Integrating deep learning for visual question answering in Agricultural Disease Diagnostics: Case Study of Wheat Rust

Integrating deep learning for visual question answering in Agricultural Disease Diagnostics: Case Study of Wheat Rust

Abstract This paper presents a novel approach to agricultural disease diagnostics through the integration of Deep Learning (DL) techniques with Visual Question Answering (VQA) systems, specifically targeting the detection of wheat rust. Wheat rust is a pervasive and destructive disease that signific...

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Bibliographic Details
Main Authors: Akash Nanavaty, Rishikesh Sharma, Bhuman Pandita, Ojasva Goyal, Srinivas Rallapalli, Murari Mandal, Vaibhav Kumar Singh, Pratik Narang, Vinay Chamola
Format: Article
Language:English
Published: Nature Portfolio 2024-11-01
Series:Scientific Reports
Subjects:
Deep learning
Plant Disease
Visual question answering
Wheat rust
Online Access:https://doi.org/10.1038/s41598-024-79793-2
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https://doi.org/10.1038/s41598-024-79793-2

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