Zobrazeno 1 - 10
of 36
pro vyhledávání: '"Meiyan Shu"'
Publikováno v:
Journal of Remote Sensing, Vol 4 (2024)
Rapid and nondestructive monitoring of the temporal dynamic changes of agronomic traits of lodging maize is crucial for evaluating the growth recovery status. The purpose of this study is to assess the time-series changes in maize growth recovery aft
Externí odkaz:
https://doaj.org/article/a836a4f30c804037926f569f4df0d934
Publikováno v:
BMC Infectious Diseases, Vol 23, Iss 1, Pp 1-7 (2023)
Abstract Backgrounds Refractory Mycoplasma pneumoniae pneumonia (RMPP) cause damage of pulmonary function and physical therapy assisting medical treatment is needed. Objective The aim of this study was to investigate the effect of interesting respira
Externí odkaz:
https://doaj.org/article/f095cd9903d94599b72317f11e64600f
Autor:
Jianing Shen, Qilei Wang, Meng Zhao, Jingyu Hu, Jian Wang, Meiyan Shu, Yang Liu, Wei Guo, Hongbo Qiao, Qinglin Niu, Jibo Yue
Publikováno v:
Drones, Vol 8, Iss 4, p 140 (2024)
Maize is a globally important cereal and fodder crop. Accurate monitoring of maize planting densities is vital for informed decision-making by agricultural managers. Compared to traditional manual methods for collecting crop trait parameters, approac
Externí odkaz:
https://doaj.org/article/0e608d3387884c2a919a7c4b055f130e
Autor:
Heguang Sun, Lin Zhou, Meiyan Shu, Jie Zhang, Ziheng Feng, Haikuan Feng, Xiaoyu Song, Jibo Yue, Wei Guo
Publikováno v:
Agriculture, Vol 14, Iss 3, p 476 (2024)
Southern blight significantly impacts peanut yield, and its severity is exacerbated by high-temperature and high-humidity conditions. The mycelium attached to the plant’s interior quickly proliferates, contributing to the challenges of early detect
Externí odkaz:
https://doaj.org/article/ee3fce8372a8405ca37ac4721b8a6caf
Publikováno v:
Frontiers in Plant Science, Vol 13 (2022)
Estimation of the amino acid content in maize leaves is helpful for improving maize yield estimation and nitrogen use efficiency. Hyperspectral imaging can be used to obtain the physiological and biochemical parameters of maize leaves with the advant
Externí odkaz:
https://doaj.org/article/ec2bfd8987ff4daa807b8ca82b194594
Publikováno v:
Plant Phenomics, Vol 2022 (2022)
High-throughput estimation of phenotypic traits from UAV (unmanned aerial vehicle) images is helpful to improve the screening efficiency of breeding maize. Accurately estimating phenotyping traits of breeding maize at plot scale helps to promote gene
Externí odkaz:
https://doaj.org/article/ff0b58e78ca14ddba82174656d365790
Autor:
Shuaipeng Fei, Muhammad Adeel Hassan, Yuntao Ma, Meiyan Shu, Qian Cheng, Zongpeng Li, Zhen Chen, Yonggui Xiao
Publikováno v:
Frontiers in Plant Science, Vol 12 (2021)
Crop breeding programs generally perform early field assessments of candidate selection based on primary traits such as grain yield (GY). The traditional methods of yield assessment are costly, inefficient, and considered a bottleneck in modern preci
Externí odkaz:
https://doaj.org/article/f48ffe248f634273b200802391ad079e
Autor:
Xingmei Xu, Lu Wang, Meiyan Shu, Xuewen Liang, Abu Zar Ghafoor, Yunling Liu, Yuntao Ma, Jinyu Zhu
Publikováno v:
Remote Sensing, Vol 14, Iss 21, p 5388 (2022)
Leaf age is an important trait in the process of maize (Zea mays L.) growth. It is significant to estimate the seed activity and yield of maize by counting leaves. Detection and counting of the maize leaves in the field are very difficult due to the
Externí odkaz:
https://doaj.org/article/ced235d7f8de4b65a7d059843da1efd1
Autor:
Meiyan Shu, Mengyuan Shen, Jinyu Zuo, Pengfei Yin, Min Wang, Ziwen Xie, Jihua Tang, Ruili Wang, Baoguo Li, Xiaohong Yang, Yuntao Ma
Publikováno v:
Plant Phenomics, Vol 2021 (2021)
Crop traits such as aboveground biomass (AGB), total leaf area (TLA), leaf chlorophyll content (LCC), and thousand kernel weight (TWK) are important indices in maize breeding. How to extract multiple crop traits at the same time is helpful to improve
Externí odkaz:
https://doaj.org/article/eda26c079fd847dcbda092bb7d8ff49d
Autor:
Shuaipeng Fei, Muhammad Adeel Hassan, Zhonghu He, Zhen Chen, Meiyan Shu, Jiankang Wang, Changchun Li, Yonggui Xiao
Publikováno v:
Remote Sensing, Vol 13, Iss 12, p 2338 (2021)
Grain yield is increasingly affected by climate factors such as drought and heat. To develop resilient and high-yielding cultivars, high-throughput phenotyping (HTP) techniques are essential for precise decisions in wheat breeding. The ability of unm
Externí odkaz:
https://doaj.org/article/4a0d254adae94f17bf5fa4150a5c5310