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ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin
《环境科学与工程前沿(英文)》 2008年 第2卷 第2期 页码 187-197 doi: 10.1007/s11783-008-0004-1
关键词: Spectral multi-seasonal hyperspectral invasive JR re-analysed
Feature extraction of hyperspectral images for detecting immature green citrus fruit
Yongjun DING, Won Suk LEE, Minzan LI
《农业科学与工程前沿(英文)》 2018年 第5卷 第4期 页码 475-484 doi: 10.15302/J-FASE-2018241
At an early immature growth stage of citrus, a hyperspectral camera of 369–1042 nm was employed to acquire 30 hyperspectral images in order to detect immature green fruit within citrus trees under natural illumination conditions. First, successive projections algorithm (SPA) were implemented to select 677, 804, 563, 962, and 405 nm wavebands and to construct multispectral images from the original hyperspectral images for further processing. Then, histogram threshold segmentation using NDVI of 804 and 677 nm was implemented to remove image backgrounds. Three slope parameters, calculated from the pairs 405 and 563 nm, 563 and 677 nm, and 804 and 962 nm were used to construct a classifier to identify the potential citrus fruit. Then, a marker-controlled watershed segmentation based on wavelet transform was applied to obtain potential fruit areas. Finally, a green fruit detection model was constructed according to Grey Level Co-occurrence Matrix (GLCM) texture features of the independent areas. Three supervised classifiers, logistic regression, random forest and support vector machine (SVM) were developed using texture features. The detection accuracies were 79%, 75%, and 86% for the logistic regression, random forest, and SVM models, respectively. The developed algorithm showed a great potential for identifying immature green citrus for an early yield estimation.
关键词: hyperspectral green citrus image processing fruit detection precision agriculture yield mapping
Optimization for operating modes based on simulation of seasonal underground thermal energy storage
ZHAO Jun, CHEN Yan, LI Xinguo
《能源前沿(英文)》 2008年 第2卷 第3期 页码 298-301 doi: 10.1007/s11708-008-0053-y
Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR
Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE
《农业科学与工程前沿(英文)》 2019年 第6卷 第2期 页码 172-180 doi: 10.15302/J-FASE-2019256
Huanglongbing (HLB, citrus greening) is one of the most serious quarantine diseases of citrus worldwide. To monitor in real-time, recognize diseased trees, and efficiently prevent and control HLB disease in citrus, it is necessary to develop a rapid diagnostic method to detect HLB infected plants without symptoms. This study used Newhall navel orange plants as the research subject, and collected normal color leaf samples and chlorotic leaf samples from a healthy orchard and an HLB-infected orchard, respectively. First, hyperspectral data of the upper and lower leaf surfaces were obtained, and then the polymerase chain reaction (PCR) was used to detect the HLB bacterium in each leaf. The PCR test results showed that all samples from the healthy orchard were negative, and a portion of the samples from the infected orchard were positive. According to these results, the leaf samples from the orchards were divided into disease-free leaves and HLB-positive leaves, and the least squares support vector machine recognition model was established based on the leaf hyperspectral reflectance. The effect on the model of the spectra obtained from the upper and lower leaf surfaces was investigated and different pretreatment methods were compared and analyzed. It was observed that the HLB recognition rate values of the calibration and validation sets based on upper leaf surface spectra under 9-point smoothing pretreatment were 100% and 92.5%, respectively. The recognition rate values based on lower leaf surface spectra under the second-order derivative pretreatment were also 100% and 92.5%, respectively. Both upper and lower leaf surface spectra were available for recognition of HLB-infected leaves, and the HLB PCR-positive leaves could be distinguished from the healthy by the hyperspectral modeling analysis. The results of this study show that early and nondestructive detection of HLB-infected leaves without symptoms is possible, which provides a basis for the hyperspectral diagnosis of citrus with HLB.
