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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM44598
Volume:
9 |
4 |
Apr 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 significant challenges due to climate change, resource depletion, and volatile market conditions, threatening global food security. Smart Grow: Machine Learning for Sustainable Agriculture Innovation leverages advanced AI-driven analytics to provide farmers with actionable insights for enhanced productivity and sustainability. The system features a crop recommendation model, analysing soil nutrients and weather conditions for optimal planting decisions. A disease detection tool identifies plant diseases from leaf images and suggests treatments, minimizing crop loss. The yield prediction model forecasts productivity based on resource availability, aiding in efficient farm management. Additionally, market price prediction helps farmers determine the best time to sell their produce. With an interactive map-based soil testing locator, Smart Grow promotes precision farming, merging modern technology with traditional practices to improve sustainability, resource management, and profitability.
KEYWORDS
Publication Date
4/14/2025
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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