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dc.contributor.advisor
dc.contributor.authorGunawardhana, RKKG
dc.contributor.authorKathriarachchi, RPS
dc.date.accessioned2025-04-24T11:22:52Z
dc.date.available2025-04-24T11:22:52Z
dc.date.issued2024-09
dc.identifier.urihttp://ir.kdu.ac.lk/handle/345/8602
dc.description.abstractThe tea sector has a substantial impact on the world economy; however, it faces difficulties such as unstable markets, uneven tea leaf quality, and ineffective inventory management. Therefore, to improve tea quality and market stability, this study suggests a web-based application that combines cutting-edge technology, such as image processing, vehicle monitoring, and predictive analytics. The main goal was to create a complete solution that enhanced the ability of tea producers and processors to make decisions and operate more efficiently. The methodology of the study involved designing a system with five key components: predictive analytics for market forecasting, vehicle monitoring for logistics optimization, message control for stakeholder communication, tea leaf quality assessment through advanced image processing, and tea type management for inventory control. This integrated approach streamlines the operations in tea manufacturing, and it provides valuable insights into market trends and consumer preferences. The findings of the study indicate that the implementation of this system leads to improved tea quality, enhanced transportation efficiency, and better market responsiveness. However, challenges such as technology adoption and data integration remain. Future research will focus on refining these technologies and exploring their scalability across the industry. improves the competitiveness and sustainability of the tea sector by presenting a strategic framework that makes use of state-of-the-art technologies expenses. These difficulties include unstable markets, uneven tea leaf quality, and ineffective inventory management. Particularly small and medium-sized tea factories deal with a number of challenges in managing supply chains, upholding product quality, and embracing technological improvements. In addition, the tea business is vulnerable to changes in consumer tastes and price volatility in the market. Tea companies may experience lower profitability and a loss of market share if they are unable to predict market trends with sufficient accuracy and adjust to changing consumer preferences. In order ultimately fortify the tea industry's resistance to outside competition. Tea producers and processors can anticipate the solution into practice. Importance of the Research The tea business will benefit greatly from this research since it tackles important issues and offers a thorough framework for utilizing cutting-edge to address critical issues.en_US
dc.language.isoenen_US
dc.subjectTea quality enhancementen_US
dc.subjectMarket stabilityen_US
dc.subjectPredictive analyticsen_US
dc.subjectImage processingen_US
dc.subjectStrategic management approachen_US
dc.titleEnhance Tea Quality and Market Stability with Advanced Technology: A Strategic Management Approachen_US
dc.typeArticle Full Texten_US
dc.identifier.facultyFaculty of Computingen_US
dc.identifier.journal17th International Research conference -(KDUIRC-2024)en_US
dc.identifier.pgnos214-221en_US


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