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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM48399
Volume:
9 |
5 |
May 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Agriculture faces growing challenges due to climate change, resource limitations, and rising global demand. AgroCare is an intelligent decision-support system designed to assist farmers through real-time crop recommendations, fertilizer suggestions, disease detection, and yield prediction. Leveraging powerful APIs like Gemini, OpenWeather, and Plant.id, combined with deep learning techniques including Convolutional Neural Networks (CNNs) and Large Language Models (LLMs), the system ensures precision and personalization. The platform features a Firebase-authenticated user interface and rich data visualizations, offering actionable insights and sustainable farming practices.
KEYWORDS
Publication Date
5/20/2025
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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No funding information available for this research.
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