Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural Research
Counts (e.g., number of leaves, fruits, seeds, or plants) are a common type of data gathered in horticultural research. In many instances, using ImageJ can increase the ease and accuracy of gathering count data. When image processing can easily separate objects of interest from the background, auto...
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The University of Florida George A. Smathers Libraries
2021-01-01
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| Online Access: | https://journals.flvc.org/edis/article/view/125670 |
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| author | Lillian Pride Shinsuke Agehara |
| author_facet | Lillian Pride Shinsuke Agehara |
| author_sort | Lillian Pride |
| collection | DOAJ |
| description |
Counts (e.g., number of leaves, fruits, seeds, or plants) are a common type of data gathered in horticultural research. In many instances, using ImageJ can increase the ease and accuracy of gathering count data. When image processing can easily separate objects of interest from the background, automatic counting with ImageJ can eliminate tedious manual counting processes. Furthermore, additional plant growth data, such as leaf area, plant width, and canopy area, can be collected from the same image. The image processing and analysis techniques introduced in this article are easily accessible and simple to use and thus can be adopted not only by researchers, but also by Extension agents and students. This new 10-page publication of the UF/IFAS Horticultural Sciences Department is part of a series introducing various image-based measurements with ImageJ for horticultural research. Written by Lillian Pride and Shinsuke Agehara.
https://edis.ifas.ufl.edu/hs1405
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| format | Article |
| id | doaj-art-00ed058526dd4959b7845f3f77ee88d3 |
| institution | Kabale University |
| issn | 2576-0009 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | The University of Florida George A. Smathers Libraries |
| record_format | Article |
| series | EDIS |
| spelling | doaj-art-00ed058526dd4959b7845f3f77ee88d32025-02-08T05:46:37ZengThe University of Florida George A. Smathers LibrariesEDIS2576-00092021-01-0120211Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural ResearchLillian Pride0Shinsuke Agehara1University of FloridaUniversity of Florida Counts (e.g., number of leaves, fruits, seeds, or plants) are a common type of data gathered in horticultural research. In many instances, using ImageJ can increase the ease and accuracy of gathering count data. When image processing can easily separate objects of interest from the background, automatic counting with ImageJ can eliminate tedious manual counting processes. Furthermore, additional plant growth data, such as leaf area, plant width, and canopy area, can be collected from the same image. The image processing and analysis techniques introduced in this article are easily accessible and simple to use and thus can be adopted not only by researchers, but also by Extension agents and students. This new 10-page publication of the UF/IFAS Horticultural Sciences Department is part of a series introducing various image-based measurements with ImageJ for horticultural research. Written by Lillian Pride and Shinsuke Agehara. https://edis.ifas.ufl.edu/hs1405 https://journals.flvc.org/edis/article/view/125670FijiImage AnalysisImageJ |
| spellingShingle | Lillian Pride Shinsuke Agehara Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural Research EDIS Fiji Image Analysis ImageJ |
| title | Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural Research |
| title_full | Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural Research |
| title_fullStr | Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural Research |
| title_full_unstemmed | Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural Research |
| title_short | Useful Image-Based Techniques for Manual and Automatic Counting Using ImageJ for Horticultural Research |
| title_sort | useful image based techniques for manual and automatic counting using imagej for horticultural research |
| topic | Fiji Image Analysis ImageJ |
| url | https://journals.flvc.org/edis/article/view/125670 |
| work_keys_str_mv | AT lillianpride usefulimagebasedtechniquesformanualandautomaticcountingusingimagejforhorticulturalresearch AT shinsukeagehara usefulimagebasedtechniquesformanualandautomaticcountingusingimagejforhorticulturalresearch |