International Research Journal of Innovations in Engineering and Technology - IRJIET International Open Access, Monthly, Peer Reviewed, Reputed Journal ISSN (online): 2581-3048

Impact Factor (2025): 6.9

DOI Prefix: 10.47001/IRJIET

“Spices Master” Intelligent Management System for Sri Lankan Spice Market Using Machine Learning

Abstract

The intelligent management system for Sri Lankan spice market using machine learning is a technology-based solution to streamline the management of the Sri Lankan spice market. The system uses machine learning algorithms to analyze and forecast market trends, enabling industry stakeholders to make informed decisions. The system collects data from various sources, such as historical sales data, weather forecasts, geopolitical events, and other relevant factors that can affect the market. We then use machine learning algorithms to analyze the data to provide insights that help optimize supply chains, improve pricing strategies, and identify new market opportunities. This intelligent management system enables stakeholders to make data-driven decisions that reduce waste, reduce costs, and improve overall efficiency in the spice market. The system also helps stakeholders adapt to changing market conditions and stay ahead of their competitors. Overall, an intelligent Sri Lanka spice market management system powered by machine learning is a powerful tool that will revolutionize how the spice market works and bring significant benefits to all stakeholders in the industry.

Country : Sri Lanka

1 Hashini Chamika2 Sanjula Lakshan3 Piyumi Upeka4 Malinda Nadeeshan5 Buddhima Attanayaka6 Anjalee Gamage

  1. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  2. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  3. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  4. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  5. Department of Computer System Engineering, Sri Lanka Institute of Information Technology, Malabe, Sri Lanka
  6. Department of Information Technology, Sri Lanka Institute of Information Technology, Metro, Sri Lanka

IRJIET, Volume 7, Issue 6, June 2023 pp. 178-184

doi.org/10.47001/IRJIET/2023.706028

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References

  1. M. Silva, "The Most Important Sri Lankan Spices You Should Know About," Culture Trip, 26-Aug-2019. [Online]. Available: https://theculturetrip.com/asia/sri-lanka/articles/the-most-important-sri-lankan-spices-you-should-know-about/. [Accessed: 04-Mar-2023].
  2. "Industry Capability," Sri Lanka Business, [Online]. Available: https://www.srilankabusiness.com/spices/about/industry-capability.html. [Accessed: 04-Mar-2023].
  3. "About Sri Lankan Spices," Sri Lanka Business, [Online]. Available: https://www.srilankabusiness.com/spices/about/. [Accessed: 04-Mar-2023].
  4. S. Silva and S. Abeywickrama, "Cinnamon: Production, Processing and Quality," in Encyclopedia of Life Support Systems (EOLSS), EOLSS Publishers, 2006, pp. 48-72. [Online]. Available: https://www.eolss.net/Sample-Chapters/C10/E1-05A-48-00.pdf. [Accessed: 04-Mar-2023].
  5. "Top 11 Essential Ceylon Spices," Spice Rally, 07-Jan-2021. [Online]. Available: https://spicerally.com/top-11-essential-ceylon-spices/. [Accessed: 04-Mar-2023].
  6. "Spices in Sri Lanka," Next Travel Sri Lanka, [Online]. Available: https://nexttravelsrilanka.com/spices-sri-lanka/. [Accessed: 04-Mar-2023].
  7. "Sri Lankan Spices," Spice of Life, [Online]. Available: http://spiceoflife.lk/home.html. [Accessed: 04-Mar-2023].
  8. "Spice Sri Lanka," Spice Sri Lanka, [Online]. Available: https://www.spicesrilanka.com/. [Accessed: 04-Mar-2023].
  9. "Condiments & Spice Mixtures," Sri Lanka Business, [Online]. Available: https://www.srilankabusiness.com/spices/condiments-spice-mixtures.html. [Accessed: 04-Mar-2023].
  10. "RTS Spices," RTS Spices, [Online]. Available: https://rtsspices.com/. [Accessed: 04-Mar-2023].
  11. "Major Export Markets," Sri Lanka Business, [Online]. Available: https://www.srilankabusiness.com/spices/major-export-markets.html. [Accessed: 04-Mar-2023].
  12. "PepperCinna," PepperCinna, [Online]. Available: https://peppercinna.com/. [Accessed: 04-Mar-2023].
  13. "Spices in Sri Lanka," Next Travel Sri Lanka, [Online]. Available: https://nexttravelsrilanka.com/spices-sri-lanka/. [Accessed: 04-Mar-2023].
  14. "Imperial Spices," Imperial Teas Group, [Online]. Available: https://www.imperialteasgroup.com/imperial-spices. [Accessed: 04-Mar-2023].
  15. "Lak Spice," Lak Spice, [Online]. Available: https://lakspice.lk/. [Accessed: 04-Mar-2023].
  16. H. A. C. Sandamali and C. R. Liyanage, "An image processing approach to detect the quality of cinnamon sticks," in Proceedings of the International Conference on Applied and Pure Sciences (ICAPS 2021-Kelaniya), vol. 1, Faculty of Science, University of Kelaniya, Sri Lanka, 2021, pp. 75.
  17. Y. M. A. Farooq, M. M. Azooz, S. S. Alshammari, and J. H. Alotaibi, "Agricultural and Environmental Challenges in Cinnamon (Cinnamomum verum J. Presl) Cultivation: A Review," in Cinnamon: The Genus Cinnamomum, M. G. Rai, Ed. Cham: Springer International Publishing, 2019, pp. 347-364.
  18. "Industry Capability of Sri Lankan Spice Industry," Sri Lanka Business, 2023. [Online]. Available: https://www.srilankabusiness.com/spices/about/industry-capability.html. [Accessed Mar. 04, 2023].
  19. M. A. R. M. Fernando and K. G. H. G. K. Palihawadana, "Spices: Processing, Products, and Applications," in Encyclopedia of Life Support Systems (EOLSS), Food Science and Technology, M. Le Maguer, Ed. Oxford, UK: Eolss Publishers, 2010.
  20. "Cinnamon," Encyclopedia Britannica, 2022. [Online]. Available: https://www.britannica.com/plant/cinnamon. [Accessed Mar. 04, 2023].
  21. "Agriculture in Sri Lanka: Major Crops, Soil Types, and More," Agriculture Study, 2023. [Online]. Available: https://agriculturestudy.com/agriculture-in-sri-lanka-major-crops-soil-types/. [Accessed Mar. 04, 2023].
  22. S. V. Kolkure and S. S. Shaikh, "Identification And Quality Testing Of Rice Grains Using Digital Image Processing," International Journal of Innovative Research in Science, Engineering and Technology, vol. 4, no. 10, pp. 8904-8908, Oct. 2015.
  23. P. A, S. Chakraborty, A. Kumar, and O. R. Pooniwala, "Intelligent Crop Recommendation System using Machine Learning," IEEE Xplore, Apr. 01, 2021, doi: 10.1109/ICIMSYS51183.2021.9418375. 

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