Special Issue "State-of-the-Art Sensors Technology in Spain 2013"

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A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "State-of-the-Art Sensors Technologies".

Deadline for manuscript submissions: closed (30 December 2013)

Special Issue Editor

Guest Editor
Prof. Dr. Gonzalo Pajares Martinsanz
Dpt. Software Engineering and Artificial Intelligence, Faculty of Informatics, University Complutense of Madrid, 28040 Madrid, Spain
E-Mail: pajares@fdi.ucm.es
Interests: computer vision; image processing; pattern recognition; 3D image reconstruction, spatio-temporal image change detection and track movement; fusion and registering from imaging sensors; superresolution from low-resolution image sensors

Special Issue Information

Dear Colleagues,

The aim of this Special Issue is to provide a comprehensive view on the state-of-the-art sensors technology in Spain. Research articles are invited, which will provide a consolidated state-of-the-art in this area. The Special Issue will publish full research, review and high rated manuscripts addressing the above topic.

Prof. Dr. Gonzalo Pajares Martinsanz
Guest Editor

Submission

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. Papers will be published continuously (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are refereed through a peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sensors is an international peer-reviewed Open Access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs).


Keywords

  • biosensors
  • chemical sensors
  • physical sensors

Published Papers (73 papers)

Sensors 2014, 14(4), 6734-6757; doi:10.3390/s140406734
Received: 20 January 2014; in revised form: 22 March 2014 / Accepted: 27 March 2014 / Published: 11 April 2014
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Sensors 2014, 14(4), 6317-6337; doi:10.3390/s140406317
Received: 6 January 2014; in revised form: 19 March 2014 / Accepted: 26 March 2014 / Published: 2 April 2014
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Sensors 2014, 14(4), 6247-6278; doi:10.3390/s140406247
Received: 30 December 2013; in revised form: 20 March 2014 / Accepted: 21 March 2014 / Published: 31 March 2014
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Sensors 2014, 14(3), 5278-5295; doi:10.3390/s140305278
Received: 30 December 2013; in revised form: 12 February 2014 / Accepted: 13 February 2014 / Published: 14 March 2014
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Sensors 2014, 14(3), 4856-4875; doi:10.3390/s140304856
Received: 31 December 2013; in revised form: 28 January 2014 / Accepted: 28 February 2014 / Published: 10 March 2014
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Sensors 2014, 14(3), 4672-4688; doi:10.3390/s140304672
Received: 25 December 2013; in revised form: 20 February 2014 / Accepted: 24 February 2014 / Published: 7 March 2014
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Sensors 2014, 14(3), 4495-4512; doi:10.3390/s140304495
Received: 25 December 2013; in revised form: 8 February 2014 / Accepted: 3 March 2014 / Published: 6 March 2014
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Sensors 2014, 14(3), 4484-4494; doi:10.3390/s140304484
Received: 23 December 2013; in revised form: 28 February 2014 / Accepted: 3 March 2014 / Published: 6 March 2014
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Sensors 2014, 14(3), 4466-4483; doi:10.3390/s140304466
Received: 13 January 2014; in revised form: 21 February 2014 / Accepted: 4 March 2014 / Published: 6 March 2014
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Sensors 2014, 14(3), 4189-4210; doi:10.3390/s140304189
Received: 29 November 2013; in revised form: 30 January 2014 / Accepted: 9 February 2014 / Published: 3 March 2014
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Sensors 2014, 14(3), 4086-4110; doi:10.3390/s140304086
Received: 13 January 2014; in revised form: 19 February 2014 / Accepted: 24 February 2014 / Published: 27 February 2014
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Sensors 2014, 14(3), 4014-4049; doi:10.3390/s140304014
Received: 7 January 2014; in revised form: 11 February 2014 / Accepted: 13 February 2014 / Published: 26 February 2014
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Sensors 2014, 14(3), 3965-3985; doi:10.3390/s140303965
Received: 24 December 2013; in revised form: 23 January 2014 / Accepted: 19 February 2014 / Published: 26 February 2014
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Sensors 2014, 14(3), 3921-3938; doi:10.3390/s140303921
Received: 18 December 2013; in revised form: 3 February 2014 / Accepted: 12 February 2014 / Published: 26 February 2014
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Sensors 2014, 14(2), 3408-3427; doi:10.3390/s140203408
Received: 27 December 2013; in revised form: 30 January 2014 / Accepted: 17 February 2014 / Published: 19 February 2014
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Sensors 2014, 14(2), 3033-3064; doi:10.3390/s140203033
Received: 26 December 2013; in revised form: 1 February 2014 / Accepted: 7 February 2014 / Published: 14 February 2014
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Sensors 2014, 14(2), 3019-3032; doi:10.3390/s140203019
Received: 29 December 2013; in revised form: 31 January 2014 / Accepted: 10 February 2014 / Published: 14 February 2014
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Sensors 2014, 14(2), 2981-3000; doi:10.3390/s140202981
Received: 25 December 2013; in revised form: 28 January 2014 / Accepted: 8 February 2014 / Published: 14 February 2014
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Sensors 2014, 14(2), 2911-2943; doi:10.3390/s140202911
Received: 12 December 2013; in revised form: 23 January 2014 / Accepted: 27 January 2014 / Published: 12 February 2014
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Sensors 2014, 14(2), 2663-2682; doi:10.3390/s140202663
