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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM44598

Smart grow: Machine Learning for Sustainable Agriculture Innovation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM44598

Volume:

9 |

4 |

Apr 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM44598

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.

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Authors

PV

P. Vishnu

DVT

D. Vishnu Teja

SVT

S. Vishnu Teja

VRK

V. Rama Krishna

CVR(PGTS(

CH. Vishnuvardhan Reddy (Students) Prof. G. Teja Sree (Guide)

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Abstract

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

Machine Learning Precision Farming Smart Agriculture Crop Recommendation Disease Detection Yield Forecasting Market Price Prediction Soil Health Analysis

Cite This Article

P. Vishnu, D. Vishnu Teja, S. Vishnu Teja, V. Rama Krishna, CH. Vishnuvardhan Reddy (Students) Prof. G. Teja Sree (Guide), "Smart grow: Machine Learning for Sustainable Agriculture Innovation," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 4, Apr 2025. https://doi.org/10.55041/IJSREM44598

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Publication Date

4/14/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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