MRI
MRI India Journals Vol. 14 No. 1 (2025)

Agri-Sense Combines Agriculture and Intelligence

Authors

  • Kalpana Malpe Assistant Professor, Suryodaya College of Engineering and Technology/ Computer Engineering, Nagpur, India
  • Shantanu Kholkute Suryodaya College of Engineering and Technology/Computer Engineering, Nagpur, India  
  • Vaibhav Gaidhane Suryodaya College of Engineering and Technology/Computer Engineering, Nagpur, India
  • Udyan Deshmukh Suryodaya College of Engineering and Technology/Computer Engineering, Nagpur, India
  • Ayush khadgi Suryodaya College of Engineering and Technology/Computer Engineering, Nagpur, India

DOI:

https://doi.org/10.65521/ijeecs.v14i1.421

Keywords:

Smart Crop Selection Fertilizer Guidance Crop Disease Diagnostics Weather Forecasting

Abstract

This web-based platform is an innovative solution aimed at helping farmers optimize agricultural practices through data-driven insights. It offers multiple features, including crop analysis by evaluating soil and pH levels, soil chemical composition analysis for fertilizer recommendations, plant disease detection through image-based diagnostics, and weather forecasting for better planning. By leveraging artificial intelligence and data analytics, the platform ensures that farmers receive accurate recommendations on suitable crops, necessary soil treatments, and preventive disease measures. Additionally, real-time weather updates assist in planning irrigation and harvesting strategies. With its user-friendly interface and scientific approach, this platform aims to enhance productivity, reduce losses, and promote sustainable farming. Furthermore, soil recommendations are generated through an in-depth evaluation of soil composition, moisture content, and nutrient levels, offering tailored fertilization and irrigation strategies for sustainable farming. The system also incorporates AI-powered disease detection, utilizing image processing and predictive analytics to diagnose crop infections early, enabling swift intervention to prevent large-scale damage.

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Published

2025-05-23

How to Cite

Malpe, K., Kholkute, S., Gaidhane, V., Deshmukh, U., & khadgi, A. (2025). Agri-Sense Combines Agriculture and Intelligence. International Journal of Electrical, Electronics and Computer Systems, 14(1), 152–155. https://doi.org/10.65521/ijeecs.v14i1.421

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