SMART AGRO - Digitalization of Agricultural Production, Distribution, and Marketing Management System to Forecast and Promote Sri Lankan Agricultural Products

Abstract

SMART AGRO is a web-based platform developed to revolutionize agricultural production, distribution, and marketing management in Sri Lanka, with a primary focus on paddy production. This platform utilizes various DL and ML technologies, such as RNN, AI, CNN, ANN, and LSTM to provide advanced functionalities. One of the key features of SMART AGRO is its paddy demand forecasting module. This module leverages historical harvest data from previous years to predict future demand. By analysing trends and patterns in the data, the platform can provide accurate forecasts, aiding farmers and stakeholders in making informed decisions regarding production and distribution. Another important aspect of SMART AGRO is its cost estimation functionality. This feature utilizes past costing data to estimate the expenses associated with paddy production. By considering factors as labor, equipment, fertilizers, and other inputs, the platform can provide farmers with a comprehensive cost estimate for their production activities. To enhance security and user access control, SMART AGRO implements multifactor authentication with face recognition. This ensures that only authorized users can access the paddy demand forecasting and cost estimation functions of the platform. Additionally, SMART AGRO includes a communication platform that facilitates knowledge sharing among users. This platform utilizes AI chat capabilities to enable users to interact with the system and seek information or assistance. Moreover, an email server is employed for knowledge-sharing purposes, allowing users to exchange information, documents, and best practices related to agricultural practices. By combining advanced technologies like DL and ML with features such as demand forecasting, cost estimation, and knowledge sharing, SMART AGRO aims to optimize agricultural practices, improve decision-making processes, and enhance productivity within the Sri Lankan paddy farming industry.

Country : Sri Lanka

1 Thathsarani D.M.T.2 Chamathka Sumanasiri M.G.D.3 Adikaram V.I.4 Thennakoon T.M.P.B.5 Kanishka Yapa6 J.M.Dulani Maheshika Jayasinghe

  1. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology , Malabe, Sri Lanka
  2. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology , Malabe, Sri Lanka
  3. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology , Malabe, Sri Lanka
  4. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology , Malabe, Sri Lanka
  5. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology , Malabe, Sri Lanka
  6. Department of Information Technology, Faculty of Computing, Sri Lanka Institute of Information Technology , Malabe, Sri Lanka

IRJIET, Volume 7, Issue 10, October 2023 pp. 523-531

doi.org/10.47001/IRJIET/2023.710069

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