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Michelle L Harvey, Natalie E Gasz & Sasha C Voss. (2016) Entomology-based methods for estimation of postmortem interval. Research and Reports in Forensic Medical Science 6, pages 1-9.
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A.R. Stilwell, G.L. Hein, A.I. Zygielbaum & D.C. Rundquist. (2013) Proximal sensing to detect symptoms associated with wheat curl mite-vectored viruses. International Journal of Remote Sensing 34:14, pages 4951-4966.
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Panagiotis Kanatas, Vasilis Ntaoulis, Ioannis Gazoulis, Athanasios Andreou, Marios Danaskos, Dimitrios Mpounanos, Eleni-Anna Karanika, Panayiota Papastylianou & Ilias Travlos. (2023) Seed Germination and Plant Growth under Drought Stress of Herbicide-Resistant and Herbicide-Susceptible Biotypes of Conyza Species and Smart Farming Approaches. Agrochemicals 2:3, pages 436-445.
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Rijad Sarić, Viet D. Nguyen, Timothy Burge, Oliver Berkowitz, Martin Trtílek, James Whelan, Mathew G. Lewsey & Edhem Čustović. (2022) Applications of hyperspectral imaging in plant phenotyping. Trends in Plant Science 27:3, pages 301-315.
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Anton Terentev, Viktor Dolzhenko, Alexander Fedotov & Danila Eremenko. (2022) Current State of Hyperspectral Remote Sensing for Early Plant Disease Detection: A Review. Sensors 22:3, pages 757.
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Erika S Peirce, Darren M Cockrell, Esten Mason, Scott Haley, Frank Peairs & Punya Nachappa. (2022) Solid Stems and Beyond: Challenges and Future Directions of Resistance to Wheat Stem Sawfly (Hymenoptera: Cephidae). Journal of Integrated Pest Management 13:1.
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Fernando H Iost Filho, Wieke B Heldens, Zhaodan Kong & Elvira S de Lange. (2020) Drones: Innovative Technology for Use in Precision Pest Management. Journal of Economic Entomology 113:1, pages 1-25.
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Brooke Bruning, Bettina Berger, Megan Lewis, Huajian Liu & Trevor Garnett. (2020) Approaches, applications, and future directions for hyperspectral vegetation studies: An emphasis on yield‐limiting factors in wheat. The Plant Phenome Journal 3:1.
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Alex Okiemute Onojeghuo, George Alan Blackburn, Jingfeng Huang, Daniel Kindred & Wenjiang Huang. (2018) Applications of satellite ‘hyper-sensing’ in Chinese agriculture: Challenges and opportunities. International Journal of Applied Earth Observation and Geoinformation 64, pages 62-86.
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Bo Liu, Wenjing Shen, Yue-min Yue, Ru Li, Qingxi Tong & Bing Zhang. (2016) Combining spatial and spectral information to estimate chlorophyll contents of crop leaves with a field imaging spectroscopy system. Precision Agriculture 18:4, pages 491-506.
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Hongyan Zhu, Bingquan Chu, Chu Zhang, Fei Liu, Linjun Jiang & Yong He. (2017) Hyperspectral Imaging for Presymptomatic Detection of Tobacco Disease with Successive Projections Algorithm and Machine-learning Classifiers. Scientific Reports 7:1.
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Sasha C. Voss, Paola Magni, Ian Dadour & Christian Nansen. (2016) Reflectance-based determination of age and species of blowfly puparia. International Journal of Legal Medicine 131:1, pages 263-274.
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Mohamad Awad. (2016) New mathematical models to estimate wheat Leaf Chlorophyll Content based on Artificial Neural Network and remote sensing data. New mathematical models to estimate wheat Leaf Chlorophyll Content based on Artificial Neural Network and remote sensing data.
Daniel Cozzolino & Jessica Roberts. (2016) Applications and Developments on the Use of Vibrational Spectroscopy Imaging for the Analysis, Monitoring and Characterisation of Crops and Plants. Molecules 21:6, pages 755.
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Christian Nansen. (2016) The potential and prospects of proximal remote sensing of arthropod pests. Pest Management Science 72:4, pages 653-659.
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Christian NansenNorman Elliott. (2016) Remote Sensing and Reflectance Profiling in Entomology. Annual Review of Entomology 61:1, pages 139-158.
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Christian Nansen, Jerome Gumley, Lloyd Groves, Maria Nansen, Dustin Severtson & Thomas James Ridsdill-Smith. (2015) Development of “best practices” for sampling of an important surface-dwelling soil mite in pastoral landscapes. Experimental and Applied Acarology 66:3, pages 399-414.
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Xuechen Zhang, Christian Nansen, Nader Aryamanesh, Guijun Yan & Farid Boussaid. (2015) Importance of Spatial and Spectral Data Reduction in the Detection of Internal Defects in Food Products. Applied Spectroscopy 69:4, pages 473-480.
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Bo Liu, Yue-Min Yue, Ru Li, Wen-Jing Shen & Ke-Lin Wang. (2014) Plant Leaf Chlorophyll Content Retrieval Based on a Field Imaging Spectroscopy System. Sensors 14:10, pages 19910-19925.
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Christian Nansen, Xuechen Zhang, Nader Aryamanesh & Guijun Yan. (2014) Use of variogram analysis to classify field peas with and without internal defects caused by weevil infestation. Journal of Food Engineering 123, pages 17-22.
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Christian Nansen, Leandro Delalibera Geremias, Yingen Xue, Fangneng Huang & Jose Roberto Parra. (2013) Agricultural Case Studies of Classification Accuracy, Spectral Resolution, and Model Over-Fitting. Applied Spectroscopy 67:11, pages 1332-1338.
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Christian NansenAloisio Coelho, Jaci M. Vieira & Jose R.P. Parra. (2013)
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Christian Nansen. (2012) Use of Variogram Parameters in Analysis of Hyperspectral Imaging Data Acquired from Dual-Stressed Crop Leaves. Remote Sensing 4:1, pages 180-193.
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Anne-Katrin Mahlein, Ulrike Steiner, Christian Hillnhütter, Heinz-Wilhelm Dehne & Erich-Christian Oerke. (2012) Hyperspectral imaging for small-scale analysis of symptoms caused by different sugar beet diseases. Plant Methods 8:1, pages 3.
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Christian Nansen. (2011) Robustness of analyses of imaging data. Optics Express 19:16, pages 15173.
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M. Mirik, D. C. Jones, J. A. Price, F. Workneh, R. J. Ansley & C. M. Rush. (2011)
Satellite Remote Sensing of Wheat Infected by
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Christian NansenAmelia Jorge SidumoSergio Capareda. (2010) Variogram Analysis of Hyperspectral Data to Characterize the Impact of Biotic and Abiotic Stress of Maize Plants and to Estimate Biofuel Potential. Applied Spectroscopy 64:6, pages 627-636.
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Christian Nansen, Noureddine Abidi, Amelia Jorge Sidumo & Ali Hosseini Gharalari. (2010) Using Spatial Structure Analysis of Hyperspectral Imaging Data and Fourier Transformed Infrared Analysis to Determine Bioactivity of Surface Pesticide Treatment. Remote Sensing 2:4, pages 908-925.
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