GreenThumb Advisor: Smart Farming Solutions for Higher Yields and Informed Decisions

Authors

  • Mrs.M.Vinitha Assistant Professor, Department of CSE, RGUKT, Ongole, Andhra Pradesh, India. Author
  • Mr.Mallikarjuna Nandi Assistant Professor, Department of CSE, RGUKT, Ongole, Andhra Pradesh, India. Author
  • Dr.B.Nagaraja Naik Assistant Professor, Department of CSE, RGUKT, Ongole, Andhra Pradesh, India. Author
  • Mr.V.Baladithya Student, Department of CSE, RGUKT, Ongole, Andhra Pradesh, India. Author
  • Mr.B.Yedukondalu Naik Student, Department of CSE, RGUKT, Ongole, Andhra Pradesh, India. Author

DOI:

https://doi.org/10.47392/IRJASH.2024.049

Keywords:

Crop Selection, Farm Management, Fertilizer Recommendations, Market Price Tracking, Yield Forecasting

Abstract

GreenThumb Advisor is a Python-driven application [1] designed to enhance agricultural productivity by providing Indian farmers with actionable, data-informed insights. Leveraging advanced machine learning techniques, the application recommends optimal crop [2] selections based on vital soil and environmental indicators—such as nitrogen, phosphorus, potassium levels, pH, humidity, and rainfall—to align with region-specific conditions. Yield forecasting, powered by historical crop data, offers farmers predictive insights into potential harvest outcomes, supporting informed financial planning. In addition to crop guidance, GreenThumb Advisor integrates a 30-day weather forecast, enabling farmers to plan agricultural activities around forecasted weather patterns [3]. Real-time notifications ensure farmers receive critical updates through SMS and email, minimizing weather-related risks. The application also supports practical farm management with features such as emergency service mapping, tailored fertilizer and pesticide recommendations, market price tracking and a library of awareness videos. With its intuitive interface, GreenThumb Advisor empowers farmers to improve yield, make data-driven decisions, and foster sustainable agricultural practices.

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Published

2024-12-09