Agri Sage: A Mobile Application for Agricultural Disease Detection, E-Commerce, and Real-Time Information Systems
This paper introduces Agri Sage, a mobile application aimed at addressing critical challenges in modern agriculture. Agri Sage integrates real-time plant disease detection using machine learning, an e-commerce platform for agricultural products, and weather updates alongside government pricing and subsidy information. Leveraging TensorFlow Lite for image analysis, the app diagnoses plant diseases even under suboptimal image conditions. The e-commerce platform allows farmers to connect with buyers and manage bulk transactions, while real-time weather and government data help farmers make informed decisions. This holistic approach enhances farm management, boosts productivity, and makes technology accessible to farmers in diverse environments. Extensive testing of Agri Sage demonstrated its efficacy in real-world applications, particularly in improving crop health and market access.
Authors
- Jamila Mustafina (ORCID: https://orcid.org/0000-0001-5770-4111)
- Muhammad Talha Aslam (ORCID: https://orcid.org/0009-0000-0630-1961)
- Shatha Ghareeb
Institutions
- Kazan Federal University (RU)
- Teesside University (GB)
Publication Details
- Published
- 2024-11-06
- DOI
- https://doi.org/10.1109/dese63988.2024.10912052
- Citations
- 2
- Primary Topic
- Smart Agriculture and AI
- Type
- article
- Field-Weighted Citation Impact
- 1.20