Статті в журналах з теми "Hyperspectral Phenotyping"
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Huang, Peikui, Xiwen Luo, Jian Jin, Liangju Wang, Libo Zhang, Jie Liu, and Zhigang Zhang. "Improving High-Throughput Phenotyping Using Fusion of Close-Range Hyperspectral Camera and Low-Cost Depth Sensor." Sensors 18, no. 8 (August 17, 2018): 2711. http://dx.doi.org/10.3390/s18082711.
Повний текст джерелаSarić, Rijad, Viet D. Nguyen, Timothy Burge, Oliver Berkowitz, Martin Trtílek, James Whelan, Mathew G. Lewsey, and Edhem Čustović. "Applications of hyperspectral imaging in plant phenotyping." Trends in Plant Science 27, no. 3 (March 2022): 301–15. http://dx.doi.org/10.1016/j.tplants.2021.12.003.
Повний текст джерелаKuska, Matheus Thomas, Anna Brugger, Stefan Thomas, Mirwaes Wahabzada, Kristian Kersting, Erich-Christian Oerke, Ulrike Steiner, and Anne-Katrin Mahlein. "Spectral Patterns Reveal Early Resistance Reactions of Barley Against Blumeria graminis f. sp. hordei." Phytopathology® 107, no. 11 (November 2017): 1388–98. http://dx.doi.org/10.1094/phyto-04-17-0128-r.
Повний текст джерелаSadeghi-Tehran, Pouria, Nicolas Virlet, and Malcolm J. Hawkesford. "A Neural Network Method for Classification of Sunlit and Shaded Components of Wheat Canopies in the Field Using High-Resolution Hyperspectral Imagery." Remote Sensing 13, no. 5 (February 27, 2021): 898. http://dx.doi.org/10.3390/rs13050898.
Повний текст джерелаBrugger, Anna, Jan Behmann, Stefan Paulus, Hans-Georg Luigs, Matheus Thomas Kuska, Patrick Schramowski, Kristian Kersting, Ulrike Steiner, and Anne-Katrin Mahlein. "Extending Hyperspectral Imaging for Plant Phenotyping to the UV-Range." Remote Sensing 11, no. 12 (June 12, 2019): 1401. http://dx.doi.org/10.3390/rs11121401.
Повний текст джерелаBanerjee, Bikram P., Sameer Joshi, Emily Thoday-Kennedy, Raj K. Pasam, Josquin Tibbits, Matthew Hayden, German Spangenberg, and Surya Kant. "High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response." Journal of Experimental Botany 71, no. 15 (March 18, 2020): 4604–15. http://dx.doi.org/10.1093/jxb/eraa143.
Повний текст джерелаBehmann, Jan, Anne-Katrin Mahlein, Stefan Paulus, Heiner Kuhlmann, Erich-Christian Oerke, and Lutz Plümer. "Calibration of hyperspectral close-range pushbroom cameras for plant phenotyping." ISPRS Journal of Photogrammetry and Remote Sensing 106 (August 2015): 172–82. http://dx.doi.org/10.1016/j.isprsjprs.2015.05.010.
Повний текст джерелаOerke, Erich-Christian, Katja Herzog, and Reinhard Toepfer. "Hyperspectral phenotyping of the reaction of grapevine genotypes toPlasmopara viticola." Journal of Experimental Botany 67, no. 18 (August 27, 2016): 5529–43. http://dx.doi.org/10.1093/jxb/erw318.
Повний текст джерелаRibes, Mathieu, Gaspard Russias, Denis Tregoat, and Antoine Fournier. "Towards Low-Cost Hyperspectral Single-Pixel Imaging for Plant Phenotyping." Sensors 20, no. 4 (February 19, 2020): 1132. http://dx.doi.org/10.3390/s20041132.
