Zobrazeno 1 - 10
of 837
pro vyhledávání: '"Leaf chlorophyll content"'
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-13 (2024)
Abstract Leaf chlorophyll content (LCC) is crucial for monitoring the physiological processes of crops. Many studies have utilized spectral features to develop regression models for accurate LCC estimation, enabling the quantitative assessment and ev
Externí odkaz:
https://doaj.org/article/247fa58a62464c8ebbd3f5b92d01239e
Autor:
Bitopi Biswas, Mohammad Tariful Alam Khan, Mohammad Billal Hossain Momen, Mohammad. Rashedur Rahman Tanvir, Abu Mohammad Shahidul Alam, M Robiul Islam Islam
Publikováno v:
Research in Agricultural Engineering, Vol 70, Iss 3, Pp 155-166 (2024)
The research was conducted at the Department of Agronomy and Agricultural Extension, Rajshahi University, from December 2021 to April 2022. The objective was to develop a fuzzy expert system for site-specific N fertilisation using leaf colour code (R
Externí odkaz:
https://doaj.org/article/53b5280f3b9c4538b65eb09ea763f10a
Autor:
Xun Zhao, Jianbo Qi, Jingyi Jiang, Shangbo Liu, Haifeng Xu, Simei Lin, Zhexiu Yu, Linyuan Li, Huaguo Huang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 135, Iss , Pp 104285- (2024)
Leaf chlorophyll content (LCC) retrieval from remote sensing imagery is essential for monitoring vegetation growth and stress in the agroforestry industry. Many remote sensing inversion methods for estimating LCC primarily rely on 1D radiative transf
Externí odkaz:
https://doaj.org/article/68dcdd9b2c694958b6cb4cd7fd16555d
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104052- (2024)
Accurate and non-destructive estimation of leaf chlorophyll content (LCC) is crucial for optimizing cotton production. This study enhances the SCOPE model by integrating unmanned aerial vehicle (UAV)-derived multispectral data with leaf area index (L
Externí odkaz:
https://doaj.org/article/f19eeaa9b2df4ff193aaacc1cebfe9da
Autor:
Tian, Fengkai a, Zhou, Jianfeng b, ⁎, Ransom, Curtis J. c, Aloysius, Noel a, Sudduth, Kenneth A. c
Publikováno v:
In Smart Agricultural Technology March 2025 10
Autor:
Xingjiao Yu, Xuefei Huo, Long Qian, Yiying Du, Dukun Liu, Qi Cao, Wen’e Wang, Xiaotao Hu, Xiaofei Yang, Shaoshuai Fan
Publikováno v:
Agriculture, Vol 14, Iss 11, p 2004 (2024)
The leaf area index (LAI) and leaf chlorophyll content (LCC) are key indicators of crop photosynthetic efficiency and nitrogen status. This study explores the integration of UAV-based multispectral (MS) and thermal infrared (TIR) data to improve the
Externí odkaz:
https://doaj.org/article/1c25050044f54032b93e2d2ccd2625a3
Autor:
Xiaohan Wang, Jing Li, Hu Zhang, Qinhuo Liu, Liangyun Liu, Chenpeng Gu, Faisal Mumtaz, Jing Zhao, Yadong Dong, Junhua Bai, Tianjia Chu, Chang Liu, Li Guan, Wenjiang Huang
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 130, Iss , Pp 103930- (2024)
Leaf chlorophyll content (LCC) is crucial in plant physiology and ecological research. Although several LCC products have recently been generated at a regional or global scale, understanding their accuracy is still a concern in the scientific communi
Externí odkaz:
https://doaj.org/article/8bbdacb5a1384f8d859170fb01225765
Publikováno v:
GCB Bioenergy, Vol 16, Iss 5, Pp n/a-n/a (2024)
Abstract For sustainable biomass production of Miscanthus × giganteus (hereafter miscanthus), understanding the impact of stand age and nitrogen (N) fertilization on biomass yield is crucial. This study investigated the effects of varying N fertiliz
Externí odkaz:
https://doaj.org/article/5549a249a1c040beb80fa9ba83e84584
Publikováno v:
Forestry Research, Vol 4, Iss 1, Pp 1-10 (2024)
Chinese fir is the most important native softwood tree in China and has significant economic and ecological value. Accurate assessment of the growth status is critical for both seedling cultivation and germplasm evaluation of this commercially signif
Externí odkaz:
https://doaj.org/article/4c787c38c9cc41029af85ba42b1f81a1