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Communications in Soil Science and Plant Analysis Volume 43, 2012 - Issue 10
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Original Articles

Hyperspectral Visible and Near-Infrared Determination of Copper Concentration in Agricultural Polluted Soils

F. Antonucci CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Rome, ItalyCorrespondence[email protected]
,
P. Menesatti CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Rome, Italy
,
N. M. Holden UCD Bioresources Research Centre / Biosystems Engineering, UCD School of Agriculture, Food Science and Veterinary Medicine, University College Dublin, Dublin, Ireland
,
E. Canali CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Rome, Italy
,
S. Giorgi CRA-ING Agricultural Engineering Research Unit of the Agriculture Research Council, Rome, Italy
,
A. Maienza DIBAF Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Viterbo, Italy
&
S. R. Stazi DIBAF Department for Innovation in Biological, Agro-Food and Forest Systems, University of Tuscia, Viterbo, Italy
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Pages 1401-1411 | Received 27 Oct 2010, Accepted 27 May 2011, Published online: 08 May 2012

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Silvia Rita Stazi, Francesca Antonucci, Federico Pallottino, Corrado Costa, Rosita Marabottini, Maurizio Petruccioli & Paolo Menesatti. (2014) Hyperspectral Visible–Near Infrared Determination of Arsenic Concentration in Soil. Communications in Soil Science and Plant Analysis 45:22, pages 2911-2920.
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Articles from other publishers (16)

A. Kolobaric, D. Cozzolino & J. Chapman. 2023. Chemometric Methods in Forensic Science. Chemometric Methods in Forensic Science 254 293 .
Rohollah Goodarzi, Behnam Asghari Beirami, Mahmod Reza Sahebi & Mehdi Mokhtarzade. (2023) Evaluation of regression models' accuracy for estimating soil heavy metals content from topographic rectified satellite imagery (Case study: Irankouh from Iran). Advances in Space Research 72:2, pages 409-425.
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Yangxi Zhang, Lifei Wei, Qikai Lu, Yanfei Zhong, Ziran Yuan, Zhengxiang Wang, Zhongqiang Li & Yujing Yang. (2023) Mapping soil available copper content in the mine tailings pond with combined simulated annealing deep neural network and UAV hyperspectral images. Environmental Pollution 320, pages 120962.
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Zijin Bian, Lina Sun, Kang Tian, Benle Liu, Biao Huang & Longhua Wu. (2022) Estimation of multi-media metal(loid)s around abandoned mineral processing plants using hyperspectral technology and extreme learning machine. Environmental Science and Pollution Research.
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Jianhong Zhang, Min Wang, Keming Yang, Bing Wu, Yaxing Li, Yanru Li & Qianqian Han. (2022) Predicting Copper and Lead Concentration in Crops Using Reflectance Spectroscopy Associated With Intrinsic Wavelength-Scale Decomposition Spectral Transformation. IEEE Access 10, pages 52258-52272.
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Pavel A. Dmitriev, Boris L. Kozlovsky, Denis P. Kupriushkin, Vladimir S. Lysenko, Vishnu D. Rajput, Maria A. Ignatova, Ekaterina P. Tarik, Olga A. Kapralova, Valeriy K. Tokhtar, Anil Kumar Singh, Tatiana Minkina, Tatiana V. Varduni, Meenakshi Sharma, Ajay Kumar Taloor & Asha Thapliyal. (2022) Identification of species of the genus Acer L. using vegetation indices calculated from the hyperspectral images of leaves. Remote Sensing Applications: Society and Environment 25, pages 100679.
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Xiyue Jia, David O’Connor, Zhou Shi & Deyi Hou. (2021) VIRS based detection in combination with machine learning for mapping soil pollution. Environmental Pollution 268, pages 115845.
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Laura GIAGNONI, Cosimo TAITI, Paloma LEÓN, Corrado COSTA, Paolo MENESATTI, Rafael ESPEJO, Clara GÓMEZ-PACCARD, Chiquinquirá HONTORIA, Eduardo VÁZQUEZ, Marta BENITO, Stefano MANCUSO & Giancarlo RENELLA. (2020) Volatile organic compound emission and biochemical properties of degraded Ultisols ameliorated by no tillage and liming. Pedosphere 30:5, pages 597-606.
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Bing Lu, Phuong Dao, Jiangui Liu, Yuhong He & Jiali Shang. (2020) Recent Advances of Hyperspectral Imaging Technology and Applications in Agriculture. Remote Sensing 12:16, pages 2659.
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Johanna Salmelin, Ilkka Pölönen, Hannu-Heikki Puupponen, Heikki Hämäläinen, Anna K. Karjalainen, Ari Väisänen & Kari-Matti Vuori. (2018) Hyperspectral Imaging of Macroinvertebrates—a Pilot Study for Detecting Metal Contamination in Aquatic Ecosystems. Water, Air, & Soil Pollution 229:9.
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Ting Wang, Hong Wei, Cui Zhou, Yanwen Gu, Rui Li, Hongchun Chen & Wenchao Ma. (2017) Estimating cadmium concentration in the edible part of Capsicum annuum using hyperspectral models. Environmental Monitoring and Assessment 189:11.
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Jia-Huan Qu, Da-Wen Sun & Hongbin Pu. (2017) Vis/NIR Chemical Imaging Technique for Predicting Sodium Humate Contents in Aquaculture Environment. Water, Air, & Soil Pollution 228:5.
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Paolo Febbi, Paolo Menesatti, Corrado Costa, Luigi Pari & Massimo Cecchini. (2015) Automated determination of poplar chip size distribution based on combined image and multivariate analyses. Biomass and Bioenergy 73, pages 1-10.
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Hong-Ju He, Di Wu & Da-Wen Sun. (2014) Rapid and non-destructive determination of drip loss and pH distribution in farmed Atlantic salmon (Salmo salar) fillets using visible and near-infrared (Vis–NIR) hyperspectral imaging. Food Chemistry 156, pages 394-401.
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Hakan Arslan, Mehmet Tasan, Demet Yildirim, Eyüp Selim Koksal & Bilal Cemek. (2014) Predicting field capacity, wilting point, and the other physical properties of soils using hyperspectral reflectance spectroscopy: two different statistical approaches. Environmental Monitoring and Assessment 186:8, pages 5077-5088.
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Mohammed Kamruzzaman, Da-Wen Sun, Gamal ElMasry & Paul Allen. (2013) Fast detection and visualization of minced lamb meat adulteration using NIR hyperspectral imaging and multivariate image analysis. Talanta 103, pages 130-136.
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