Повний текст джерелаMa, Dongdong, Tanzeel U. Rehman, Libo Zhang, Hideki Maki, Mitchell R. Tuinstra, and Jian Jin. "Modeling of Environmental Impacts on Aerial Hyperspectral Images for Corn Plant Phenotyping." Remote Sensing 13, no. 13 (June 28, 2021): 2520. http://dx.doi.org/10.3390/rs13132520.
Повний текст джерелаMa, Dongdong, Liangju Wang, Libo Zhang, Zhihang Song, Tanzeel U. Rehman, and Jian Jin. "Stress Distribution Analysis on Hyperspectral Corn Leaf Images for Improved Phenotyping Quality." Sensors 20, no. 13 (June 30, 2020): 3659. http://dx.doi.org/10.3390/s20133659.
Повний текст джерелаFan, Jiahao, Jing Zhou, Biwen Wang, Natalia de Leon, Shawn M. Kaeppler, Dayane C. Lima, and Zhou Zhang. "Estimation of Maize Yield and Flowering Time Using Multi-Temporal UAV-Based Hyperspectral Data." Remote Sensing 14, no. 13 (June 25, 2022): 3052. http://dx.doi.org/10.3390/rs14133052.
Повний текст джерелаRehman, Tanzeel U., Libo Zhang, Dongdong Ma, and Jian Jin. "Common Latent Space Exploration for Calibration Transfer across Hyperspectral Imaging-Based Phenotyping Systems." Remote Sensing 14, no. 2 (January 11, 2022): 319. http://dx.doi.org/10.3390/rs14020319.
Повний текст джерелаWang, Jian, Bizhi Wu, Markus V. Kohnen, Daqi Lin, Changcai Yang, Xiaowei Wang, Ailing Qiang, et al. "Classification of Rice Yield Using UAV-Based Hyperspectral Imagery and Lodging Feature." Plant Phenomics 2021 (March 30, 2021): 1–14. http://dx.doi.org/10.34133/2021/9765952.
Повний текст джерелаLeucker, Marlene, Anne-Katrin Mahlein, Ulrike Steiner, and Erich-Christian Oerke. "Improvement of Lesion Phenotyping in Cercospora beticola–Sugar Beet Interaction by Hyperspectral Imaging." Phytopathology® 106, no. 2 (February 2016): 177–84. http://dx.doi.org/10.1094/phyto-04-15-0100-r.
Повний текст джерелаJiménez, Juan de la Cruz, Luisa Leiva, Juan A. Cardoso, Andrew N. French, and Kelly R. Thorp. "Proximal sensing of Urochloa grasses increases selection accuracy." Crop and Pasture Science 71, no. 4 (2020): 401. http://dx.doi.org/10.1071/cp19324.
Повний текст джерелаLu, Yuzhen, Kitt G. Payn, Piyush Pandey, Juan J. Acosta, Austin J. Heine, Trevor D. Walker, and Sierra Young. "Hyperspectral Imaging with Cost-Sensitive Learning for High-Throughput Screening of Loblolly Pine (Pinus taeda L.) Seedlings for Freeze Tolerance." Transactions of the ASABE 64, no. 6 (2021): 2045–59. http://dx.doi.org/10.13031/trans.14708.
Повний текст джерелаJin, Xiuliang, Zhenhai Li, and Clement Atzberger. "Editorial for the Special Issue “Estimation of Crop Phenotyping Traits using Unmanned Ground Vehicle and Unmanned Aerial Vehicle Imagery”." Remote Sensing 12, no. 6 (March 13, 2020): 940. http://dx.doi.org/10.3390/rs12060940.
Повний текст джерелаGrzybowski, Marcin, Nuwan K. Wijewardane, Abbas Atefi, Yufeng Ge, and James C. Schnable. "Hyperspectral reflectance-based phenotyping for quantitative genetics in crops: Progress and challenges." Plant Communications 2, no. 4 (July 2021): 100209. http://dx.doi.org/10.1016/j.xplc.2021.100209.
