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Artificial intelligence and IoT-base...
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Kaur, Gurjit, (1980-)
Artificial intelligence and IoT-based technologies for sustainable farming and smart agriculture
Record Type:
Electronic resources : Monograph/item
Title/Author:
Artificial intelligence and IoT-based technologies for sustainable farming and smart agriculturePradeep Tomar and Gurjit Kaur, edtors.
other author:
Tomar, Pradeep,
Published:
Hershey, Pennsylvania :IGI Global,2020.
Description:
1 online resource (xxv, 400 p.)
Subject:
Artificial intelligenceAgricultural applications.
Online resource:
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1722-2
ISBN:
9781799817246 (ebk.)
Artificial intelligence and IoT-based technologies for sustainable farming and smart agriculture
Artificial intelligence and IoT-based technologies for sustainable farming and smart agriculture
[electronic resource] /Pradeep Tomar and Gurjit Kaur, edtors. - Hershey, Pennsylvania :IGI Global,2020. - 1 online resource (xxv, 400 p.)
Includes bibliographical references and index.
Chapter 1. Digitization in agriculture: insight into the networked world -- Chapter 2. Artificial intelligence and its applications in agriculture with the future of smart agriculture techniques -- Chapter 3. Artificial and natural intelligence techniques as IoP- and IoT-based technologies for sustainable farming and smart agriculture -- Chapter 4. Digital technologies for smart agriculture -- Chapter 5. Farming automation -- Chapter 6. Food 4.0: an introduction -- Chapter 7. Emerging technological model to sustainable agriculture -- Chapter 8. Synergistic technologies for precision agriculture -- Chapter 9. Use of smart farming techniques to mitigate water scarcity -- Chapter 10. Smart agriculture with autonomous unmanned ground and air vehicles: approaches to calculating optimal number of stops in harvest optimization and a suggestion -- Chapter 11. Smart sensors for smart agriculture -- Chapter 12. Smart agriculture using WSN and IoT -- Chapter 13. Smart soil monitoring system for smart agriculture -- Chapter 14. Real-time crop monitoring in agriculture -- Chapter 15. WSN, APSim, and communication model-based irrigation optimization for horticulture crops in real time -- Chapter 16. Using drones in smart farming -- Chapter 17. Disease monitoring of cucumber in polyhouse through IoT-based mobile application -- Chapter 18. Artificial intelligence in integrated pest management -- Chapter 19. Application of convoluted neural network and its architectures for fungal plant disease detection -- Chapter 20. Deep learning applications in agriculture: the role of deep learning in smart agriculture -- Chapter 21. Development of a solar-powered greenhouse integrated with SMS and web notification systems.
""This book explores the application and use of future internet ICTs in the smart agriculture sector by Identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture"--Provided by publisher"--
ISBN: 9781799817246 (ebk.)Subjects--Topical Terms:
803531
Artificial intelligence
--Agricultural applications.
LC Class. No.: S494.5.D3 / A78 2020
Dewey Class. No.: 338.10285
Artificial intelligence and IoT-based technologies for sustainable farming and smart agriculture
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Chapter 1. Digitization in agriculture: insight into the networked world -- Chapter 2. Artificial intelligence and its applications in agriculture with the future of smart agriculture techniques -- Chapter 3. Artificial and natural intelligence techniques as IoP- and IoT-based technologies for sustainable farming and smart agriculture -- Chapter 4. Digital technologies for smart agriculture -- Chapter 5. Farming automation -- Chapter 6. Food 4.0: an introduction -- Chapter 7. Emerging technological model to sustainable agriculture -- Chapter 8. Synergistic technologies for precision agriculture -- Chapter 9. Use of smart farming techniques to mitigate water scarcity -- Chapter 10. Smart agriculture with autonomous unmanned ground and air vehicles: approaches to calculating optimal number of stops in harvest optimization and a suggestion -- Chapter 11. Smart sensors for smart agriculture -- Chapter 12. Smart agriculture using WSN and IoT -- Chapter 13. Smart soil monitoring system for smart agriculture -- Chapter 14. Real-time crop monitoring in agriculture -- Chapter 15. WSN, APSim, and communication model-based irrigation optimization for horticulture crops in real time -- Chapter 16. Using drones in smart farming -- Chapter 17. Disease monitoring of cucumber in polyhouse through IoT-based mobile application -- Chapter 18. Artificial intelligence in integrated pest management -- Chapter 19. Application of convoluted neural network and its architectures for fungal plant disease detection -- Chapter 20. Deep learning applications in agriculture: the role of deep learning in smart agriculture -- Chapter 21. Development of a solar-powered greenhouse integrated with SMS and web notification systems.
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1722-2
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EB S494.5.D3 A78 2020 2020
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http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1722-2
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