@article{f04ed70072ce40d2a2802ee9b31b453e,
title = "Tomato disease detection with lightweight recurrent and convolutional deep learning models for sustainable and smart agriculture",
keywords = "Convolutional Neural Network, Liquid Time-Constant Networks, Recurrent Neural Network, deep learning, internet of things, plant disease detection, smart agriculture, sustainable agriculture",
author = "Le, \{An Thanh\} and Masoud Shakiba and Iman Ardekani",
note = "Copyright the Author(s) 2024. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.",
year = "2024",
month = may,
day = "20",
doi = "10.3389/frsus.2024.1383182",
language = "English",
volume = "5",
pages = "1--6",
journal = "Frontiers in Sustainability",
issn = "2673-4524",
publisher = "Frontiers Media SA",
}