73 Hits in 8.9 sec

Quantitative identification of yellow rust in winter wheat with a new spectral index: Development and validation using simulated and experimental data

Yu Ren, Wenjiang Huang, Huichun Ye, Xianfeng Zhou, Huiqin Ma, Yingying Dong, Yue Shi, Yun Geng, Yanru Huang, Quanjun Jiao, Qiaoyun Xie
2021 International Journal of Applied Earth Observation and Geoinformation  
We evaluated the new index and compared it with 11 commonly used yellow rust detection indices using experimental leaf-and canopy-scale spectral datasets.  ...  In this research, we quantitatively analyzed the spectral response mechanism of wheat yellow rust, which provided a new idea for the quantitative identification of crop diseases.  ...  The author would like to thank the reviewers who provided comments and suggestions on the paper, and the people who collected the experimental data during the fieldwork.  ... 
doi:10.1016/j.jag.2021.102384 fatcat:jq3z2fal25frjlml7z4ywnilkm

New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery

Qiong Zheng, Wenjiang Huang, Ximin Cui, Yue Shi, Linyi Liu
2018 Sensors  
Yellow rust is one of the most destructive diseases for winter wheat and has led to a significant decrease in winter wheat quality and yield.  ...  rust infection severities (i.e., healthy, slight, and severe) in winter wheat.  ...  Yue Shi and Linyi Liu were involved the process of the experiment and ground data collection. All authors reviewed and approved the final manuscript.  ... 
doi:10.3390/s18030868 pmid:29543736 pmcid:PMC5877331 fatcat:er7qph7afrfmlfeey2zqugwqbe

Sino–EU Earth Observation Data to Support the Monitoring and Management of Agricultural Resources

Stefano Pignatti, Raffaele Casa, Giovanni Laneve, Zhenhai Li, Linyi Liu, Pablo Marzialetti, Nada Mzid, Simone Pascucci, Paolo Cosmo Silvestro, Massimo Tolomio, Deepak Upreti, Hao Yang (+2 others)
2021 Remote Sensing  
A k coefficient higher than 0.84 was achieved for yellow rust, thus assuring a monitoring accuracy, and for the diseased samples k was higher than 0.87.  ...  Novel approaches and algorithms to estimate crop physiological processes from Earth Observation (EO) data are essential to develop more sustainable management practices in agricultural systems.  ...  develop a model for wheat yellow rust monitoring.  ... 
doi:10.3390/rs13152889 fatcat:vgdeldhvmnhv3gzjqhlhlc2amu

Hyperspectral measurements of yellow rust and fusarium head blight in cereal crops: Part 1: Laboratory study

Rebecca L. Whetton, Kirsty L. Hassall, Toby W. Waine, Abdul M. Mouazen
2018 Biosystems Engineering  
diseases in winter wheat and winter 82 barley under laboratory conditions, with the intention to establish calibration models and a spectral library 83 for potential use under mobile on-line measurement  ...  Using a vis-NIR imaging, Bravo et al.,(2003) detected early symptoms of yellow rust on 74 winter wheat, with a quadratic discriminant model analysis, reporting a correct discrimination accuracy 75 of 92  ...  The following models 228 were developed and validated: 229 1) Yellow rust prediction in wheat and barley, estimated as % of disease symptoms spread on the leaves. 230 This was referred to as yellow rust  ... 
doi:10.1016/j.biosystemseng.2017.11.008 fatcat:d26v7atg65dmnlrqjtarkq5ngi

Monitoring Wheat Fusarium Head Blight Using Unmanned Aerial Vehicle Hyperspectral Imagery

Linyi Liu, Yingying Dong, Wenjiang Huang, Xiaoping Du, Huiqin Ma
2020 Remote Sensing  
These results demonstrate that hyperspectral images of UAVs can be used to monitor Fusarium head blight in winter wheat.  ...  The monitoring of winter wheat Fusarium head blight via rapid and non-destructive measures is important for agricultural production and disease control.  ...  It has been used in wheat yellow rust detection, wheat powdery mildew monitoring, etc.  ... 
doi:10.3390/rs12223811 fatcat:h5w2rn2nbvcbjew2ilmq46lqwu

