Готові списки джерел за темами / Citrus Classification

Зміст

  1. Статті в журналах
  2. Дисертації
  3. Книги
  4. Частини книг
  5. Тези доповідей конференцій
  6. Звіти організацій

Добірка наукової літератури з теми "Citrus Classification"

Автор: Grafiati
Опубліковано: 4 червня 2021
Оновлено: 28 січня 2023

Оформте джерело за APA, MLA, Chicago, Harvard та іншими стилями

Оберіть тип джерела:

Ознайомтеся зі списками актуальних статей, книг, дисертацій, тез та інших наукових джерел на тему "Citrus Classification".

Біля кожної праці в переліку літератури доступна кнопка «Додати до бібліографії». Скористайтеся нею – і ми автоматично оформимо бібліографічне посилання на обрану працю в потрібному вам стилі цитування: APA, MLA, «Гарвард», «Чикаго», «Ванкувер» тощо.

Також ви можете завантажити повний текст наукової публікації у форматі «.pdf» та прочитати онлайн анотацію до роботи, якщо відповідні параметри наявні в метаданих.

Статті в журналах з теми "Citrus Classification"

1

Yang, Taeyang, and Oh-Sang Kwon. "Sequential Effect on Visual Classification: The Citrus Classification Paradigm." Journal of Vision 16, no. 12 (September 1, 2016): 548. http://dx.doi.org/10.1167/16.12.548.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

WAKATA, Tadayuki, and Miho SAITO. "Psychological classification of the citrus fragrance." Proceedings of the Annual Convention of the Japanese Psychological Association 76 (September 11, 2012): 1AMA01. http://dx.doi.org/10.4992/pacjpa.76.0_1ama01.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Hiri, A., M. De Luca, G. Ioele, A. Balouki, M. Basbassi, F. Kzaiber, A. Oussama, and G. Ragno. "Chemometric classification of citrus juices of Moroccan cultivars by infrared spectroscopy." Czech Journal of Food Sciences 33, No. 2 (June 3, 2016): 137–42. http://dx.doi.org/10.17221/284/2014-cjfs.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Dhiman, Poonam. "Contemporary Study on Citrus Disease Classification System." ECS Transactions 107, no. 1 (April 24, 2022): 10035–43. http://dx.doi.org/10.1149/10701.10035ecst.

Повний текст джерела
Анотація:
Machine vision systems enable many applications in all important fields of life like medical healthcare, agriculture, fruit and vegetable industry, etc. One of the application fields is disease detection of fruit. The disease identification of fruits is a critical issue and advanced automatic detection systems need to be developed. In the recent years, image processing techniques have been employed for the quality evaluation of the fruits. This paper presents the current advancement in image processing techniques used by the disease recognition system of the citrus fruits. In past few years, d
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Schaad, Norman W., Elena Postnikova, George Lacy, Aaron Sechler, Irina Agarkova, Paul E. Stromberg, Verlyn K. Stromberg, and Anne K. Vidaver. "Emended classification of xanthomonad pathogens on citrus." Systematic and Applied Microbiology 29, no. 8 (December 2006): 690–95. http://dx.doi.org/10.1016/j.syapm.2006.08.001.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Silva, Alessandra F., Ana Paula Barbosa, Célia R. L. Zimback, and Paulo M. B. Landim. "Geostatistics and remote sensing methods in the classification of images of areas cultivated with citrus." Engenharia Agrícola 33, no. 6 (December 2013): 1245–56. http://dx.doi.org/10.1590/s0100-69162013000600017.