Received: 2 January 2014; in revised form: 26 January 2014 / Accepted: 29 January 2014 / Published: 10 February 2014
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Sensors 2014, 14(2), 2468-2475; doi:10.3390/s140202468
Received: 20 December 2013; in revised form: 24 January 2014 / Accepted: 24 January 2014 / Published: 5 February 2014
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Sensors 2014, 14(2), 1961-1987; doi:10.3390/s140201961
Received: 16 December 2013; in revised form: 14 January 2014 / Accepted: 17 January 2014 / Published: 24 January 2014
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Sensors 2014, 14(1), 1106-1131; doi:10.3390/s140101106
Received: 30 October 2013; in revised form: 17 December 2013 / Accepted: 18 December 2013 / Published: 9 January 2014
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Sensors 2014, 14(1), 795-833; doi:10.3390/s140100795
Received: 1 November 2013; in revised form: 24 November 2013 / Accepted: 27 November 2013 / Published: 6 January 2014
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Sensors 2014, 14(1), 691-708; doi:10.3390/s140100691
Received: 25 October 2013; in revised form: 16 November 2013 / Accepted: 18 November 2013 / Published: 2 January 2014
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Sensors 2014, 14(1), 606-633; doi:10.3390/s140100606
Received: 14 November 2013; in revised form: 24 December 2013 / Accepted: 26 December 2013 / Published: 2 January 2014
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Sensors 2014, 14(1), 549-563; doi:10.3390/s140100549
Received: 8 October 2013; in revised form: 19 December 2013 / Accepted: 19 December 2013 / Published: 31 December 2013
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Sensors 2014, 14(1), 416-430; doi:10.3390/s140100416
Received: 21 October 2013; in revised form: 26 November 2013 / Accepted: 20 December 2013 / Published: 27 December 2013
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Sensors 2014, 14(1), 129-143; doi:10.3390/s140100129
Received: 24 September 2013; in revised form: 12 December 2013 / Accepted: 12 December 2013 / Published: 20 December 2013
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Sensors 2013, 13(12), 17516-17533; doi:10.3390/s131217516
Received: 4 October 2013; in revised form: 5 December 2013 / Accepted: 9 December 2013 / Published: 17 December 2013
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Sensors 2013, 13(12), 17292-17321; doi:10.3390/s131217292
Received: 5 November 2013; in revised form: 2 December 2013 / Accepted: 13 December 2013 / Published: 16 December 2013
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Sensors 2013, 13(12), 16894-16914; doi:10.3390/s131216894
Received: 16 October 2013; in revised form: 18 November 2013 / Accepted: 3 December 2013 / Published: 6 December 2013
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Sensors 2013, 13(12), 16829-16850; doi:10.3390/s131216829
Received: 31 October 2013; in revised form: 29 November 2013 / Accepted: 29 November 2013 / Published: 6 December 2013
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Sensors 2013, 13(11), 15805-15832; doi:10.3390/s131115805
Received: 5 October 2013; in revised form: 11 November 2013 / Accepted: 13 November 2013 / Published: 20 November 2013
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Sensors 2013, 13(11), 15307-15323; doi:10.3390/s131115307
Received: 3 September 2013; in revised form: 3 November 2013 / Accepted: 4 November 2013 / Published: 8 November 2013
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Sensors 2013, 13(11), 15113-15137; doi:10.3390/s131115113
Received: 23 September 2013; in revised form: 23 October 2013 / Accepted: 24 October 2013 / Published: 5 November 2013
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Sensors 2013, 13(11), 14687-14713; doi:10.3390/s131114687
Received: 10 September 2013; in revised form: 2 October 2013 / Accepted: 21 October 2013 / Published: 29 October 2013
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Sensors 2013, 13(11), 14662-14675; doi:10.3390/s131114662
Received: 8 October 2013; in revised form: 22 October 2013 / Accepted: 25 October 2013 / Published: 29 October 2013
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Sensors 2013, 13(11), 14438-14465; doi:10.3390/s131114438
Received: 10 September 2013; in revised form: 14 October 2013 / Accepted: 18 October 2013 / Published: 25 October 2013
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Sensors 2013, 13(11), 14277-14300; doi:10.3390/s131114277
Received: 29 July 2013; in revised form: 17 October 2013 / Accepted: 17 October 2013 / Published: 24 October 2013
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Sensors 2013, 13(10), 14133-14160; doi:10.3390/s131014133
Received: 26 August 2013; in revised form: 9 October 2013 / Accepted: 10 October 2013 / Published: 21 October 2013
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Sensors 2013, 13(10), 13960-13968; doi:10.3390/s131013960
Received: 16 September 2013; in revised form: 10 October 2013 / Accepted: 11 October 2013 / Published: 16 October 2013
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Sensors 2013, 13(10), 13917-13927; doi:10.3390/s131013917
Received: 18 July 2013; in revised form: 11 September 2013 / Accepted: 4 October 2013 / Published: 15 October 2013
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Sensors 2013, 13(10), 13584-13595; doi:10.3390/s131013584
Received: 23 July 2013; in revised form: 22 September 2013 / Accepted: 30 September 2013 / Published: 10 October 2013
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Sensors 2013, 13(10), 13143-13162; doi:10.3390/s131013143
Received: 1 August 2013; in revised form: 10 September 2013 / Accepted: 22 September 2013 / Published: 27 September 2013
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Sensors 2013, 13(9), 12698-12743; doi:10.3390/s130912698
Received: 24 June 2013; in revised form: 6 September 2013 / Accepted: 17 September 2013 / Published: 23 September 2013
