Tomato disease detection with lightweight recurrent and convolutional deep learning models for sustainable and smart agriculture

被引：1
|
作者：
Le, An Thanh [1 ]
Shakiba, Masoud [1 ]
Ardekani, Iman [1 ,2 ]
机构：
[1] Unitec Te Pukenga, Sch Comp Elect & Appl Technol, Auckland, New Zealand
[2] Univ Notre Dame Australia, Sch Arts & Sci, Fremantle, WA, Australia
来源：
FRONTIERS IN SUSTAINABILITY | 2024年 / 5卷
关键词：
smart agriculture; plant disease detection; deep learning; Convolutional Neural Network; Recurrent Neural Network; Liquid Time-Constant Networks; internet of things; sustainable agriculture;
D O I：
10.3389/frsus.2024.1383182
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
[No abstract available]
引用
收藏
页数：6
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