Повний текст джерелаReddy, Priyanka, Kathryn M. Guthridge, Joe Panozzo, Emma J. Ludlow, German C. Spangenberg, and Simone J. Rochfort. "Near-Infrared Hyperspectral Imaging Pipelines for Pasture Seed Quality Evaluation: An Overview." Sensors 22, no. 5 (March 3, 2022): 1981. http://dx.doi.org/10.3390/s22051981.
Повний текст джерелаLeucker, Marlene, Mirwaes Wahabzada, Kristian Kersting, Madlaina Peter, Werner Beyer, Ulrike Steiner, Anne-Katrin Mahlein, and Erich-Christian Oerke. "Hyperspectral imaging reveals the effect of sugar beet quantitative trait loci on Cercospora leaf spot resistance." Functional Plant Biology 44, no. 1 (2017): 1. http://dx.doi.org/10.1071/fp16121.
Повний текст джерелаChoudhury, Malini Roy, Jack Christopher, Armando Apan, Scott Chapman, Neal Menzies, and Yash Dang. "Integrated High-Throughput Phenotyping with High Resolution Multispectral, Hyperspectral and 3D Point Cloud Techniques for Screening Wheat Genotypes on Sodic Soils." Proceedings 36, no. 1 (April 8, 2020): 206. http://dx.doi.org/10.3390/proceedings2019036206.
Повний текст джерелаLiu, Huajian, Brooke Bruning, Trevor Garnett, and Bettina Berger. "The Performances of Hyperspectral Sensors for Proximal Sensing of Nitrogen Levels in Wheat." Sensors 20, no. 16 (August 13, 2020): 4550. http://dx.doi.org/10.3390/s20164550.
Повний текст джерелаVirlet, Nicolas, Kasra Sabermanesh, Pouria Sadeghi-Tehran, and Malcolm J. Hawkesford. "Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring." Functional Plant Biology 44, no. 1 (2017): 143. http://dx.doi.org/10.1071/fp16163.
Повний текст джерелаYang, Myongkyoon. "Physiological Disorder Diagnosis of Plant Leaves Based on Full-Spectrum Hyperspectral Images with Convolutional Neural Network." Horticulturae 8, no. 9 (September 19, 2022): 854. http://dx.doi.org/10.3390/horticulturae8090854.
Повний текст джерелаCheshkova, A. F. "A review of hyperspectral image analysis techniques for plant disease detection and identif ication." Vavilov Journal of Genetics and Breeding 26, no. 2 (April 5, 2022): 202–13. http://dx.doi.org/10.18699/vjgb-22-25.
Повний текст джерелаIslam ElManawy, Ahmed, Dawei Sun, Alwaseela Abdalla, Yueming Zhu, and Haiyan Cen. "HSI-PP: A flexible open-source software for hyperspectral imaging-based plant phenotyping." Computers and Electronics in Agriculture 200 (September 2022): 107248. http://dx.doi.org/10.1016/j.compag.2022.107248.
Повний текст джерелаYendrek, Craig R., Tiago Tomaz, Christopher M. Montes, Youyuan Cao, Alison M. Morse, Patrick J. Brown, Lauren M. McIntyre, Andrew D. B. Leakey, and Elizabeth A. Ainsworth. "High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance." Plant Physiology 173, no. 1 (November 15, 2016): 614–26. http://dx.doi.org/10.1104/pp.16.01447.
Повний текст джерелаMoghimi, Ali, Ce Yang, and Peter M. Marchetto. "Ensemble Feature Selection for Plant Phenotyping: A Journey From Hyperspectral to Multispectral Imaging." IEEE Access 6 (2018): 56870–84. http://dx.doi.org/10.1109/access.2018.2872801.
Повний текст джерелаRehman, Tanzeel U., and Jian Jin. "Deep adversarial domain adaptation for hyperspectral calibration model transfer among plant phenotyping systems." Biosystems Engineering 224 (December 2022): 246–58. http://dx.doi.org/10.1016/j.biosystemseng.2022.10.016.