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Sensors 2013, 13(9), 12648-12662; doi:10.3390/s130912648
Received: 1 August 2013; in revised form: 3 September 2013 / Accepted: 9 September 2013 / Published: 18 September 2013
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Sensors 2013, 13(9), 12345-12374; doi:10.3390/s130912345
Received: 19 July 2013; in revised form: 2 September 2013 / Accepted: 3 September 2013 / Published: 13 September 2013
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Sensors 2013, 13(9), 12044-12069; doi:10.3390/s130912044
Received: 22 July 2013; in revised form: 26 August 2013 / Accepted: 30 August 2013 / Published: 10 September 2013
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Sensors 2013, 13(9), 11998-12011; doi:10.3390/s130911998
Received: 25 July 2013; in revised form: 3 September 2013 / Accepted: 3 September 2013 / Published: 9 September 2013
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Sensors 2013, 13(9), 11842-11860; doi:10.3390/s130911842
Received: 26 June 2013; in revised form: 2 August 2013 / Accepted: 29 August 2013 / Published: 6 September 2013
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Sensors 2013, 13(9), 11797-11817; doi:10.3390/s130911797
Received: 29 July 2013; in revised form: 29 August 2013 / Accepted: 3 September 2013 / Published: 5 September 2013
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Sensors 2013, 13(9), 11772-11781; doi:10.3390/s130911772
Received: 1 July 2013; in revised form: 26 August 2013 / Accepted: 30 August 2013 / Published: 5 September 2013
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Sensors 2013, 13(9), 11709-11727; doi:10.3390/s130911709
Received: 29 June 2013; in revised form: 29 July 2013 / Accepted: 29 August 2013 / Published: 4 September 2013
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Sensors 2013, 13(9), 11687-11708; doi:10.3390/s130911687
Received: 5 July 2013; in revised form: 27 August 2013 / Accepted: 30 August 2013 / Published: 4 September 2013
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Sensors 2013, 13(9), 11603-11635; doi:10.3390/s130911603
Received: 25 June 2013; in revised form: 27 August 2013 / Accepted: 31 August 2013 / Published: 4 September 2013
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Sensors 2013, 13(9), 11407-11423; doi:10.3390/s130911407
Received: 13 July 2013; in revised form: 20 August 2013 / Accepted: 21 August 2013 / Published: 26 August 2013
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Sensors 2013, 13(8), 10981-11006; doi:10.3390/s130810981
Received: 8 June 2013; in revised form: 15 August 2013 / Accepted: 19 August 2013 / Published: 20 August 2013
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Sensors 2013, 13(8), 10674-10710; doi:10.3390/s130810674
Received: 28 June 2013; in revised form: 3 August 2013 / Accepted: 9 August 2013 / Published: 16 August 2013
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Sensors 2013, 13(8), 10418-10429; doi:10.3390/s130810418
Received: 24 June 2013; in revised form: 6 August 2013 / Accepted: 6 August 2013 / Published: 13 August 2013
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Sensors 2013, 13(8), 10287-10305; doi:10.3390/s130810287
Received: 27 June 2013; in revised form: 5 August 2013 / Accepted: 8 August 2013 / Published: 9 August 2013
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Sensors 2013, 13(8), 10245-10272; doi:10.3390/s130810245
Received: 27 June 2013; in revised form: 6 August 2013 / Accepted: 7 August 2013 / Published: 9 August 2013
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Sensors 2013, 13(8), 10219-10244; doi:10.3390/s130810219
Received: 27 June 2013; in revised form: 30 July 2013 / Accepted: 2 August 2013 / Published: 9 August 2013
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Sensors 2013, 13(8), 10027-10051; doi:10.3390/s130810027
Received: 1 July 2013; in revised form: 1 August 2013 / Accepted: 2 August 2013 / Published: 6 August 2013
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Sensors 2013, 13(8), 9941-9965; doi:10.3390/s130809941
Received: 21 May 2013; in revised form: 27 June 2013 / Accepted: 27 July 2013 / Published: 5 August 2013
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Sensors 2013, 13(8), 9729-9746; doi:10.3390/s130809729
Received: 25 June 2013; in revised form: 16 July 2013 / Accepted: 23 July 2013 / Published: 29 July 2013
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Sensors 2013, 13(7), 9396-9413; doi:10.3390/s130709396
Received: 15 May 2013; in revised form: 12 July 2013 / Accepted: 18 July 2013 / Published: 22 July 2013
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Sensors 2013, 13(7), 8895-8915; doi:10.3390/s130708895
Received: 7 May 2013; in revised form: 3 July 2013 / Accepted: 4 July 2013 / Published: 12 July 2013
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Sensors 2013, 13(6), 8000-8012; doi:10.3390/s130608000
Received: 26 April 2013; in revised form: 10 June 2013 / Accepted: 11 June 2013 / Published: 21 June 2013
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Sensors 2013, 13(6), 7838-7859; doi:10.3390/s130607838
Received: 6 May 2013; in revised form: 13 June 2013 / Accepted: 17 June 2013 / Published: 19 June 2013
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Sensors 2013, 13(6), 7786-7796; doi:10.3390/s130607786
Received: 6 April 2013; in revised form: 4 June 2013 / Accepted: 6 June 2013 / Published: 18 June 2013
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Sensors 2013, 13(4), 5381-5402; doi:10.3390/s130405381
Received: 21 February 2013; in revised form: 12 April 2013 / Accepted: 12 April 2013 / Published: 22 April 2013
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Sensors 2013, 13(4), 5220-5250; doi:10.3390/s130405220
Received: 21 February 2013; in revised form: 8 April 2013 / Accepted: 12 April 2013 / Published: 19 April 2013
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Planned Papers