Повний текст джерела
Анотація:
This study compares the precision of three image classification methods, two of remote sensing and one of geostatistics applied to areas cultivated with citrus. The 5,296.52ha area of study is located in the city of Araraquara - central region of the state of São Paulo (SP), Brazil. The multispectral image from the CCD/CBERS-2B satellite was acquired in 2009 and processed through the Geographic Information System (GIS) SPRING. Three classification methods were used, one unsupervised (Cluster), and two supervised (Indicator Kriging/IK and Maximum Likelihood/Maxver), in addition to the screen cl
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Dorj, Ulzii-Orshikh, Uranbaigal Dejidbal, Hongseok Chae, Lkhagvadorj Batsambuu, Altanchimeg Badarch, and Shinebayar Dalkhaa. "CITRUS FRUIT QUALITY CLASSIFICATION BASED ON SIZE USING DIGITAL IMAGE PROCESSING." Siberian Herald of Agricultural Science 48, no. 5 (January 9, 2019): 95–101. http://dx.doi.org/10.26898/0370-8799-2018-5-12.

Повний текст джерела
Анотація:
A new computer vision algorithm for citrus fruit quality classification based on the size of a single tree fruits was developed in this study. The image properties of area, perimeter, and diameter for the citrus fruits were measured by pixels. In order to estimate citrus fruit size in a realistic manner, the ratios of diameter, perimeter and area in pixel values in relation to the actual size of one fruit were determined. The total of 1860 citrus fruits were grouped based on diameter, perimeter, and area in pixels. The results of the grouping of citrus fruits by diameter, perimeter and area we
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Elaraby, Ahmed, Walid Hamdy, and Saad Alanazi. "Classification of Citrus Diseases Using Optimization Deep Learning Approach." Computational Intelligence and Neuroscience 2022 (February 10, 2022): 1–10. http://dx.doi.org/10.1155/2022/9153207.

Повний текст джерела
Анотація:
Most plant diseases have apparent signs, and today’s recognized method is for an expert plant pathologist to identify the disease by looking at infected plant leaves using a microscope. The fact is that manually diagnosing diseases is time consuming and that the effectiveness of the diagnosis is related to the pathologist’s talents, making this a great application area for computer-aided diagnostic systems. The proposed work describes an approach for detecting and classifying diseases in citrus plants using deep learning and image processing. The main cause of decreased productivity is conside
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Varjão, Jonatha Oliveira Reis, Glenda Michele Botelho, Tiago da Silva Almeida, Glêndara Aparecida de Souza Martins, and Warley Gramacho da Silva. "Citrus Fruit Quality Classification using Support Vector Machines." International Journal of Advanced Engineering Research and Science 6, no. 7 (2019): 59–65. http://dx.doi.org/10.22161/ijaers.678.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Lee, Saebom, Gyuho Choi, Hyun-Cheol Park, and Chang Choi. "Automatic Classification Service System for Citrus Pest Recognition Based on Deep Learning." Sensors 22, no. 22 (November 18, 2022): 8911. http://dx.doi.org/10.3390/s22228911.

Повний текст джерела
Анотація:
Plant diseases are a major cause of reduction in agricultural output, which leads to severe economic losses and unstable food supply. The citrus plant is an economically important fruit crop grown and produced worldwide. However, citrus plants are easily affected by various factors, such as climate change, pests, and diseases, resulting in reduced yield and quality. Advances in computer vision in recent years have been widely used for plant disease detection and classification, providing opportunities for early disease detection, and resulting in improvements in agriculture. Particularly, the
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Дисертації з теми "Citrus Classification"

1

Ashari, Ir Sumeru. "Discrimination between citrus genotypes." Title page, contents and summary only, 1989. http://web4.library.adelaide.edu.au/theses/09A/09aa819.pdf.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Le, Thanh Toan, Trong Ky Vo, and Huy Hoang Nguyen. "Evaluation of two eco-friendly botanical extracts on fruit rot pathogens of orange (Citrus sinesis (L.) Osbeck)." Technische Universität Dresden, 2018. https://tud.qucosa.de/id/qucosa%3A33345.

