Variational Autoencoders Capture Plant Biomolecular Stress Information

Anoop C. Patil

Keywords: Raman spectroscopy, Variational Autoencoders, Unsupervised learning, Plant stress, Deep learning, Precision agriculture.

TL;DR: This paper presents an unsupervised deep learning framework using Variational Autoencoders (VAEs) to categorize plant stress responses from Raman spectra across multiple species and stress conditions.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 215