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

S. T. Shirkande; Deshmukh Mayur  Maruti; Jagtap Pratiksha Balasaheb; Londhe Sakshi Narayan; Zinjade Dilip Mahadev

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Published: Jun 1, 2025

Keywords:

Crop Price Prediction, Leaf Disease Detection, CNN, AI in Agri culture

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

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

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. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/541

Issue

Vol. 14 No. 1 (2025)

Section

Articles

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