Повний текст джерела
Анотація:
Fruit rot caused by Aspergillus niger and Colletotrichum sp. could cause rapid and severe damage on orange fruits. Current control method of orange fruits is mainly applied by usage of harmful pesticides, leading to chemical residues on fruits, environmental pollution and human poisoning. One of alternative methods of reducing pesticides is to use botanical extracts. This study was conducted to evaluate the in vivo antifungal efficacy of aqueous extracts from the leaves of neem and basket plants against A. niger and Colletotrichum sp. Orange fruits artificially inoculated by fruit rot pathogen
Стилі APA, Harvard, Vancouver, ISO та ін.
3

von, Suffrin Dana. "Irit Amit-Cohen: Zionism and Free Enterprise. The Story of Private Entrepreneurs in Citrus Plantations in Palestine in the 1920s and 1930s." HATiKVA e.V. – Die Hoffnung Bildungs- und Begegnungsstätte für Jüdische Geschichte und Kultur Sachsen, 2014. https://slub.qucosa.de/id/qucosa%3A35090.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Saldivar-Sali, Artessa Niccola D. 1980. "A global typology of cities : classification tree analysis of urban resource consumption." Thesis, Massachusetts Institute of Technology, 2010. http://hdl.handle.net/1721.1/61558.

Повний текст джерела
Анотація:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Architecture, 2010.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (p. 101-103).<br>A study was carried out to develop a typology of urban metabolic (or resource consumption) profiles for 155 globally representative cities. Classification tree analysis was used to develop a model for determining how certain predictor (or independent) variables are related to levels of resource consumption. These predictor variables are: climate, city GDP, population, and population density. Classification trees and
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Alsouda, Yasser. "An IoT Solution for Urban Noise Identification in Smart Cities : Noise Measurement and Classification." Thesis, Linnéuniversitetet, Institutionen för fysik och elektroteknik (IFE), 2019. http://urn.kb.se/resolve?urn=urn:nbn:se:lnu:diva-80858.

Повний текст джерела
Анотація:
Noise is defined as any undesired sound. Urban noise and its effect on citizens area significant environmental problem, and the increasing level of noise has become a critical problem in some cities. Fortunately, noise pollution can be mitigated by better planning of urban areas or controlled by administrative regulations. However, the execution of such actions requires well-established systems for noise monitoring. In this thesis, we present a solution for noise measurement and classification using a low-power and inexpensive IoT unit. To measure the noise level, we implement an algorithm for
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Mokrenko, Valeria Igorevna. "Machine Learning Enabled Surface Classification and Knowledge Transfer for Accessible Route Generation for Wheelchair Users." Miami University / OhioLINK, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1596030215568784.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Yang, Shiqi [Verfasser], Andreas [Akademischer Betreuer] Matzarakis, and Rüdiger [Akademischer Betreuer] Glaser. "Analysis and evaluation of human thermal comfort conditions for Chinese cities, based on updated Köppen-Geiger classification." Freiburg : Universität, 2017. http://d-nb.info/1136567194/34.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Luus, Martin. "Economic specialisation and diversity in South African cities / by Martin Luus." Thesis, North-West University, 2005. http://hdl.handle.net/10394/803.

Повний текст джерела
Анотація:
According to Naudé and Krugell (2003a) South Africa's cities are too small, dispersed, and over concentrated. In South Africa, households in the country's urban areas have average incomes almost thrice as high as the households in rural areas. More than 70% of South Africa's GDP is produced in only 19 urban areas (Naudé and Krugell 2003b). In Naudé and Krugell (2003a) it is stated that the rank-size rule shows that South Africa's urban agglomerations are too small and the cities mainly offer urbanization economies rather than localization economies. The main focus of this study will be looking
Стилі APA, Harvard, Vancouver, ISO та ін.
9

HUANG, KUAN-YU. "Fractal or Scaling Analysis of Natural Cities Extracted from Open Geographic Data Sources." Thesis, Högskolan i Gävle, Avdelningen för Industriell utveckling, IT och Samhällsbyggnad, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:hig:diva-19386.

