Artykuły w czasopismach na temat „Citrus Classification”
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Yang, Taeyang, i Oh-Sang Kwon. "Sequential Effect on Visual Classification: The Citrus Classification Paradigm". Journal of Vision 16, nr 12 (1.09.2016): 548. http://dx.doi.org/10.1167/16.12.548.
Pełny tekst źródłaWAKATA, Tadayuki, i Miho SAITO. "Psychological classification of the citrus fragrance." Proceedings of the Annual Convention of the Japanese Psychological Association 76 (11.09.2012): 1AMA01. http://dx.doi.org/10.4992/pacjpa.76.0_1ama01.
Pełny tekst źródłaHiri, A., M. De Luca, G. Ioele, A. Balouki, M. Basbassi, F. Kzaiber, A. Oussama i G. Ragno. "Chemometric classification of citrus juices of Moroccan cultivars by infrared spectroscopy". Czech Journal of Food Sciences 33, No. 2 (3.06.2016): 137–42. http://dx.doi.org/10.17221/284/2014-cjfs.
Pełny tekst źródłaDhiman, Poonam. "Contemporary Study on Citrus Disease Classification System". ECS Transactions 107, nr 1 (24.04.2022): 10035–43. http://dx.doi.org/10.1149/10701.10035ecst.
Pełny tekst źródłaSchaad, Norman W., Elena Postnikova, George Lacy, Aaron Sechler, Irina Agarkova, Paul E. Stromberg, Verlyn K. Stromberg i Anne K. Vidaver. "Emended classification of xanthomonad pathogens on citrus". Systematic and Applied Microbiology 29, nr 8 (grudzień 2006): 690–95. http://dx.doi.org/10.1016/j.syapm.2006.08.001.
Pełny tekst źródłaSilva, Alessandra F., Ana Paula Barbosa, Célia R. L. Zimback i Paulo M. B. Landim. "Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus". Engenharia Agrícola 33, nr 6 (grudzień 2013): 1245–56. http://dx.doi.org/10.1590/s0100-69162013000600017.
Pełny tekst źródłaDorj, Ulzii-Orshikh, Uranbaigal Dejidbal, Hongseok Chae, Lkhagvadorj Batsambuu, Altanchimeg Badarch i Shinebayar Dalkhaa. "CITRUS FRUIT QUALITY CLASSIFICATION BASED ON SIZE USING DIGITAL IMAGE PROCESSING". Siberian Herald of Agricultural Science 48, nr 5 (9.01.2019): 95–101. http://dx.doi.org/10.26898/0370-8799-2018-5-12.
Pełny tekst źródłaElaraby, Ahmed, Walid Hamdy i Saad Alanazi. "Classification of Citrus Diseases Using Optimization Deep Learning Approach". Computational Intelligence and Neuroscience 2022 (10.02.2022): 1–10. http://dx.doi.org/10.1155/2022/9153207.
Pełny tekst źródłaVarjão, Jonatha Oliveira Reis, Glenda Michele Botelho, Tiago da Silva Almeida, Glêndara Aparecida de Souza Martins i Warley Gramacho da Silva. "Citrus Fruit Quality Classification using Support Vector Machines". International Journal of Advanced Engineering Research and Science 6, nr 7 (2019): 59–65. http://dx.doi.org/10.22161/ijaers.678.
Pełny tekst źródłaLee, Saebom, Gyuho Choi, Hyun-Cheol Park i Chang Choi. "Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning". Sensors 22, nr 22 (18.11.2022): 8911. http://dx.doi.org/10.3390/s22228911.
Pełny tekst źródłaMudholakar, Sunita, Kavitha G, Kanaya Kumari K T i Shubha G V. "Automatic Detection of Citrus Fruit and Leaves Diseases Using Deep Neural Network". International Journal for Research in Applied Science and Engineering Technology 10, nr 7 (31.07.2022): 4043–51. http://dx.doi.org/10.22214/ijraset.2022.45868.
Pełny tekst źródłaZia Ur Rehman, Muhammad, Fawad Ahmed, Muhammad Attique Khan, Usman Tariq, Sajjad Shaukat Jamal, Jawad Ahmad i Iqtadar Hussain. "Classification of Citrus Plant Diseases Using Deep Transfer Learning". Computers, Materials & Continua 70, nr 1 (2022): 1401–17. http://dx.doi.org/10.32604/cmc.2022.019046.
Pełny tekst źródłaShou Bo, Huang. "A Climatic Classification for Citrus Winter Survival in China". Journal of Climate 4, nr 5 (maj 1991): 550–55. http://dx.doi.org/10.1175/1520-0442(1991)004<0550:accfcw>2.0.co;2.
