Improving Indian Agriculture: How Personalized Recommendations Can Empower Farmers

Year : 2025 | Volume : 16 | Issue : 01 | Page : 13 17
    By

    Vikas K. Ranher,

  • Rayyan F. Chhapekar,

  • Nupur S. Mhatre,

  • Rutika S. Mohite,

  1. Student, Department of Computer Engineering, VPM’s Maharshi Parshuram College of Engineering, Velneshwar, Maharashtra, India
  2. Student, Department of Computer Engineering, VPM’s Maharshi Parshuram College of Engineering, Velneshwar, Maharashtra, India
  3. Student, Department of Computer Engineering, VPM’s Maharshi Parshuram College of Engineering, Velneshwar, Maharashtra, India
  4. Student, Department of Computer Engineering, VPM’s Maharshi Parshuram College of Engineering, Velneshwar, Maharashtra, India

Abstract

With millions of jobs and a major contribution to the wealth of the nation, farming is a vital sector of the Indian economy. Nevertheless, a lot of small and marginal farmers face issues that keep them from making enough money. They frequently lack access to critical knowledge on government assistance, new tools, fertilizers, and soil health, making farming difficult for them. Farmers also face issues such as unstable water availability, low soil quality, and unpredictable weather. Many people are unsure of which crops are best suited to their soil or which fertilizers to use for optimum results. This is where technology can be useful. A crop recommendation system considers soil nutrients (nitrogen, phosphorus, and potassium), temperature, humidity, pH, and rainfall. It then recommends the appropriate crops and fertilizers based on the farmer’s individual requirements. Farmers that employ such equipment can grow better crops, use their resources more efficiently, and raise their income. Farming may be made easier, more profitable, and more productive with this straightforward yet efficient method. This not only improves farmers’ lives but also accelerates India’s agricultural growth.

Keywords: Indian economy, farmers, fertilizers, soil health, crop

[This article belongs to Journal of Electronic Design Technology ]

How to cite this article:
Vikas K. Ranher, Rayyan F. Chhapekar, Nupur S. Mhatre, Rutika S. Mohite. Improving Indian Agriculture: How Personalized Recommendations Can Empower Farmers. Journal of Electronic Design Technology. 2025; 16(01):13-17.
How to cite this URL:
Vikas K. Ranher, Rayyan F. Chhapekar, Nupur S. Mhatre, Rutika S. Mohite. Improving Indian Agriculture: How Personalized Recommendations Can Empower Farmers. Journal of Electronic Design Technology. 2025; 16(01):13-17. Available from: https://journals.stmjournals.com/joedt/article=2025/view=208842


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Regular Issue Subscription Review Article
Volume 16
Issue 01
Received 23/12/2024
Accepted 29/01/2025
Published 08/02/2025
Publication Time 47 Days
210

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