelligence, AI, Financial Markets, Transformation, Impact Analysis, Algorithmic Biases, Market Volatility, Case Studies, Ethical Considerations, Financial Institutions, Investor Insights, Policy Implications, Job Displacement, and Technological Disruption.

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Determining the crucial aspects that impact crop output or plant development is made possible by the identification of plant diseases, making this a significant area of research. According to recent studies, 14.1% of plants perish from plant disease. It's a significant issue that could affect people's health as well. The greatest number of plants can be utilised to create medications. This implies that it's critical to identify plant illnesses early on.

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CNN, VGG16, Resnet34, Flask, plant disease

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT The article is based on the belief created through the stagnation of dark memory. The dark memory made Margaret white anxious about adulthood, becoming an unbearable barrier for Carrie white. The stagnation of standing within the fault has made Margaret regret and resist Carrie from being among the people and mingling with them. Carrie tried her best to be as normal as other kids, but as she tried more, it made her life more miserable. Carrie is always punished by praying for her fault in a small cabinet where her memory turns to feed the dark side in here. Later this provoked a kind of telekinetic power, where she could move things with her mind.

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Keywords: Memory, Belief, Barrier and Supernatural power.

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Creative Commons Attribution 4.0 and The Open Definition