Citrus Pests and Diseases Recognition Model Using Weakly Dense Connected Convolution Network
Pests and diseases can cause severe damage to citrus fruits. Farmers used to rely on experienced experts to recognize them, which is a time consuming and costly process. With the popularity of image sensors and the development of computer vision technology, using convolutional neural network (CNN) m...
Main Authors: | Shuli Xing, Marely Lee, Keun-kwang Lee |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
|
Series: | Sensors |
Subjects: | |
Online Access: | https://www.mdpi.com/1424-8220/19/14/3195 |
Similar Items
-
Classification Accuracy Improvement for Small-Size Citrus Pests and Diseases Using Bridge Connections in Deep Neural Networks
by: Shuli Xing, et al.
Published: (2020-09-01) -
Integrated Pest Management of Citrus Mealybug
by: Kerns, David L.
Published: (2004) -
Pest Management and Yield Enhancement Qualities of Particle Film Technologies in Citrus
by: Kerns, David L., et al.
Published: (2002) -
Pest categorisation of ‘Blight and blight‐like’ diseases of citrus
by: EFSA Panel on Plant Health (PLH), et al.
Published: (2018-04-01) -
Comparison of mineral oil spray with current synthetic pesticides to control important pests in citrus orchards and their side effects
by: Mohammad Reza Damavandian
Published: (2016-06-01)