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Academic Innovations

Intrinsic Explainability in Deep Learning Models

Innovator Details

Innovator
Dr. Sahely Bhadra

About

the effect of textual data from domain experts in giving user-friendly explanations by adding it to the model training architecture. We propose a customized novel model that is completely explainable and interpretable for agriculture applications that will provide fine-tuned explanations and recommendations in textual format for the presented diseased/infected leaf/plant image.
Funding Organization
Funding Organization
Department of Science and Technology (DST)
Quick Information
TRL: Technology Readiness Level
2
TIH Name
IPTIF, IIT Palakkad
Status
ongoing
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