Farmer’s Pal

Year : 2025 | Volume : 14 | Issue : 02 | Page : 19-31
    By

    Rahil Naik,

  • Sanket Deshmukh,

  • Harsh Khantwa,

  • Dhanashri Sakhare,

  1. Research Scholar, Dept. Computer Engineering Pillai Hoc college of Engineering and technology (Mumbai University) Rasayani, India, ,
  2. Research Scholar, Dept. Computer Engineering Pillai Hoc college of Engineering and technology (Mumbai University) Rasayani, India, ,
  3. Research Scholar, Dept. Computer Engineering Pillai Hoc college of Engineering and technology (Mumbai University) Rasayani, India, ,
  4. Professor, Dept. Computer Engineering Pillai Hoc college of Engineering and technology (Mumbai University) Rasayani, India, ,

Abstract

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Precision agriculture, characterized by data-driven decision-making, has transformed contemporary farming practices. To increase agricultural sustainability and efficiency, this abstract investigates the combination of sensor monitoring, machine learning, and picture processing. A network of sensors continuously collects vital environmental data, including temperature, humidity, rainfall, sunshine, soil moisture, and conductivity, for precision agriculture. By providing real-time insights, these sensors enable farmers to make informed choices about pest control, fertilization, and irrigation. This data-driven approach maximizes crop yields while reducing resource waste. Machine learning algorithms scrutinize the sensor data, assimilating historical patterns and refining crop management strategies. Through the consideration of variables like weather forecasts and soil conditions, these algorithms forecast crop growth, enabling farmers to devise cultivation plans adeptly.Moreover, image processing technology assumes a pivotal role in predicting crop diseases. Utilizing phone cameras, farmers capture high-resolution field images, subsequently processed to detect disease symptoms, nutrient deficiencies, or pest invasions. This preemptive identification facilitates targeted interventions, mitigating crop loss and diminishing reliance on chemical treatments.In conclusion, precision agriculture reimagines farming practices by utilizing sensor monitoring, machine learning, and image processing.. It equips farmers with real-time data for informed decision-making, thereby augmenting crop yields, resource efficiency, and sustainability in agriculture

Keywords: Precision agriculture, Sensor monitoring, Machine learning, Crop prediction, Image processing, Disease detection, Crop health monitoring

[This article belongs to Research & Reviews : Journal of Agricultural Science and Technology ]

How to cite this article:
Rahil Naik, Sanket Deshmukh, Harsh Khantwa, Dhanashri Sakhare. Farmer’s Pal. Research & Reviews : Journal of Agricultural Science and Technology. 2025; 14(02):19-31.
How to cite this URL:
Rahil Naik, Sanket Deshmukh, Harsh Khantwa, Dhanashri Sakhare. Farmer’s Pal. Research & Reviews : Journal of Agricultural Science and Technology. 2025; 14(02):19-31. Available from: https://journals.stmjournals.com/rrjoast/article=2025/view=0


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References

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Regular Issue Subscription Review Article
Volume 14
Issue 02
Received 08/03/2025
Accepted 10/04/2025
Published 25/04/2025
Publication Time 48 Days
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