In-field hyperspectral imaging: An overview on the ground-based applications in agriculture

Alessandro Benelli, Chiara Cevoli, Angelo Fabbri
2020 Journal of Agricultural Engineering  
The measurement of vegetation indexes that characterise the plants growth, assessing the fruit ripeness or detecting the presence of defects and diseases, is a key factor to gain high quality of fruit  ...  Many studies have been published concerning the use of hyperspectral cameras in the agronomic and food field, especially in controlled laboratory conditions.  ...  The yield and quality of winter wheat grains can also be seriously compromised by yellow rust.  ... 
doi:10.4081/jae.2020.1030 fatcat:kb6bo6hn3zag3lxetcvaryod5e

Integrating Growth and Environmental Parameters to Discriminate Powdery Mildew and Aphid of Winter Wheat Using Bi-Temporal Landsat-8 Imagery

Huiqin Ma, Wenjiang Huang, Yuanshu Jing, Chenghai Yang, Liangxiu Han, Yingying Dong, Huichun Ye, Yue Shi, Qiong Zheng, Linyi Liu, Chao Ruan
2019 Remote Sensing  
As a case study, the approach was applied to data during a period of typical co-epidemic outbreak of winter wheat powdery mildew and aphids in the Shijiazhuang area of Hebei Province, China.  ...  Then, a back propagation neural network (BPNN) based on a new training data set balanced by the SMOTE approach (SMOTE-BPNN) was developed to generate the regional wheat disease and pest distribution maps  ...  [4] determined the most sensitive wavelet features (WFs) for the identification of yellow rust and powdery mildew in winter wheat.  ... 
doi:10.3390/rs11070846 fatcat:2ujuho66pvg6fpsgy6zrdg6hvm

4th Conference of Cereal Biotechnology and Breeding (CBB4), November 6–9, 2017, Budapest, Hungary – Book of Abstracts

2017 Cereal research communications  
of the Science Committee of the Ministry of Education and Science of the Republic of Kazakhstan "Increase of carbon sequestration in chernozem soils of Northern Kazakhstan − as a basis for rational use  ...  n° 613609 Performance and selection of winter durum wheat genotypes in different European conventional and organic fields Acknowledgments The work was carried out within the framework of grant financing  ...  Within the project new crosses were carried out especially with donors for yellow rust and common bunt resistance, lodging tolerance and winter hardness.  ... 
doi:10.1556/0806.45.2017.100 fatcat:3rrvrijpwzh6ddwlbxuu4afanm

Progress in Hyperspectral Remote Sensing Science and Technology in China Over the Past Three Decades

Qingxi Tong, Yongqi Xue, Lifu Zhang
2014 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
in HRS data, allowing them to meet the demands of both common users and researchers in the scientific community.  ...  To promote the development of HRS, many generic and professional software tools have been developed.  ...  The yellow color represents the uranium deposit extracted by using the Spectral Absorption Index with data in wavelength 2.114-2.147 m and 2.336-2.367 m.  ... 
doi:10.1109/jstars.2013.2267204 fatcat:yu4pp5zyqzhafa4ec7m3vva7xi

Advanced methods of plant disease detection. A review

Federico Martinelli, Riccardo Scalenghe, Salvatore Davino, Stefano Panno, Giuseppe Scuderi, Paolo Ruisi, Paolo Villa, Daniela Stroppiana, Mirco Boschetti, Luiz R. Goulart, Cristina E. Davis, Abhaya M. Dandekar
2014 Agronomy for Sustainable Development  
; and (3) remote sensing techniques coupled with spectroscopy-based methods allow high spatialization of results, these techniques may be very useful as a rapid preliminary identification of primary infections  ...  Advanced methods of plant disease detection. A review. Agronomy for Sustainable Development, Springer Verlag/EDP Sciences/INRA, 2015, 35 (1), pp.  ...  We thank Minghua Zhang and colleagues for permission to use their data in our Fig. 4 and Jorge Torres-Sánchez and colleagues for permission to use their picture in our  ... 
doi:10.1007/s13593-014-0246-1 fatcat:sdvsemwsire5lftrc242mzxyai

