Automatic recognition of strawberry diseases and pests using convolutional neural network
In this study, convolutional neural network (CNN) was used to classify and recognize the strawberry diseases and pests which cause tremendous economic losses for farmers. Based on AlexNet, the goal of this paper is to improve the recognition algorithm of strawberry diseases and pests by using the fo...
Main Authors: | Cheng Dong, Zhiwang Zhang, Jun Yue, Li Zhou |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2021-12-01
|
Series: | Smart Agricultural Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375521000095 |
Similar Items
-
Detection of Strawberry Diseases Using a Convolutional Neural Network
by: Jia-Rong Xiao, et al.
Published: (2020-12-01) -
Image Classification of Pests with Residual Neural Network Based on Transfer Learning
by: Chen Li, et al.
Published: (2022-04-01) -
An Efficient Approach for Crops Pests Recognition and Classification Based on Novel DeepPestNet Deep Learning Model
by: Naeem Ullah, et al.
Published: (2022-01-01) -
Research on Recognition Model of Crop Diseases and Insect Pests Based on Deep Learning in Harsh Environments
by: Yong Ai, et al.
Published: (2020-01-01) -
Automatic Pharyngeal Phase Recognition in Untrimmed Videofluoroscopic Swallowing Study Using Transfer Learning with Deep Convolutional Neural Networks
by: Ki-Sun Lee, et al.
Published: (2021-02-01)