Tomato Leaf Diseases Classification Based on Leaf Images: A Comparison between Classical Machine Learning and Deep Learning Methods
Tomato production can be greatly reduced due to various diseases, such as bacterial spot, early blight, and leaf mold. Rapid recognition and timely treatment of diseases can minimize tomato production loss. Nowadays, a large number of researchers (including different institutes, laboratories, and un...
Main Authors: | Lijuan Tan, Jinzhu Lu, Huanyu Jiang |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-07-01
|
Series: | AgriEngineering |
Subjects: | |
Online Access: | https://www.mdpi.com/2624-7402/3/3/35 |
Similar Items
-
Review on Convolutional Neural Network (CNN) Applied to Plant Leaf Disease Classification
by: Jinzhu Lu, et al.
Published: (2021-07-01) -
An Experimental Comparison between Deep Learning and Classical Machine Learning Approaches for Writer Identification in Medieval Documents
by: Nicole Dalia Cilia, et al.
Published: (2020-09-01) -
Deep transformer and few‐shot learning for hyperspectral image classification
by: Qiong Ran, et al.
Published: (2023-12-01) -
Incorporating Handcrafted Features into Deep Learning for Point Cloud Classification
by: Pai-Hui Hsu, et al.
Published: (2020-11-01) -
A Review of Leaf Diseases Detection and Classification by Deep Learning
by: Assad Souleyman Doutoum, et al.
Published: (2023-01-01)