Pełny tekst źródłaSteuer, B., H. Schulz i E. Läger. "Classification and analysis of citrus oils by NIR spectroscopy". Food Chemistry 72, nr 1 (styczeń 2001): 113–17. http://dx.doi.org/10.1016/s0308-8146(00)00209-0.
Pełny tekst źródłaMittapelli, Suresh Reddy, Shailendar Kumar Maryada, Venkateswara Rao Khareedu i Dashavantha Reddy Vudem. "Structural organization, classification and phylogenetic relationship of cytochrome P450 genes in Citrus clementina and Citrus sinensis". Tree Genetics & Genomes 10, nr 2 (5.01.2014): 399–409. http://dx.doi.org/10.1007/s11295-013-0695-8.
Pełny tekst źródłaRauf, Hafiz Tayyab, Basharat Ali Saleem, M. Ikram Ullah Lali, Muhammad Attique Khan, Muhammad Sharif i Syed Ahmad Chan Bukhari. "A citrus fruits and leaves dataset for detection and classification of citrus diseases through machine learning". Data in Brief 26 (październik 2019): 104340. http://dx.doi.org/10.1016/j.dib.2019.104340.
Pełny tekst źródłaKhanramaki, Morteza, Ezzatollah Askari Asli-Ardeh i Ehsan Kozegar. "Citrus pests classification using an ensemble of deep learning models". Computers and Electronics in Agriculture 186 (lipiec 2021): 106192. http://dx.doi.org/10.1016/j.compag.2021.106192.
Pełny tekst źródłaJanarthan, Sivasubramaniam, Selvarajah Thuseethan, Sutharshan Rajasegarar, Qiang Lyu, Yongqiang Zheng i John Yearwood. "Deep Metric Learning Based Citrus Disease Classification With Sparse Data". IEEE Access 8 (2020): 162588–600. http://dx.doi.org/10.1109/access.2020.3021487.
Pełny tekst źródłaLopez, Jose J., Maximo Cobos i Emanuel Aguilera. "Computer-based detection and classification of flaws in citrus fruits". Neural Computing and Applications 20, nr 7 (20.06.2010): 975–81. http://dx.doi.org/10.1007/s00521-010-0396-2.
Pełny tekst źródłaYanto, Budi, Luth Fimawahib, Asep Supriyanto, B. Herawan Hayadi i Rinanda Rizki Pratama. "Klasifikasi Tekstur Kematangan Buah Jeruk Manis Berdasarkan Tingkat Kecerahan Warna dengan Metode Deep Learning Convolutional Neural Network". INOVTEK Polbeng - Seri Informatika 6, nr 2 (27.11.2021): 259. http://dx.doi.org/10.35314/isi.v6i2.2104.
Pełny tekst źródłaHoribata, Akira, i Tsuneo Kato. "Phylogenetic relationships among accessions in Citrus and related genera based on the insertion polymorphism of the CIRE1 retrotransposon". Open Agriculture 5, nr 1 (18.06.2020): 243–51. http://dx.doi.org/10.1515/opag-2020-0026.
Pełny tekst źródłaWang, Xuefeng, Chunyan Wu i Masayuki Hirafuji. "Visible Light Image-Based Method for Sugar Content Classification of Citrus". PLOS ONE 11, nr 1 (26.01.2016): e0147419. http://dx.doi.org/10.1371/journal.pone.0147419.
Pełny tekst źródłaReinhard, Hans, Fritz Sager i Otmar Zoller. "Citrus juice classification by SPME-GC-MS and electronic nose measurements". LWT - Food Science and Technology 41, nr 10 (grudzień 2008): 1906–12. http://dx.doi.org/10.1016/j.lwt.2007.11.012.
Pełny tekst źródłaQadri, Salman, Syed Furqan Qadri, Mujtaba Husnain, Malik Muhammad Saad Missen, Dost Muhammad Khan, Muzammil-Ul-Rehman, Abdul Razzaq i Saleem Ullah. "Machine vision approach for classification of citrus leaves using fused features". International Journal of Food Properties 22, nr 1 (1.01.2019): 2072–89. http://dx.doi.org/10.1080/10942912.2019.1703738.
Pełny tekst źródłaAmorós López, J., E. Izquierdo Verdiguier, L. Gómez Chova, J. Muñoz Marí, J. Z. Rodríguez Barreiro, G. Camps Valls i J. Calpe Maravilla. "Land cover classification of VHR airborne images for citrus grove identification". ISPRS Journal of Photogrammetry and Remote Sensing 66, nr 1 (styczeń 2011): 115–23. http://dx.doi.org/10.1016/j.isprsjprs.2010.09.008.
Pełny tekst źródłaDeng, Xiaoling, Zixiao Huang, Zheng Zheng, Yubin Lan i Fen Dai. "Field detection and classification of citrus Huanglongbing based on hyperspectral reflectance". Computers and Electronics in Agriculture 167 (grudzień 2019): 105006. http://dx.doi.org/10.1016/j.compag.2019.105006.
