Image Processing in Agriculture and Forestry
Image processing in agriculture and forestry represents a challenge towards the automation of tasks for better performances. Agronomists, computer and robotics engineers, and agricultural machinery industry manufacturers now have at their disposal a book containing a collection of methods, procedure...
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| Main Authors: | , |
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| 格式: | Online |
| 語言: | 英语 |
| 出版: |
MDPI - Multidisciplinary Digital Publishing Institute
2021
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| 主題: | |
| 在線閱讀: | 29082 |
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| _version_ | 1869521343061426176 |
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| author | Gonzalo Pajares Martinsanz (Ed.) Francisco Rovira-Más (Ed.) |
| author_browse | Francisco Rovira-Más (Ed.) Gonzalo Pajares Martinsanz (Ed.) |
| author_facet | Gonzalo Pajares Martinsanz (Ed.) Francisco Rovira-Más (Ed.) |
| author_sort | Gonzalo Pajares Martinsanz (Ed.) |
| collection | Directory of Open Access Books |
| description | Image processing in agriculture and forestry represents a challenge towards the automation of tasks for better performances. Agronomists, computer and robotics engineers, and agricultural machinery industry manufacturers now have at their disposal a book containing a collection of methods, procedures, designs, and descriptions at the technological forefront, which serves as an important support and aid for the implementation and development of their own ideas. The book describes: (1) Applications (canopy on trees, aboveground biomass, phenotyping, chlorophyll, leaf area index, water and nutrient content, land cover change, soil properties, and secure autonomous navigation); (2) Imaging devices onboard robots, unmanned aerial vehicles (UAVs), and satellites operating at different spectral ranges (visible, infrared, hyper-multispectral bands, and radar), as well as guidelines for selecting machine vision systems in outdoor environments; and (3) (Specific computer vision methods (generic and convolutional neural networks, machine learning, specific segmentation approaches, vegetation indices, and three-dimensional (3D) reconstruction). |
| format | Online |
| id | doab-20.500.12854ir-49905 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-499052024-04-11T15:10:56Z Image Processing in Agriculture and Forestry Gonzalo Pajares Martinsanz (Ed.) Francisco Rovira-Más (Ed.) TJ1-1570 agriculture image processing vegetation index aboreground biomass machine-vision autonomous navigation computer vision leaf area index forestry biophysical variables thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCW Pharmaceutical chemistry and technology Image processing in agriculture and forestry represents a challenge towards the automation of tasks for better performances. Agronomists, computer and robotics engineers, and agricultural machinery industry manufacturers now have at their disposal a book containing a collection of methods, procedures, designs, and descriptions at the technological forefront, which serves as an important support and aid for the implementation and development of their own ideas. The book describes: (1) Applications (canopy on trees, aboveground biomass, phenotyping, chlorophyll, leaf area index, water and nutrient content, land cover change, soil properties, and secure autonomous navigation); (2) Imaging devices onboard robots, unmanned aerial vehicles (UAVs), and satellites operating at different spectral ranges (visible, infrared, hyper-multispectral bands, and radar), as well as guidelines for selecting machine vision systems in outdoor environments; and (3) (Specific computer vision methods (generic and convolutional neural networks, machine learning, specific segmentation approaches, vegetation indices, and three-dimensional (3D) reconstruction). 2021-02-11T15:52:15Z 2021-02-11T15:52:15Z 2018-09-27 09:15:10 2018 book 29082 9783038970972 9783038970989 https://directory.doabooks.org/handle/20.500.12854/49905 eng image/jpeg Attribution-NonCommercial-NoDerivatives 4.0 International https://play.google.com/books/publish/a/14935057684283403269#details/ISBN:9783038970972 https://www.mdpi.com/books/pdfview/book/714 https://www.mdpi.com/books/pdfview/book/714 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03897-098-9 10.3390/books978-3-03897-098-9 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783038970972 9783038970989 222 open access |
| spellingShingle | TJ1-1570 agriculture image processing vegetation index aboreground biomass machine-vision autonomous navigation computer vision leaf area index forestry biophysical variables thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCW Pharmaceutical chemistry and technology Gonzalo Pajares Martinsanz (Ed.) Francisco Rovira-Más (Ed.) Image Processing in Agriculture and Forestry |
| title | Image Processing in Agriculture and Forestry |
| title_full | Image Processing in Agriculture and Forestry |
| title_fullStr | Image Processing in Agriculture and Forestry |
| title_full_unstemmed | Image Processing in Agriculture and Forestry |
| title_short | Image Processing in Agriculture and Forestry |
| title_sort | image processing in agriculture and forestry |
| topic | TJ1-1570 agriculture image processing vegetation index aboreground biomass machine-vision autonomous navigation computer vision leaf area index forestry biophysical variables thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCW Pharmaceutical chemistry and technology |
| topic_facet | TJ1-1570 agriculture image processing vegetation index aboreground biomass machine-vision autonomous navigation computer vision leaf area index forestry biophysical variables thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TD Industrial chemistry and manufacturing technologies::TDC Industrial chemistry and chemical engineering::TDCW Pharmaceutical chemistry and technology |
| url | 29082 |
| work_keys_str_mv | AT gonzalopajaresmartinsanzed imageprocessinginagricultureandforestry AT franciscoroviramased imageprocessinginagricultureandforestry |