Hyperspectral Classification of Frost Damage Stress in Tomato Plants Based on Few-Shot Learning

Hyperspectral Classification of Frost Damage Stress in Tomato Plants Based on Few-Shot Learning

Early detection and diagnosis of crop anomalies is crucial for enhancing crop yield and quality. Recently, the combination of machine learning and deep learning with hyperspectral images has significantly improved the efficiency of crop detection. However, acquiring a large amount of properly annota...

Full description

Bibliographic Details
Main Authors: Shiwei Ruan, Hao Cang, Huixin Chen, Tianying Yan, Fei Tan, Yuan Zhang, Long Duan, Peng Xing, Li Guo, Pan Gao, Wei Xu
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Agronomy
Subjects:
tomato plants
frost damage stress
hyperspectral
few-shot learning
meta-learning strategy
Online Access:https://www.mdpi.com/2073-4395/13/9/2348

Internet

https://www.mdpi.com/2073-4395/13/9/2348

Similar Items