Повний текст джерела
Анотація:
A city consists of many elements such as humans, buildings, and roads. The complexity of cities is difficult to measure using Euclidean geometry. In this study, we use fractal geometry (scaling analysis) to measure the complexity of urban areas. We observe urban development from different perspectives using the bottom-up approach. In a bottom-up approach, we observe an urban region from a basic to higher level from our daily life perspective to an overall view. Furthermore, an urban environment is not constant, but it is complex; cities with greater complexity are more prosperous. There are ma
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Papsdorf, Christian. "Chemnitzer Internet- und Techniksoziologie (CITS) : Working Papers." Technische Universität Chemnitz, 2016. https://monarch.qucosa.de/id/qucosa%3A20442.

Повний текст джерела
Анотація:
Die Working Papers-Reihe „Chemnitzer Internet- und Techniksoziologie“ widmet sich aktuellen Forschungsfragen aus dem Bereich der Internetforschung und Techniksoziologie. Es werden empirische wie theoretische Beiträge zu unterschiedlichen Aspekten gegenwärtiger Mediennutzung, Technikentwicklung und Internetkommunikation publiziert. Besonders im Fokus steht hierbei das, in der Regel mit Methoden der qualitativen Sozialforschung untersuchte, Verhältnis von Mensch und Technik.<br>The Working Paper Series „Chemnitz Sociology of the Internet and Technology“ focusses on current research issues in de
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Книги з теми "Citrus Classification"

1

Massachusetts. Dept. of Education. A New classification scheme for communities in Massachusetts. [Quincy, Mass.]: Massachusetts Dept. of Education, 1985.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Wilson Sampaio de Azevedo Filho. Cigarrinhas de citros no Rio Grande do Sul: Taxonomia. Porto Alegre: EDIPUCRS, 2006.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Basṭ, Salīm. Dalīl al-taṣnīf al-ʻashrī lil-mudun wa-al-qurá al-Filasṭīnīyah. al-Quds: Jamʻīyat al-Dirāsāt al-ʻArabīyah, Markaz al-Tawthīq wa-al-Maʻlūmāt, 1993.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Szymańska, Daniela. Problemy klasyfikacji i typologii miast w geografii radzieckiej =: The classification and the typology of cities in Soviet Union geography. Toruń: TNT, 1989.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

K, Jain M. Functional classification of urban agglomerations/towns of India, 1991. New Delhi: Social Studies Division, Office of the Registrar General, India, Ministry of Home Affairs, 1994.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Mukherji, Shekhar. Functional classification of Indian towns by factor-cluster method, 1981 and 1991. Bombay, India: International Institute for Population Sciences, 1994.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Wilson Sampaio de Azevedo Filho. Guia para coleta & identificação de cigarrinhas em pomares de citros no Rio Grande do Sul. Porto Alegre: EDIPUCRS, 2004.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Wilson Sampaio de Azevedo Filho. Guia para coleta & identificação de cigarrinhas em pomares de citros no Rio Grande do Sul. Porto Alegre: EDIPUCRS, 2004.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Wilson Sampaio de Azevedo Filho. Guia para coleta & identificação de cigarrinhas em pomares de citros no Rio Grande do Sul. Porto Alegre: EDIPUCRS, 2004.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Tōkeikyoku, Japan Sōmuchō. Toshi bunrui. Tōkyō: Nihon Tōkei Kyōkai, 1990.

Знайти повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
Більше джерел

Частини книг з теми "Citrus Classification"

