MangoWise: Intelligent Farming Assistance for Budding, Planting, and Disease Prevention

Yasantha Mihiran P.PFaculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri LankaSanjula Dulshan I.GFaculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri LankaLakshan H.A.DFaculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri LankaDilsha Thathsarani W.HFaculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri LankaAruna Ishara GamageFaculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri LankaThilini JayalathFaculty of Computing, Sri Lanka Institute of Information Technology, New Kandy RD, Malabe, Sri Lanka

Vol 7 No 10 (2023): Volume 7, Issue 10, October 2023 | Pages: 170-176

International Research Journal of Innovations in Engineering and Technology

OPEN ACCESS | Research Article | Published Date: 29-10-2023

doi Logo doi.org/10.47001/IRJIET/2023.710022

Abstract

This study introduces MangoWise, an intelligent farming application that integrates technology and agriculture to support mango cultivation. MangoWise provides disease diagnosis, fertilization advice, mango variety identification and market analysis. The methodology includes CNN-based disease detection, CNN architecture for budding, market analysis using various models and a soil analysis system for optimal fertilizer recommendations. The results show high accuracy in disease detection, budding time detection and market analysis. MangoWise provides a comprehensive solution for mango farmers, addressing various aspects of cultivation, thereby contributing to the advancement of agriculture and technological integration.

Keywords

Mango disease, CNN, budding, machine learning, image processing, IOT, market analysis


Citation of this Article

Yasantha Mihiran P.P, Sanjula Dulshan I.G, Lakshan H.A.D, Dilsha Thathsarani W.H, Aruna Ishara Gamage, Thilini Jayalath, “MangoWise: Intelligent Farming Assistance for Budding, Planting, and Disease Prevention” Published in International Research Journal of Innovations in Engineering and Technology - IRJIET, Volume 7, Issue 10, pp 170-176, October 2023. Article DOI https://doi.org/10.47001/IRJIET/2023.710022

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