Zulkarnain ABBAS, Yong LI, Ruzhu WANG
《能源前沿(英文)》 2021年 第15卷 第2期 页码 328-344 doi: 10.1007/s11708-020-0676-1
关键词: seasonal cold energy storage borehole heat exchangers typical meteorological data TRNSYS condenser cooling techno-economic assessment
Xiu-rui GENG,Lu-yan JI,Kang SUN
《信息与电子工程前沿(英文)》 2016年 第17卷 第5期 页码 403-412 doi: 10.1631/FITEE.1600028
关键词: Non-negative matrix factorization (NMF) Principal component analysis (PCA) Endmember Hyperspectral
计算成像领域新理论和新方法 Review
Xue-mei HU, Jia-min WU, Jin-li SUO, Qiong-hai DAI
《信息与电子工程前沿(英文)》 2017年 第18卷 第9期 页码 1207-1221 doi: 10.1631/FITEE.1700211
Seasonal and treatment-process variations in invertebrates in drinking water treatment plants
Zhiling Wu, Xianchun Tang, Hongbin Chen
《环境科学与工程前沿(英文)》 2021年 第15卷 第4期 doi: 10.1007/s11783-020-1354-6
关键词: Invertebrates Drinking water Seasonal variations Treatment process
Zhe LI , Jinsong GUO , Man LONG , Fang FANG , Jinping SHENG , Hong ZHOU ,
《环境科学与工程前沿(英文)》 2009年 第3卷 第3期 页码 334-340 doi: 10.1007/s11783-009-0039-y
关键词: Three Gorges Reservoir eutrophication nitrogen phosphorus seasonal variation chlorophyll
Spatial and seasonal variations in bacterial communities of the Yellow Sea by T-RFLP analysis
Hongyuan WANG, Xiaolu JIANG, Ya HE, Huashi GUAN
《环境科学与工程前沿(英文)》 2009年 第3卷 第2期 页码 194-199 doi: 10.1007/s11783-009-0018-3
关键词:
terminal restriction fragment length polymorphism (T-RFLP)
bacterial community structure
marine microbial diversity
Xinquan ZHAO, Liang ZHAO, Qi LI, Huai CHEN, Huakun ZHOU, Shixiao XU, Quanmin DONG, Gaolin WU, Yixin HE
《农业科学与工程前沿(英文)》 2018年 第5卷 第1期 页码 1-8 doi: 10.15302/J-FASE-2018203
关键词: ecosystem function grassland degradation grassland management integrated rangeland-cropland-livestock production system Qinghai–Tibetan Plateau
K. Dhineka , M. Sambandam , S. K. Sivadas , T. Kaviarasan , Umakanta Pradhan , Mehmuna Begum , Pravakar Mishra , M. V. Ramana Murthy
《环境科学与工程前沿(英文)》 2022年 第16卷 第1期 页码 10-10 doi: 10.1007/s11783-021-1444-0
In view of increasing Microplastics (MPs) contamination in the marine environment and dearth of baseline data, a study was conducted on the abundance, characterization, and seasonal distribution of MPs in the nearshore sediments of the south-east coast of India. Sediment samples (n = 130) were collected at a distance of 1 km and 10 km from the shore region at varying depths (8–45 m) along the Chennai to Puducherry coast (165 km stretch), representing two seasons, i.e., south-west (July 2019 and July 2020) and north-east (January 2020) monsoons. The average abundance of MPs at the 22 offshore sites along the Chennai to Puducherry coast varied from 9±4.3 to 19±12.9 particles/50 g dry weight, in July 2019 and January 2020, respectively. July 2020 had an average abundance of 10±4.5 particles/50 g dry weight. Spatially, high levels of MPs were found at 1km stations and transects in proximity to the river inlets, and temporally, the north-east month recorded the maximum concentration. The dominant morphotype was the filament, and the major polymers were polyethylene and polypropylene. Scanning Electron Microscope (SEM) images revealed the surface irregularity and degradation of MPs due to weathering. The study highlights that high sediment contamination by MPs occurs during heavy rainfall and accumulates closer to river inlets. Eventually, this study suggests that appropriate management of plastic wastes on the landside will reduce MP contamination in the marine environment.
