| 000 | 03496cam a22005658i 4500 | ||
|---|---|---|---|
| 001 | 9781003391302 | ||
| 003 | FlBoTFG | ||
| 005 | 20251030122242.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 230719s2023 flu ob 000 0 eng | ||
| 040 |
_aOCoLC-P _beng _erda _cOCoLC-P |
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| 020 |
_a9781003391302 _q(ebk) |
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| 020 | _a1003391303 | ||
| 020 |
_a9781000991482 _q(electronic bk. : EPUB) |
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| 020 |
_a1000991482 _q(electronic bk. : EPUB) |
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| 020 |
_a9781000991475 _q(electronic bk. : PDF) |
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| 020 |
_a1000991474 _q(electronic bk. : PDF) |
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| 020 |
_z9781032479507 _q(hbk) |
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| 020 |
_z9781032488981 _q(pbk) |
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| 024 | 7 |
_a10.1201/9781003391302 _2doi |
|
| 035 | _a(OCoLC)1395553561 | ||
| 035 | _a(OCoLC-P)1395553561 | ||
| 050 | 0 | 0 | _aS494.5.D3 |
| 072 | 7 |
_aCOM _x094000 _2bisacsh |
|
| 072 | 7 |
_aTEC _x003080 _2bisacsh |
|
| 072 | 7 |
_aTEC _x003030 _2bisacsh |
|
| 072 | 7 |
_aUYQ _2bicssc |
|
| 245 | 0 | 0 |
_aPredictive analytics in smart agriculture / _c[edited by] Saravanan Krishnan, A. Jose Anand, Narayanan Prasanth, Sam Goundar, and Christo Ananth. |
| 250 | _aFirst edition. | ||
| 264 | 1 |
_aBoca Raton, FL : _bCRC Press, _c2023. |
|
| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 520 |
_a"This book explores computational engineering techniques and applications in agriculture development. Recent technologies such as cloud computing, IoT, big data, and machine learning are focused on for smart agricultural engineering. This book provides practical and use case oriented approaches for IOT-based agricultural systems. Predictive Analysis in Smart Agriculture deals with all aspects of smart agriculture with state-of-the-art predictive analysis in the complete 360-degree view spectrum. The book includes the concepts of urban and vertical farming using Agro IoT systems and renewable energy sources for modern agriculture trends. It discusses the real-world challenges, complexities in Agro IoT, and advantages of incorporating smart technology. It also presents the rapid advancement of the technologies in the existing Agri model by applying the various techniques. Novel architectural solutions in smart agricultural engineering are the core aspects of this book. Several predictive analysis tools and smart agriculture are also incorporated. This book can be used as a textbook for students in predictive analysis, agriculture engineering, precision farming, and smart agriculture. It can also be a reference book for practicing professionals in cloud computing, IoT, big data, machine learning, and deep learning working on smart agriculture applications"-- _cProvided by publisher. |
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| 588 | _aOCLC-licensed vendor bibliographic record. | ||
| 650 | 0 |
_aArtificial intelligence _xAgricultural applications. _994195 |
|
| 650 | 0 |
_aPredictive analytics. _994196 |
|
| 650 | 0 |
_aAgricultural innovations. _959657 |
|
| 650 | 0 |
_aMachine learning. _955059 |
|
| 650 | 0 |
_aInternet of things. _958845 |
|
| 650 | 7 |
_aTECHNOLOGY / Agriculture / Crop Science _2bisacsh _994197 |
|
| 700 | 1 |
_aSaravanan, Krishnan, _d1982- _eeditor. _992739 |
|
| 856 | 4 | 0 |
_3Taylor & Francis _uhttps://www.taylorfrancis.com/books/9781003391302 |
| 856 | 4 | 2 |
_3OCLC metadata license agreement _uhttp://www.oclc.org/content/dam/oclc/forms/terms/vbrl-201703.pdf |
| 942 | _cE-Books | ||
| 999 |
_c67733 _d67733 |
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