Phenotypic Traits Estimation and Preliminary Yield Assessment in Different Phenophases of Wheat Breeding Experiment Based on UAV Multispectral Images

Dessislava Ganeva, Eugenia Roumenina, Petar Dimitrov, Alexander Gikov, Georgi Jelev, Rangel Dragov, Violeta Bozhanova, Krasimira Taneva
2022 Remote Sensing  
A ground dataset, collected during two field campaigns and complemented with data from a previous study, is used for model development.  ...  The utility of unmanned aerial vehicles (UAV) imagery in retrieving phenotypic data to support plant breeding research has been a topic of increasing interest in recent years.  ...  Brown rust, yellow rust, and leaf spot pathogens caused by fungal septoria (STB) pathogens were observed in the experiments at very low density during May and in relatively low density during June.  ... 
doi:10.3390/rs14041019 fatcat:s32s4c4wcfemrgwd4ki5iod7ra

A Review on the Use of Unmanned Aerial Vehicles and Imaging Sensors for Monitoring and Assessing Plant Stresses

Jayme Garcia Arnal Barbedo
2019 Drones  
Unmanned aerial vehicles (UAVs) are becoming a valuable tool to collect data in a variety of contexts.  ...  This article presents a critical overview of the main advancements on the subject, focusing on the strategies that have been used to extract the information contained in the images captured during the  ...  Conflicts of Interest: The author declares no conflict of interest.  ... 
doi:10.3390/drones3020040 fatcat:33jjpgn6rnanxgrnu7235ooymy

Prospectus of Genomic Selection and Phenomics in Cereal, Legume and Oilseed Breeding Programs

Karansher S. Sandhu, Lance F. Merrick, Sindhuja Sankaran, Zhiwu Zhang, Arron H. Carter
2022 Frontiers in Genetics  
Phenomics is a rapidly advancing domain to alleviate phenotyping bottlenecks and explores new large-scale phenotyping and data acquisition methods.  ...  Here, the status of the adoption of genomics and phenomics is provided for those crops, with a complete GS overview.  ...  It uses hundreds to thousands of genome-wide markers and previous years phenotypic data to build the GS model and predict the performance of new lines for quantitative traits (Isidro et al., 2015) .  ... 
doi:10.3389/fgene.2021.829131 fatcat:5s3lhz5cjrel7g44od4nox7ioy

Phenotyping for drought adaptation in wheat using physiological traits

Philippe Monneveux, Ruilian Jing, Satish C. Misra
2012 Frontiers in Physiology  
The use of integrative traits, facilitated by the development and application of new technologies (thermal imaging, spectral reflectance, stable isotopes) is facilitating high throughput phenotyping and  ...  , and use of phenotyping traits with high heritability.  ...  Study of water profiles (either experimentally or by using simulation models) can provide very useful information.  ... 
doi:10.3389/fphys.2012.00429 pmid:23181021 pmcid:PMC3499878 fatcat:qwjoybmcxjchhflgl2k4nz2p3q

Early Detection and Quantification of Almond Red Leaf Blotch Using High-Resolution Hyperspectral and Thermal Imagery

Manuel López-López, Rocío Calderón, Victoria González-Dugo, Pablo Zarco-Tejada, Elías Fereres
2016 Remote Sensing  
[14] and quantification of Cercospora leaf spot, leaf rust, and powdery mildew in sugar beet [15] , as well as to discriminate among yellow, leaf and stem rust in wheat [16] .  ...  Multispectral imagery enabled the detection of downy mildew in opium poppy [12] , and powdery mildew and leaf rust in wheat [13], while hyperspectral technology was used at the leaf level for early detection  ...  Acknowledgments: The experiment was carried out in the experimental farm "Alameda del Obispo" belonging to the Andalusian Institute of Agricultural Research (IFAPA).  ... 
doi:10.3390/rs8040276 fatcat:3wd7oujjpfdhfc6grefe7y5kdq
« Previous Showing results 1 — 15 out of 73 results