Plant Sentry: Web-Based AI for Crop Protection-Reference-Cited by-同舟云学术

Plant Sentry: Web-Based AI for Crop Protection

Published:2024-05-31 Issue: Volume: Page:592-597
ISSN:2581-9429
Container-title:International Journal of Advanced Research in Science, Communication and Technology
language:en
Short-container-title:IJARSCT

Author:

Ruchi Gedam ¹,Dr. Narendra G. Bawane ¹,Sanjay Balwani ¹

Affiliation:

1. Jhulelal Institute of Technology, Nagpur, Maharashtra, India

Abstract

The timely and accurate detection of plant diseases is crucial for effective crop management, mitigating yield losses, and ensuring food security. However, smallholder farmers and agricultural communities in remote areas often lack access to expert advice and advanced diagnostic tools. This thesis presents the development of a decentralized plant disease detection system, aiming to bridge this gap and empower farmers with a user-friendly and accessible solution. The proposed system is a web application that leverages cutting-edge technologies, including image processing, deep learning, and decentralized data storage. To prioritize data privacy and security, the system implements a decentralized data storage solution based on technologies such as the InterPlanetary The system's performance is evaluated through accuracy, reliability, and usability across various scenarios and environments

Publisher

Naksh Solutions

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