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Intelligent data mining and fusion systems in agriculture /
Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artifi...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
London, United Kingdom :
Academic Press, an imprint of Elsevier,
[2020]
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| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 003 | OCoLC | ||
| 005 | 20231120010417.0 | ||
| 006 | m o d | ||
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| 008 | 191022t20202020enk ob 001 0 eng d | ||
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| 020 | |a 9780128143926 |q (electronic bk.) | ||
| 020 | |a 0128143924 |q (electronic bk.) | ||
| 020 | |z 9780128143919 |q (print) | ||
| 020 | |z 0128143916 |q (print) | ||
| 035 | |a (OCoLC)1124761701 |z (OCoLC)1124588281 | ||
| 050 | 4 | |a S494.5.D3 | |
| 082 | 0 | 4 | |a 338.10285 |2 23 |
| 100 | 1 | |a Pantazi, Xanthoula-Eirini, |e author. | |
| 245 | 1 | 0 | |a Intelligent data mining and fusion systems in agriculture / |c Xanthoula-Eirini Pantazi, Dimitrios Moshou, Dionysis Bochtis |
| 264 | 1 | |a London, United Kingdom : |b Academic Press, an imprint of Elsevier, |c [2020] | |
| 264 | 4 | |c �2020 | |
| 300 | |a 1 online resource (323 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 520 | |a Intelligent Data Mining and Fusion Systems in Agriculture presents methods of computational intelligence and data fusion that have applications in agriculture for the non-destructive testing of agricultural products and crop condition monitoring. Sections cover the combination of sensors with artificial intelligence architectures in precision agriculture, including algorithms, bio-inspired hierarchical neural maps, and novelty detection algorithms capable of detecting sudden changes in different conditions. This book offers advanced students and entry-level professionals in agricultural science and engineering, geography and geoinformation science an in-depth overview of the connection between decision-making in agricultural operations and the decision support features offered by advanced computational intelligence algorithms. Covers crop protection, automation in agriculture, artificial intelligence in agriculture, sensing and Internet of Things (IoTs) in agricultureAddresses AI use in weed management, disease detection, yield prediction and crop productionUtilizes case studies to provide real-world insights and direction | ||
| 504 | |a Includes bibliographical references and index | ||
| 505 | 0 | |a Sensors in agriculture -- Artificial intelligence in agriculture -- Utilization of multisensors and data fusion in precision agriculture -- Tutorial I : Weed detection -- Tutorial II : Disease detection with fusion techniques -- Tutorial III : Disease and nutrient stress detection -- Tutorial IV : Leaf disease recognition -- Tutorial V : Yield prediction -- Tutorial VI : Postharvest phenotyping -- General overview of the proposed data mining and fusion techniques in agriculture | |
| 588 | 0 | |a Print version record | |
| 650 | 0 | |a Agriculture |x Data processing. | |
| 650 | 0 | |a Data mining. | |
| 650 | 0 | |a Artificial intelligence |x Agricultural applications. | |
| 650 | 2 | |a Data Mining |0 (DNLM)D057225 | |
| 650 | 6 | |a Agriculture |x Informatique. |0 (CaQQLa)201-0276552 | |
| 650 | 6 | |a Exploration de donn�ees (Informatique) |0 (CaQQLa)201-0300292 | |
| 650 | 6 | |a Intelligence artificielle |x Applications agricoles. |0 (CaQQLa)201-0276653 | |
| 650 | 7 | |a Agriculture |x Data processing |2 fast |0 (OCoLC)fst00801402 | |
| 650 | 7 | |a Artificial intelligence |x Agricultural applications |2 fast |0 (OCoLC)fst00817248 | |
| 650 | 7 | |a Data mining |2 fast |0 (OCoLC)fst00887946 | |
| 700 | 1 | |a Moshou, Dimitrios, |e author. | |
| 700 | 1 | |a Bochtis, Dionysis, |e author. | |
| 776 | 0 | 8 | |i Print version: |a PANTAZI, XANTHOULA EIRINI. MOSHOU, DIMITRIOS. BOCHTIS, DIONYSIS. |t INTELLIGENT DATA MINING AND FUSION SYSTEMS IN AGRICULTURE. |d [S.l.] : ELSEVIER ACADEMIC PRESS, 2019 |z 0128143916 |w (OCoLC)1089574930 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780128143919 |z Texto completo |