Image Processing in Agriculture and Forestry / / edited by Francisco Rovira Más and Gonzalo Martinsanz.
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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Place / Publishing House: | Basel, Switzerland : : MDPI - Multidisciplinary Digital Publishing Institute,, 2018. |
Year of Publication: | 2018 |
Language: | English |
Physical Description: | 1 online resource (222 pages) :; illustrations |
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245 | 0 | 0 | |a Image Processing in Agriculture and Forestry / |c edited by Francisco Rovira Más and Gonzalo Martinsanz. |
264 | 1 | |a Basel, Switzerland : |b MDPI - Multidisciplinary Digital Publishing Institute, |c 2018. | |
300 | |a 1 online resource (222 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
588 | |a Description based on publisher supplied metadata and other sources. | ||
520 | |a 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). | ||
504 | |a Includes bibliographical references. | ||
650 | 0 | |a Image processing. | |
700 | 1 | |a Martinsanz, Gonzalo Pajares, |e editor. | |
700 | 1 | |a Más, Francisco Rovira, |e editor. | |
906 | |a BOOK | ||
ADM | |b 2023-07-08 12:11:44 Europe/Vienna |f system |c marc21 |a 2020-10-31 22:37:04 Europe/Vienna |g false | ||
AVE | |i DOAB Directory of Open Access Books |P DOAB Directory of Open Access Books |x https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5337910160004498&Force_direct=true |Z 5337910160004498 |b Available |8 5337910160004498 |