Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Fanguo Zeng"'
Autor:
Ziyu Ding, Fanguo Zeng, Haifeng Li, Jianyu Zheng, Junzhi Chen, Biao Chen, Wenshan Zhong, Xuantian Li, Zhangying Wang, Lifei Huang, Xuejun Yue
Publikováno v:
Frontiers in Plant Science, Vol 15 (2024)
IntroductionSweetpotato virus disease (SPVD) is widespread and causes significant economic losses. Current diagnostic methods are either costly or labor-intensive, limiting both efficiency and scalability.MethodsThe segmentation algorithm proposed in
Externí odkaz:
https://doaj.org/article/9dcb95f972a844fb8ad12d1aae65feef
Autor:
Xuejun Yue, Haifeng Li, Qingkui Song, Fanguo Zeng, Jianyu Zheng, Ziyu Ding, Gaobi Kang, Yulin Cai, Yongda Lin, Xiaowan Xu, Chaoran Yu
Publikováno v:
Agronomy, Vol 14, Iss 3, p 618 (2024)
Existing disease detection models for deep learning-based monitoring and prevention of pepper diseases face challenges in accurately identifying and preventing diseases due to inter-crop occlusion and various complex backgrounds. To address this issu
Externí odkaz:
https://doaj.org/article/78882cef2e0d4dfbb2e2912b491fa9ad
Autor:
Jiayi Xiao, Gaobi Kang, Linhui Wang, Yongda Lin, Fanguo Zeng, Jianyu Zheng, Rong Zhang, Xuejun Yue
Publikováno v:
Agronomy, Vol 13, Iss 12, p 2866 (2023)
Lychee is an economically important crop with widespread popularity. However, lychee diseases significantly impact both the yield and fruit quality of lychee. Existing lychee disease detection models face challenges such as large parameter sizes, slo
Externí odkaz:
https://doaj.org/article/d896afb0a4084a4b8f8a64d2de3984d2
Autor:
Fanguo Zeng, Ziyu Ding, Qingkui Song, Jiayi Xiao, Jianyu Zheng, Haifeng Li, Zhongxia Luo, Zhangying Wang, Xuejun Yue, Lifei Huang
Publikováno v:
Agronomy, Vol 13, Iss 11, p 2801 (2023)
The sweet potato is an essential food and economic crop that is often threatened by the devastating sweet potato virus disease (SPVD), especially in developing countries. Traditional laboratory-based direct detection methods and field scouting are co
Externí odkaz:
https://doaj.org/article/eb69add7e67b4df6bac38d2607786545
Publikováno v:
Plants, Vol 12, Iss 8, p 1595 (2023)
Rice lodging seriously affects rice quality and production. Traditional manual methods of detecting rice lodging are labour-intensive and can result in delayed action, leading to production loss. With the development of the Internet of Things (IoT),
Externí odkaz:
https://doaj.org/article/77411c32fff1426c80132be77a421a9c
Publikováno v:
Applied Sciences, Vol 11, Iss 3, p 972 (2021)
Significant intensification in livestock farming has become prevalent to meet the increasing meat production demand, resulting in a higher density of pigs in relatively small areas in a commercial swine building. The subsequent challenges of maintain
Externí odkaz:
https://doaj.org/article/b615137782184aaa801e903cd59b3a8f
Publikováno v:
Applied Sciences, Vol 10, Iss 18, p 6433 (2020)
We, the authors, wish to make the following corrections to our paper [...]
Externí odkaz:
https://doaj.org/article/22595538add440b893247fdc39e57a4c
Publikováno v:
Applied Sciences, Vol 10, Iss 14, p 4839 (2020)
The traditional method used to determine the moisture content of tea leaves is time consuming and destructive. To address this problem, an effective and non-destructive prediction method based on near-infrared spectroscopy (NIRS) is proposed in this
Externí odkaz:
https://doaj.org/article/dda040ea7fde4e36a381891a3bba91c4
Publikováno v:
Applied Sciences, Vol 10, Iss 8, p 2967 (2020)
Since the first proposal to use spray-dried porcine plasma (SDPP) as an animal-based protein source feed additive for piglets in the late 1980s, a large number of studies have been published on the promotion effect of SDPP on piglets. SDPP contains b
Externí odkaz:
https://doaj.org/article/c3ba12dd04374f418eda09565497ac35
Publikováno v:
Applied Sciences, Vol 9, Iss 8, p 1530 (2019)
Seed purity is a key indicator of crop seed quality. The conventional methods for cultivar identification are time-consuming, expensive, and destructive. Fourier transform near-infrared (FT-NIR) spectroscopy combined with discriminant analyses, was s
Externí odkaz:
https://doaj.org/article/aced83d7ece645f0af1b468d3d3bebe1