Pełny tekst źródłaAbdulridha, Jaafar, Ozgur Batuman i Yiannis Ampatzidis. "UAV-Based Remote Sensing Technique to Detect Citrus Canker Disease Utilizing Hyperspectral Imaging and Machine Learning". Remote Sensing 11, nr 11 (8.06.2019): 1373. http://dx.doi.org/10.3390/rs11111373.
Pełny tekst źródłaYang, Changcai, Zixuan Teng, Caixia Dong, Yaohai Lin, Riqing Chen i Jian Wang. "In-Field Citrus Disease Classification via Convolutional Neural Network from Smartphone Images". Agriculture 12, nr 9 (16.09.2022): 1487. http://dx.doi.org/10.3390/agriculture12091487.
Pełny tekst źródłaPetretto, Giacomo Luigi, Maria Enrica Di Pietro, Marzia Piroddi, Giorgio Pintore i Alberto Mannu. "Classification of Pummelo (Citrus grandis) Extracts through UV-VIS-Based Chemical Fingerprint". Beverages 8, nr 2 (13.06.2022): 34. http://dx.doi.org/10.3390/beverages8020034.
Pełny tekst źródłaZhang, Haipeng, Huan Wen, Jiajing Chen, Zhaoxin Peng, Meiyan Shi, Mengjun Chen, Ziyu Yuan, Yuan Liu, Hongyan Zhang i Juan Xu. "Volatile Compounds in Fruit Peels as Novel Biomarkers for the Identification of Four Citrus Species". Molecules 24, nr 24 (12.12.2019): 4550. http://dx.doi.org/10.3390/molecules24244550.
Pełny tekst źródłaMorell-Monzó, Sergio, María-Teresa Sebastiá-Frasquet i Javier Estornell. "Land Use Classification of VHR Images for Mapping Small-Sized Abandoned Citrus Plots by Using Spectral and Textural Information". Remote Sensing 13, nr 4 (13.02.2021): 681. http://dx.doi.org/10.3390/rs13040681.
Pełny tekst źródłaFlamini, Guido, Laura Pistelli, Simona Nardoni, Valentina Ebani, Angela Zinnai, Francesca Mancianti, Roberta Ascrizzi i Luisa Pistelli. "Essential Oil Composition and Biological Activity of “Pompia”, a Sardinian Citrus Ecotype". Molecules 24, nr 5 (5.03.2019): 908. http://dx.doi.org/10.3390/molecules24050908.
Pełny tekst źródłaSaddoud Debbabi, Olfa, Selma Ben Abdelaali, Rym Bouhlal, Sabrine Zneidi, Nasr Ben Abdelaali i Massaoud Mars. "Genetic Characterization of Tunisian Lime Genotypes Using Pomological Traits". Journal of Horticultural Research 28, nr 1 (30.06.2020): 65–76. http://dx.doi.org/10.2478/johr-2020-0004.
Pełny tekst źródłaXiao, Deqin, Ruilin Zeng, Youfu Liu, Yigui Huang, Junbing Liu, Jianzhao Feng i Xinglong Zhang. "Citrus greening disease recognition algorithm based on classification network using TRL-GAN". Computers and Electronics in Agriculture 200 (wrzesień 2022): 107206. http://dx.doi.org/10.1016/j.compag.2022.107206.
Pełny tekst źródłaX. Zhao, T. F. Burks, J. Qin i M. A. Ritenour. "Digital Microscopic Imaging for Citrus Peel Disease Classification Using Color Texture Features". Applied Engineering in Agriculture 25, nr 5 (2009): 769–76. http://dx.doi.org/10.13031/2013.28845.
Pełny tekst źródłaMiller, William M. "Comparison of two classification approaches for automatic density separation of Florida citrus". Computers and Electronics in Agriculture 4, nr 3 (styczeń 1990): 225–33. http://dx.doi.org/10.1016/0168-1699(90)90021-g.
Pełny tekst źródłaShrivastava, Rahul J., i Jennifer L. Gebelein. "Land cover classification and economic assessment of citrus groves using remote sensing". ISPRS Journal of Photogrammetry and Remote Sensing 61, nr 5 (styczeń 2007): 341–53. http://dx.doi.org/10.1016/j.isprsjprs.2006.10.003.
Pełny tekst źródłaLi, Xiuhua, Won Suk Lee, Minzan Li, Reza Ehsani, Ashish Ratn Mishra, Chenghai Yang i Robert L. Mangan. "Spectral difference analysis and airborne imaging classification for citrus greening infected trees". Computers and Electronics in Agriculture 83 (kwiecień 2012): 32–46. http://dx.doi.org/10.1016/j.compag.2012.01.010.