1

Kato, Shigeru, Tomomichi Kagawa, Naoki Wada, Takanori Hino, and Hajime Nobuhara. "Citrus Brand Classification by CNN Considering Load and Sound." In Advances in Intelligent Systems and Computing, 1239–49. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-44038-1_113.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Lopez, Jose J., Emanuel Aguilera, and Maximo Cobos. "Defect Detection and Classification in Citrus Using Computer Vision." In Neural Information Processing, 11–18. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-10684-2_2.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Torrens, Francisco, and Gloria Castellano. "Classification of Citrus: Principal Components, Cluster, and Meta-Analyses." In Applied Physical Chemistry with Multidisciplinary Approaches, 217–34. Toronto : Apple Academic Press, 2018. | Series: Innovations in physical chemistry. Monograph series: Apple Academic Press, 2018. http://dx.doi.org/10.1201/9781315169415-9.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Negi, Alok, and Krishan Kumar. "Classification and Detection of Citrus Diseases Using Deep Learning." In Data Science and Its Applications, 63–85. Boca Raton: Chapman and Hall/CRC, 2021. http://dx.doi.org/10.1201/9781003102380-4.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Singh, Harpreet, Rajneesh Rani, and Shilpa Mahajan. "Detection and Classification of Citrus Leaf Disease Using Hybrid Features." In Advances in Intelligent Systems and Computing, 737–45. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-0751-9_67.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Sharma, Parul, and Pawanesh Abrol. "Analysis of Multiple Component Based CNN for Similar Citrus Species Classification." In Studies in Computational Intelligence, 221–32. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-96634-8_20.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Senthilkumar, C., and M. Kamarasan. "An Effective Kapur’s Segmentation Based Detection and Classification Model for Citrus Diseases Diagnosis System." In Proceeding of the International Conference on Computer Networks, Big Data and IoT (ICCBI - 2019), 232–39. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43192-1_26.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Roy, Kyamelia, Sheli Sinha Chaudhuri, Soumi Bhattacharjee, and Srijita Manna. "Classification of Citrus Fruits and Prediction of Their Largest Producer Based on Deep Learning Architectures." In Advances in Smart Communication Technology and Information Processing, 147–55. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-9433-5_15.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Sayed, Gehad Ismail, Aboul Ella Hassanien, and Mincong Tang. "A Novel Optimized Convolutional Neural Network Based on Marine Predators Algorithm for Citrus Fruit Quality Classification." In Lecture Notes in Operations Research, 682–92. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8656-6_60.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Ibrahim, Israa Saeed, and Furkan Rabee. "Smart Cities Population Classification Using Hadoop MapReduce." In Proceedings of Third Doctoral Symposium on Computational Intelligence, 165–79. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-3148-2_14.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Тези доповідей конференцій з теми "Citrus Classification"

1

Arivazhagan, S., R. Newlin Shebiah, S. Selva Nidhyanandhan, and L. Ganesan. "Classification of citrus and non-citrus fruits using texture features." In 2010 International Conference on Computing, Communication and Networking Technologies (ICCCNT'10). IEEE, 2010. http://dx.doi.org/10.1109/icccnt.2010.5591562.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
2

Miller, William M. "Automated Inspection/Classification of Fruits and Vegetables." In ASME 1987 Citrus Engineering Conference. American Society of Mechanical Engineers, 1987. http://dx.doi.org/10.1115/cec1987-3305.

Повний текст джерела
Анотація:
Rapid advances in the electronic industry have generated high interest in automated grading technology tor fresh fruits and vegetables. During the last two decades, packaging and container handling have become significantly mechanized. However, sorting remains a labor intensive operation in many fresh produce industries. The amount of fruit removed can be quite significant. In Florida citrus packing, an average of 30% of the fruit is diverted to processing. Such high removal rates coupled with limited grading tables areas can diminish human grading performance and the production capacity of a
Стилі APA, Harvard, Vancouver, ISO та ін.
3

Nuno-Maganda, Marco Aurelio, Yahir Hernandez-Mier, Cesar Torres-Huitzil, and Josue Jimenez-Arteaga. "FPGA-based real-time citrus classification system." In 2014 IEEE 5th Latin American Symposium on Circuits and Systems (LASCAS). IEEE, 2014. http://dx.doi.org/10.1109/lascas.2014.6820292.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
4

Khan, Ejaz, Muhammad Zia Ur Rehman, Fawad Ahmed, and Muhammad Attique Khan. "Classification of Diseases in Citrus Fruits using SqueezeNet." In 2021 International Conference on Applied and Engineering Mathematics (ICAEM). IEEE, 2021. http://dx.doi.org/10.1109/icaem53552.2021.9547133.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
5