Seasonal variations of transport pathways andpotential sources of PM
Yuan Chen, Shaodong Xie, Bin Luo
《环境科学与工程前沿(英文)》 2018年 第12卷 第1期 doi: 10.1007/s11783-018-1009-z
关键词: Transport pathway Backwardtrajectory Clustering analysis Potential source Chengdu
高分辨率光谱视频采集 Review
Lin-sen CHEN, Tao YUE, Xun CAO, Zhan MA, David J. BRADY
《信息与电子工程前沿(英文)》 2017年 第18卷 第9期 页码 1250-1260 doi: 10.1631/FITEE.1700098
Nitrogen pollution and source identification of urban ecosystem surface water in Beijing
Yufen REN, Zhiwei XU, Xinyu ZHANG, Xiaoke WANG, Xiaomin SUN, D. J. BALLANTINE, Shengzhong WANG
《环境科学与工程前沿(英文)》 2014年 第8卷 第1期 页码 106-116 doi: 10.1007/s11783-012-0474-z
关键词: nitrogen concentration spatial and seasonal variation stable nitrogen isotope urban ecosystem source
标题 作者 时间 类型 操作
Spectral characteristics of plant communities from salt marshes: A case study from Chongming Dongtan, Yangtze estuary, China
ZHANG Liquan, GAO Zhanguo, Armitage Richard, Kent Martin
期刊论文
Feature extraction of hyperspectral images for detecting immature green citrus fruit
Yongjun DING, Won Suk LEE, Minzan LI
期刊论文
Optimization for operating modes based on simulation of seasonal underground thermal energy storage
ZHAO Jun, CHEN Yan, LI Xinguo
期刊论文
Detection of Huanglongbing (citrus greening) based on hyperspectral image analysis and PCR
Kejian WANG, Dongmei GUO, Yao ZHANG, Lie DENG, Rangjin XIE, Qiang LV, Shilai YI, Yongqiang ZHENG, Yanyan MA, Shaolan HE
期刊论文
Numerical simulation of underground seasonal cold energy storage for a 10 MW solar thermal power plant
Zulkarnain ABBAS, Yong LI, Ruzhu WANG
期刊论文
Non-negativematrix factorization based unmixing for principal component transformed hyperspectral data
Xiu-rui GENG,Lu-yan JI,Kang SUN
期刊论文
Seasonal and treatment-process variations in invertebrates in drinking water treatment plants
Zhiling Wu, Xianchun Tang, Hongbin Chen
期刊论文
Seasonal variation of nitrogen and phosphorus in Xiaojiang River—A tributary of the Three Gorges Reservoir
Zhe LI , Jinsong GUO , Man LONG , Fang FANG , Jinping SHENG , Hong ZHOU ,
期刊论文
Spatial and seasonal variations in bacterial communities of the Yellow Sea by T-RFLP analysis
Hongyuan WANG, Xiaolu JIANG, Ya HE, Huashi GUAN
期刊论文
Using balance of seasonal herbage supply and demand to inform sustainable grassland management on the
Xinquan ZHAO, Liang ZHAO, Qi LI, Huai CHEN, Huakun ZHOU, Shixiao XU, Quanmin DONG, Gaolin WU, Yixin HE
期刊论文
Characterization and seasonal distribution of microplastics in the nearshore sediments of the south-east
K. Dhineka , M. Sambandam , S. K. Sivadas , T. Kaviarasan , Umakanta Pradhan , Mehmuna Begum , Pravakar Mishra , M. V. Ramana Murthy
期刊论文
Seasonal variations of transport pathways andpotential sources of PM
Yuan Chen, Shaodong Xie, Bin Luo
期刊论文