Construction of deep learning-based disease detection model in plants
Abstract Accurately detecting disease occurrences of crops in early stage is essential for quality and yield of crops through the decision of an appropriate treatments. However, detection of disease needs specialized knowledge and long-term experiences in plant pathology. Thus, an automated system f...
Main Authors: | Minah Jung, Jong Seob Song, Ah-Young Shin, Beomjo Choi, Sangjin Go, Suk-Yoon Kwon, Juhan Park, Sung Goo Park, Yong-Min Kim |
---|---|
Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2023-05-01
|
Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-023-34549-2 |
Similar Items
-
Two long read-based genome assembly and annotation of polyploidy woody plants, Hibiscus syriacus L. using PacBio and Nanopore platforms
by: Hyunjin Koo, et al.
Published: (2023-10-01) -
Satisfaction with life and the risk of occupational injury
by: Sung-Min Park, et al.
Published: (2018-08-01) -
Pan-chloroplast genomes for accession-specific marker development in Hibiscus syriacus
by: Sangjin Go, et al.
Published: (2024-02-01) -
bsamGP: An R Package for Bayesian Spectral Analysis Models Using Gaussian Process Priors
by: Seongil Jo, et al.
Published: (2019-07-01) -
A Study on Cryptocurrency Log-Return Price Prediction Using Multivariate Time-Series Model
by: Sang-Ha Sung, et al.
Published: (2022-09-01)