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

A Comprehensive Result Paper on CropShield: Predictive Modeling for Price and Plant Health

Authors

  • S. T. Shirkande Principal, S. B. Patil College of Engineering
  • Deshmukh Mayur Maruti Department of computer Engineering, Savitribai Phule Pune University
  • Jagtap Pratiksha Balasaheb Department of computer Engineering, Savitribai Phule Pune University
  • Londhe Sakshi Narayan Department of computer Engineering, Savitribai Phule Pune University
  • Zinjade Dilip Mahadev Department of computer Engineering, Savitribai Phule Pune University

DOI:

https://doi.org/10.65521/ijacect.v14i1.541

Keywords:

Crop Price Prediction Leaf Disease Detection CNN AI in Agri culture

Abstract

The project,” CropShield: Price Prediction and Disease
Detection for Smart Pesticide Advisory” provides an AI
powered system to support farmers and officials in decision
making. It features crop price prediction, offering future
market estimates based on historical and regional data, and
leaf disease detection using CNNs to identify diseases from
images and recommend treatments. Talathi contribute
regional data, ensuring accurate predictions. The platform
also integrates weather forecasts and government schemes,
enhancing its utility. With a user-friendly interface and con
tinuous model refinement, this solution aims to boost crop
yield, reduce losses, and improve price management in
agriculture, ultimately advancing productivity and economic
stability

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Published

2025-06-01

How to Cite

Shirkande, S. T., Maruti, D. M., Balasaheb, J. P., Narayan, L. S., & Mahadev, Z. D. (2025). A Comprehensive Result Paper on CropShield: Predictive Modeling for Price and Plant Health . International Journal on Advanced Computer Engineering and Communication Technology, 14(1), 406–412. https://doi.org/10.65521/ijacect.v14i1.541

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