Повний текст джерелаMa, Dongdong, Tanzeel U. Rehman, Libo Zhang, Hideki Maki, Mitchell R. Tuinstra, and Jian Jin. "Modeling of Diurnal Changing Patterns in Airborne Crop Remote Sensing Images." Remote Sensing 13, no. 9 (April 29, 2021): 1719. http://dx.doi.org/10.3390/rs13091719.
Повний текст джерелаPark, Eunsoo, Yun-Soo Kim, Mohammad Kamran Omari, Hyun-Kwon Suh, Mohammad Akbar Faqeerzada, Moon S. Kim, Insuck Baek, and Byoung-Kwan Cho. "High-Throughput Phenotyping Approach for the Evaluation of Heat Stress in Korean Ginseng (Panax ginseng Meyer) Using a Hyperspectral Reflectance Image." Sensors 21, no. 16 (August 21, 2021): 5634. http://dx.doi.org/10.3390/s21165634.
Повний текст джерелаDilmurat, Kamila, Vasit Sagan, Maitiniyazi Maimaitijiang, Stephen Moose, and Felix B. Fritschi. "Estimating Crop Seed Composition Using Machine Learning from Multisensory UAV Data." Remote Sensing 14, no. 19 (September 25, 2022): 4786. http://dx.doi.org/10.3390/rs14194786.
Повний текст джерелаMahlein, A. K., M. T. Kuska, J. Behmann, G. Polder, and A. Walter. "Hyperspectral Sensors and Imaging Technologies in Phytopathology: State of the Art." Annual Review of Phytopathology 56, no. 1 (August 25, 2018): 535–58. http://dx.doi.org/10.1146/annurev-phyto-080417-050100.
Повний текст джерелаMaimaitijiang, M., V. Sagan, S. Bhadra, C. Nguyen, T. C. Mockler, and N. Shakoor. "A FULLY AUTOMATED AND FAST APPROACH FOR CANOPY COVER ESTIMATION USING SUPER HIGH-RESOLUTION REMOTE SENSING IMAGERY." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2021 (June 17, 2021): 219–26. http://dx.doi.org/10.5194/isprs-annals-v-3-2021-219-2021.
Повний текст джерелаMoghimi, Ali, Ce Yang, and James A. Anderson. "Aerial hyperspectral imagery and deep neural networks for high-throughput yield phenotyping in wheat." Computers and Electronics in Agriculture 172 (May 2020): 105299. http://dx.doi.org/10.1016/j.compag.2020.105299.
Повний текст джерелаLiu, Huajian, Brooke Bruning, Trevor Garnett, and Bettina Berger. "Hyperspectral imaging and 3D technologies for plant phenotyping: From satellite to close-range sensing." Computers and Electronics in Agriculture 175 (August 2020): 105621. http://dx.doi.org/10.1016/j.compag.2020.105621.
Повний текст джерелаRehman, Tanzeel U., Libo Zhang, Dongdong Ma, Liangju Wang, and Jian Jin. "Calibration transfer across multiple hyperspectral imaging-based plant phenotyping systems: I – Spectral space adjustment." Computers and Electronics in Agriculture 176 (September 2020): 105685. http://dx.doi.org/10.1016/j.compag.2020.105685.
Повний текст джерелаLin, Meng-Yang, Valerie Lynch, Dongdong Ma, Hideki Maki, Jian Jin, and Mitchell Tuinstra. "Multi-Species Prediction of Physiological Traits with Hyperspectral Modeling." Plants 11, no. 5 (March 1, 2022): 676. http://dx.doi.org/10.3390/plants11050676.
Повний текст джерелаDilmurat, K., V. Sagan, and S. Moose. "AI-DRIVEN MAIZE YIELD FORECASTING USING UNMANNED AERIAL VEHICLE-BASED HYPERSPECTRAL AND LIDAR DATA FUSION." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 193–99. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-193-2022.
