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

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

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.

Country : Sri Lanka

1 Yasantha Mihiran P.P2 Sanjula Dulshan I.G3 Lakshan H.A.D4 Dilsha Thathsarani W.H5 Aruna Ishara Gamage6 Thilini Jayalath

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

IRJIET, Volume 7, Issue 10, October 2023 pp. 170-176

doi.org/10.47001/IRJIET/2023.710022

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References

  1. N. Petrellis, "Plant Disease Diagnosis Based on Image Processing, Appropriate for Mobile Phone Implementation," 2015.
  2. R. R. Al, "Plant Disease Detection Using Machine Learning," in International Conference on Design Innovations for 3Cs Compute Communicate Control, 2018.
  3. M. Meena, K. V. S. and G. M., "Plant Diseases Detection Using Deep Learning," IEEE, 2022.
  4. Ulvi and M. A., "Mango budding," Indian Farming, vol. 1, 1940.
  5. A.S. A. F. N. D. S. A. J. M. D. S. P. M. O. and L. C. S. , "Visual Trunk Detection Using Transfer Learning and a Deep Learning-Based Coprocessor," IEEE Access, vol. 8, 2020.
  6. B. S. Y. I. and B. , "Tree trunk texture classification using multi-scale statistical macro binary patterns and CNN," IEEE, 2020.
  7. K. K. H. M. R. and D. A. M. D. S. , "Dynamics of Mango Value Chain," in Department of Agribusiness Management.
  8. R. S. A. T. and P. J. G. , "Mango Classification using Convolutional Neural Networks," International Research Journal of Engineering and Technology (IRJET), 2018.
  9. R. S. T. L. and Y. Y. , "An attribution-based pruning method for real-time mango," Computers and Electronics in Agriculture, vol. 169, 2020.
  10. "Best Fertilizer for Mango Tree: When to Apply and How To Apply," Agri Farming, [Online]. Available: ttps://www.agrifarming.in/best-fertilizer-formango-tree-when-to-apply-and-how-toapply.
  11. K. H. S. Peiris, "The Mango in the Democratic Socialist Republic of Sri Lanka," Researchgate, vol. 19, 2016.
  12. K. K. G. T. C. U. C. R. S. and P. K. , "Smart and Precision Polyhouse Farming Using Visible Light Communication and Internet of Things," Intelligent Computing and Information and Communication, vol. 673, 2018.
  13. F. Silva, "Smart fertilizer recommendation through NPK analysis using Artificial Neural Networks," in Strathmore University, Nairobi, 2019.
  14. C. P. S. M. and B. V. , "CNN based Traffic Sign Classification using Adam Optimizer," in International Conference on Intelligent Computing and Control Systems (ICCS), 2019.
  15. P. Balamurugan, "Assistant Professor, PG & Research Department of Computer Science, Coimbatore," Color Image Processing.
  16. U. S. S. S. A. M. C. K. D. H. L. A. B. L. A. and W. M. K. S. S. W. F., "Smart Intelligent Floriculture Assistant Agent (SIFAA)," in International Conference on Advancements in Computing (ICAC).

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