AI based rice leaf disease identification enhanced by Dynamic Mode Decomposition

Published: 01 Jan 2023, Last Modified: 10 May 2024Eng. Appl. Artif. Intell. 2023EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Analysis of the transfer learned models on rice leaf disease identification using 10 state-of-the-art DCNN models.•Development of ML-based identification models on deep features extracted from the aforementioned DCNN models.•Attention-driven preprocessing of rice-leaf disease dataset using Dynamic Mode Decomposition based ROI extraction algorithm.•Analysis of the impact of DMD preprocessed images on transfer learned DCNN classifiers and ML models.•The effectiveness of DMD pre-processed images on on-field rice leaf images was evaluated using transfer-learned DCNN models.
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