Pełny tekst źródłaIqbal, S. Md, A. Gopal, P. E. Sankaranarayanan i Athira B. Nair. "Classification of Selected Citrus Fruits Based on Color Using Machine Vision System". International Journal of Food Properties 19, nr 2 (18.05.2015): 272–88. http://dx.doi.org/10.1080/10942912.2015.1020439.
Pełny tekst źródłaWang, Hui, Tie Cai i Wei Cao. "Citrus Huanglongbing Recognition Algorithm Based on CKMOPSO". International Journal of Cognitive Informatics and Natural Intelligence 15, nr 4 (październik 2021): 1–11. http://dx.doi.org/10.4018/ijcini.20211001.oa10.
Pełny tekst źródłaMagalhães, Aida B., Giorgio S. Senesi, Anielle Ranulfi, Thiago Massaiti, Bruno S. Marangoni, Marina Nery da Silva, Paulino R. Villas Boas i in. "Discrimination of Genetically Very Close Accessions of Sweet Orange (Citrus sinensis L. Osbeck) by Laser-Induced Breakdown Spectroscopy (LIBS)". Molecules 26, nr 11 (21.05.2021): 3092. http://dx.doi.org/10.3390/molecules26113092.
Pełny tekst źródłaHarbi, Ahlem, Khaled Abbes, Beatriz Sabater-Muñoz, Francisco Beitia i Brahim Chermiti. "Residual toxicity of insecticides used in Tunisian citrus orchards on the imported parasitoid Diachasmimorpha longicaudata (Hymenoptera: Braconidae): Implications for IPM program of Ceratitis capitata (Diptera: Tephritidae)". Spanish Journal of Agricultural Research 15, nr 3 (10.07.2017): e1008. http://dx.doi.org/10.5424/sjar/2017153-10734.
Pełny tekst źródłaXing, Shuli, i Malrey Lee. "Classification Accuracy Improvement for Small-Size Citrus Pests and Diseases Using Bridge Connections in Deep Neural Networks". Sensors 20, nr 17 (3.09.2020): 4992. http://dx.doi.org/10.3390/s20174992.
Pełny tekst źródłaPhi Bằng, Cao, i Trần Thị Thanh Huyền. "Identification, classification and chromosome mapping of the dehydrin gene family in clementine oranges (Citrus clementina)". Journal of Science, Natural Science 61, nr 4 (2016): 116–21. http://dx.doi.org/10.18173/2354-1059.2016-0018.
Pełny tekst źródłaSun, Xiaopeng, Sai Xu i Huazhong Lu. "Non-Destructive Identification and Estimation of Granulation in Honey Pomelo Using Visible and Near-Infrared Transmittance Spectroscopy Combined with Machine Vision Technology". Applied Sciences 10, nr 16 (5.08.2020): 5399. http://dx.doi.org/10.3390/app10165399.
Pełny tekst źródłaFranco, Mariane Ferreira, Eduardo Carvalho Marques, Carlos de Sousa Lucci, Bruno Leonardo Mendonça Ribeiro, Lucas Alencar Fernandes Beserra, Jeferson Carvalho da Silva, Gisela Gregoria Choque i Lilian Gregory. "Estudo de diferentes proporções de milho x polpa cítrica x concentrado/volumoso na alimentação de ovinos da raça Suffolk". Revista Agraria Academica 5, nr 5 (1.09.2022): 107–15. http://dx.doi.org/10.32406/v5n5/2022/107-115/agrariacad.
Pełny tekst źródłaGe Tu, Wang He Xi, i Bolormaa D. "Size based research on orange quality and classification". Mongolian Journal of Agricultural Sciences 25, nr 03 (28.12.2018): 144–52. http://dx.doi.org/10.5564/mjas.v25i03.1184.
Pełny tekst źródłaFuruta, Shu, Isao Hayakawa i Yusaku Fujio. "Classification of the Constituents of Citrus Juice Residue by a Wet-Grinding Process". Journal of the Faculty of Agriculture, Kyushu University 34, nr 1/2 (listopad 1989): 101–6. http://dx.doi.org/10.5109/23892.
Pełny tekst źródłaFENG, Xinwei, Qinghua ZHANG i Zhongliang ZHU. "Rapid Classification of Citrus Fruits Based on Raman Spectroscopy and Pattern Recognition Techniques". Food Science and Technology Research 19, nr 6 (2013): 1077–84. http://dx.doi.org/10.3136/fstr.19.1077.
Pełny tekst źródłaBefu, Mayumi, Akira Kitajima i Kojiro Hasegawa. "Classification of the Citrus Chromosomes with Same Types of Chromomycin A Banding Patterns." Engei Gakkai zasshi 71, nr 3 (2002): 394–400. http://dx.doi.org/10.2503/jjshs.71.394.
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