000			03673nam a2200505 i 4500
999			_c382796 _d382796
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003			ES-MaUEC
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007			cr nn 008mamaa
008			220517s2022 si | o |||| 0|eng d
020			_a9789811920271
024	7		_a10.1007/978-981-19-2027-1 _2doi
040			_aES-MaUEC _bspa _cES-MaUEC _dES-MaUEC
050		4	_aS494.5.I5 _b2022 EB
245	0	0	_aUnmanned Aerial Systems in Precision Agriculture : _bTechnological Progresses and Applications _cedited by Zhao Zhang, Hu Liu, Ce Yang, Yiannis Ampatzidis, Jianfeng Zhou, Yu Jiang
250			_a1st edition 2022
264		1	_aSingapore _bSpringer International Publishing _c2022
300			_a1 recurso en línea (V, 136 páginas) _b68 ilustraciones, 60 ilustraciones a color
336			_atexto _btxt _2rdacontent
337			_aelectrónico _bc _2rdamedia
338			_arecurso electrónico _bcr _2rdacarrier
347			_aarchivo de texto _bPDF
490	0		_aSmart Agriculture _x2731-3484 _v2
505	0		_aApplications of UAVs and machine learning in agriculture -- Robot Operating System Powered Data Acquisition for Unmanned Aircraft Systems in Digital Agriculture -- Unmanned aerial vehicle (UAV) applications in cotton production -- Time effect after initial wheat lodging on plot lodging ratio detection using UAV imagery and deep learning -- UAV mission height effects on wheat lodging ratio detection -- Wheat-Net: An Automatic Dense Wheat Spike Segmentation Method Based on An Optimized Hybrid Task Cascade Model -- UAV multispectral remote sensing for yellow rust mapping: opportunities and challenges -- Corn Goss's Wilt disease assessment based on UAV imagery.
520			_aThis book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers with a wide range of subjects. In addition to researchers in the areas of plant science, plant pathology, breeding, engineering, it is also intended for undergraduates and graduates who are interested in imaging processing, artificial intelligence in agriculture, precision agriculture, agricultural automation, and robotics.
988			_aSpringer_BiomedLife_2022
650		7	_2embne _9205076 _aAgricultura _xInnovaciones tecnológicas
700	1		_aZhang, Zhao. _eeditor literario
700	1		_aLiu, Hu. _eeditor literario
700	1		_aYang, Ce. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aAmpatzidis, Yiannis. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aZhou, Jianfeng. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
700	1		_aJiang, Yu. _eeditor literario _4edt _4http://id.loc.gov/vocabulary/relators/edt
773	0		_tSpringer Nature eBook
776	0	8	_iPrinted edition: _z9789811920264
776	0	8	_iPrinted edition: _z9789811920288
776	0	8	_iPrinted edition: _z9789811920295
856	4	0	_uhttps://go.openathens.net/redirector/universidadeuropea.es?url=https://doi.org/10.1007/978-981-19-2027-1 _zAcceso a este recurso digital (usuarios Universidad Europea de Madrid)
942			_2lcc _cLE
998			_b09/2022 _dz _eel _zSI