Повний текст джерелаZhang, Libo, Jian Jin, Liangju Wang, Tanzeel U. Rehman, and Mark T. Gee. "Elimination of Leaf Angle Impacts on Plant Reflectance Spectra Using Fusion of Hyperspectral Images and 3D Point Clouds." Sensors 23, no. 1 (December 21, 2022): 44. http://dx.doi.org/10.3390/s23010044.
Повний текст джерелаBhadra, S., V. Sagan, C. Nguyen, M. Braud, A. L. Eveland, and T. C. Mockler. "AUTOMATIC EXTRACTION OF SOLAR AND SENSOR IMAGING GEOMETRY FROM UAV-BORNE PUSH-BROOM HYPERSPECTRAL CAMERA." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-3-2022 (May 17, 2022): 131–37. http://dx.doi.org/10.5194/isprs-annals-v-3-2022-131-2022.
Повний текст джерелаProshkin, Yuriy A. "Computer Vision and Spectral Analysis Technologies for Non-Invasive Plant Studying." Elektrotekhnologii i elektrooborudovanie v APK 67, no. 2 (June 24, 2020): 107–14. http://dx.doi.org/10.22314/2658-4859-2020-67-2-107-114.
Повний текст джерелаZhang, Yi, Yizhe Yang, Qinwei Zhang, Runqing Duan, Junqi Liu, Yuchu Qin, and Xianzhi Wang. "Toward Multi-Stage Phenotyping of Soybean with Multimodal UAV Sensor Data: A Comparison of Machine Learning Approaches for Leaf Area Index Estimation." Remote Sensing 15, no. 1 (December 20, 2022): 7. http://dx.doi.org/10.3390/rs15010007.
Повний текст джерелаQiu, Wei, and Jian Jin. "MISIRoot: A Robotic, Minimally Invasive, in Situ Imaging System for Plant Root Phenotyping." Transactions of the ASABE 64, no. 5 (2021): 1647–58. http://dx.doi.org/10.13031/trans.14306.
Повний текст джерелаBehmann, J., P. Schmitter, J. Steinrücken, and L. Plümer. "Ordinal classification for efficient plant stress prediction in hyperspectral data." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-7 (September 19, 2014): 29–36. http://dx.doi.org/10.5194/isprsarchives-xl-7-29-2014.
Повний текст джерелаKoh, Joshua C. O., Bikram P. Banerjee, German Spangenberg, and Surya Kant. "Automated hyperspectral vegetation index derivation using a hyperparameter optimisation framework for high‐throughput plant phenotyping." New Phytologist 233, no. 6 (January 20, 2022): 2659–70. http://dx.doi.org/10.1111/nph.17947.
Повний текст джерелаTao, Mingzhu, Xiulin Bai, Jinnuo Zhang, Yuzhen Wei, and Yong He. "Time-Series Monitoring of Transgenic Maize Seedlings Phenotyping Exhibiting Glyphosate Tolerance." Processes 10, no. 11 (October 26, 2022): 2206. http://dx.doi.org/10.3390/pr10112206.
Повний текст джерелаBanerjee, Bikram P., Sameer Joshi, Emily Thoday-Kennedy, Raj K. Pasam, Josquin Tibbits, Matthew Hayden, German Spangenberg, and Surya Kant. "Corrigendum to: High-throughput phenotyping using digital and hyperspectral imaging-derived biomarkers for genotypic nitrogen response." Journal of Experimental Botany 72, no. 13 (May 24, 2021): 5093. http://dx.doi.org/10.1093/jxb/erab126.
Повний текст джерелаMangalraj, P., and Byoung-Kwan Cho. "Recent trends and advances in hyperspectral imaging techniques to estimate solar induced fluorescence for plant phenotyping." Ecological Indicators 137 (April 2022): 108721. http://dx.doi.org/10.1016/j.ecolind.2022.108721.
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