Sudharshan Duth, P., and Shreeharsha Gopalkrishna Bhat. "Disease Classification in Citrus Leaf using Deep Learning." In 2022 IEEE International Conference on Data Science and Information System (ICDSIS). IEEE, 2022. http://dx.doi.org/10.1109/icdsis55133.2022.9915847.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
6

Kawashita Kobayashi, Felipe, Andrea Britto Mattos, Bruno H. Gemignani, and Maysa M. G. Macedo. "Experimental Analysis of Citrus Tree Classification from UAV Images." In 2019 IEEE International Symposium on Multimedia (ISM). IEEE, 2019. http://dx.doi.org/10.1109/ism46123.2019.00014.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
7

Saini, Ashok Kumar, Roheet Bhatnagar, and Devesh Kumar Srivastava. "Citrus Fruits Diseases Detection and Classification Using Transfer Learning." In DSMLAI '21': International Conference on Data Science, Machine Learning and Artificial Intelligence. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3484824.3484893.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
8

Jianwei Qin, Thomas F Burks, Dae Gwan Kim, and Duke M Bulanon. "Classification of Citrus Peel Diseases Using Color Texture Feature Analysis." In Food Processing Automation Conference Proceedings, 28-29 June 2008, Providence, Rhode Island. St. Joseph, MI: American Society of Agricultural and Biological Engineers, 2008. http://dx.doi.org/10.13031/2013.24555.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.
9

Kobayashi, Felipe Kawashita, Andrea Britto Mattos, Maysa M. G. Macedo, and Bruno H. Gemignani. "Citrus Tree Classification from UAV Images: Analysis and Experimental Results." In XV Workshop de Visão Computacional. Sociedade Brasileira de Computação - SBC, 2019. http://dx.doi.org/10.5753/wvc.2019.7624.

Повний текст джерела
Анотація:
The use of unmanned aerial vehicles (UAVs) and computer vision for automating farm operations is growing rapidly: time-consuming tasks such as crop monitoring may be solved in a more efficient, precise, and less error-prone manner. In particular, for estimating productivity and managing pests, it is fundamental to characterize crop regions into four classes: (i) full-grown trees, (ii) tree seedlings, (iii) tree gaps, and (iv) background. In this paper, we address the classification of images from citrus plantations, acquired by UAVs, into the previously mentioned categories. While Deep learning-
Стилі APA, Harvard, Vancouver, ISO та ін.
10

Dang-Ngoc, Hanh, Trang N. M. Cao, and Chau Dang-Nguyen. "Citrus Leaf Disease Detection and Classification Using Hierarchical Support Vector Machine." In 2021 International Symposium on Electrical and Electronics Engineering (ISEE). IEEE, 2021. http://dx.doi.org/10.1109/isee51682.2021.9418680.

Повний текст джерела
Стилі APA, Harvard, Vancouver, ISO та ін.

Звіти організацій з теми "Citrus Classification"

1

Lee, W. S., Victor Alchanatis, and Asher Levi. Innovative yield mapping system using hyperspectral and thermal imaging for precision tree crop management. United States Department of Agriculture, January 2014. http://dx.doi.org/10.32747/2014.7598158.bard.

Повний текст джерела
Анотація:
Original objectives and revisions – The original overall objective was to develop, test and validate a prototype yield mapping system for unit area to increase yield and profit for tree crops. Specific objectives were: (1) to develop a yield mapping system for a static situation, using hyperspectral and thermal imaging independently, (2) to integrate hyperspectral and thermal imaging for improved yield estimation by combining thermal images with hyperspectral images to improve fruit detection, and (3) to expand the system to a mobile platform for a stop-measure- and-go situation. There were no
Стилі APA, Harvard, Vancouver, ISO та ін.
Також вас можуть зацікавити розширені добірки на тему "Citrus Classification" для конкретних типів джерел:
Статті в журналах Дисертації Книги
Ми пропонуємо знижки на всі преміум-плани для авторів, чиї праці увійшли до тематичних добірок літератури. Зв'яжіться з нами, щоб отримати унікальний промокод!

До бібліографії