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| 020 | _a9783030737344 | ||
| 024 | 7 |
_a10.1007/978-3-030-73734-4 _2doi |
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| 040 |
_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC |
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| 050 | 4 |
_aSB106.G46 _b2021 EB |
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| 245 | 0 | 0 |
_aHigh-Throughput Crop Phenotyping _cedited by Jianfeng Zhou, Henry T. Nguyen |
| 250 | _aFirst edition 2021 | ||
| 264 | 1 |
_aCham _bSpringer International Publishing _c2021 |
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| 264 | 4 | _c2021 | |
| 300 |
_a1 recurso en línea (XVII, 249 páginas) _b65 ilustraciones, 59 ilustraciones a color |
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| 336 |
_2rdacontent _aTexto _btxt |
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| 337 |
_2rdamedia _aelectrónico _bc |
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| 338 |
_2rdacarrier _arecurso electrónico _bcr |
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| 347 |
_aArchivo de texto _bPDF |
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| 490 | 0 |
_aConcepts and Strategies in Plant Sciences _x2662-3196 |
|
| 490 | 0 | _aBiomedical and Life Sciences (SpringerNature-11642) | |
| 490 | 0 | _aBiomedical and Life Sciences (R0) (SpringerNature-43708) | |
| 505 | 0 | _aSolve the breeder's equation using high-throughput crop phenotyping technology -- Experiences of Applying Field-Based High-Throughput Phenotyping for Wheat Breeding -- High-throughput crop phenotyping systems for controlled environments -- Got all the answers! What were the questions? Avoiding the risk of "phenomics" slipping into a technology spree. Subject Index. | |
| 520 | 3 | _aThis book provides an overview of the innovations in crop phenotyping using emerging technologies, i.e., high-throughput crop phenotyping technology, including its concept, importance, breakthrough and applications in different crops and environments. Emerging technologies in sensing, machine vision and high-performance computing are changing the world beyond our imagination. They are also becoming the most powerful driver of the innovation in agriculture technology, including crop breeding, genetics and management. It includes the state of the art of technologies in high-throughput phenotyping, including advanced sensors, automation systems, ground-based or aerial robotic systems. It also discusses the emerging technologies of big data processing and analytics, such as advanced machine learning and deep learning technologies based on high-performance computing infrastructure. The applications cover different organ levels (root, shoot and seed) of different crops (grains, soybean, maize, potato) at different growth environments (open field and controlled environments). With the contribution of more than 20 world-leading researchers in high-throughput crop phenotyping, the authors hope this book provides readers the needed information to understand the concept, gain the insides and create the innovation of high-throughput phenotyping technology. | |
| 988 | _aSpringer_BiomedLife_2021 | ||
| 650 | 7 |
_2embne _9665995 _aPlantas cultivadas |
|
| 650 | 7 |
_2embne _aGenética vegetal _9139640 |
|
| 700 | 1 |
_aZhou, Jianfeng. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 700 | 1 |
_aNguyen, Henry T. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt |
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| 776 | 0 | 8 |
_iPrinted edition: _z9783030737337 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030737351 |
| 776 | 0 | 8 |
_iPrinted edition: _z9783030737368 |
| 856 | 4 | 0 |
_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-3-030-73734-4 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid) |
| 942 |
_2lcc _cLE |
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| 998 |
_b01/2022 _dz _ek _zSI |
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