The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.

Title: Plant Biometrics: The Key to Prediction
Authors: Francisco Rovira-Más and Verónica Sáiz-Rubio
Affiliation: Agricultural Robotics Laboratory, Polytechnic University of Valencia, Spain
Abstract: The sustainability of agricultural production in the twenty-first century, both in industrialized and developing countries, benefits from the integration of farm management with information technology (IT) such that individual plants, rows, or subfields may be endowed with a singular “identity.” This approach approximates the nature of agricultural processes to the engineering of industrial processes. In order to cope with the vast variability of nature and the uncertainties of working outdoors, the concept of plant biometrics is defined as the scientific analysis of agricultural observations confined to spaces of reduced dimensions and known position with the purpose of building prediction models. This article develops the idea of plant biometrics by setting its principles, explaining the selection of plant biometric traits, discussing the way to quantize traits, and analyzing the mathematical relationships among selected traits and crop predictions. The methodology of plant biometrics was applied to the case of a wine-production vineyard. The chosen biometric traits were vegetation amount, relative altitude in the field, soil compaction, berry size, grape yield, juice PH, and grape sugar content. Reduced soil compaction and low altitudes (higher accumulation of water) were well correlated with large canopies, which in turn indicated higher yield, bigger berry size, and upper acidity. However, the sugar content of the grapes was evenly distributed in the field and therefore uncorrelated to yield, vegetation, altitude, or soil compaction. Various prediction models for grape yield as a function of significant biometric traits are presented as a strategic tool for vineyard growers.

Type of Paper: Review
Title:
Review of Existing Hardware Solutions in Apnea Diagnosis and Monitoring
Authors:
B. García Zapirain, M. Viqueira, A. Méndez Zorrilla
Affiliation:
DeustoTech-Life Unit, DeustoTech Institute of Technology. University of Deusto. Bilbao, Spain; E-Mail: amaia.mendez@deusto.es
Abstract:
This article presents the state of the art concerning sensors and ICT developments for the analysis and monitoring of sleep quality. In particular, in this work we have focused on the problem of sleep APNEA, due to its great impact both on the patients and the quality of life during their daily activity. Therefore, both the suitable sensors to be used and the subsequent processing that should accompany the sensors’ signals are included, in such a way that they allow carrying out both an analysis of the sleep quality and a possible diagnosis associated with level of apnea. The comparison criteria include the intrusion that will entail the device in its use by the patient, precision, price, type of communication or the modalities of transmitting data, among others.
Keywords:
sleep quality; Apnea; health, sensors

Last update: 10 September 2013

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