| Record Type: |
Electronic resources
: Monograph/item
|
| [NT 15000414]: |
338.10285 |
| Title/Author: |
Artificial intelligence and IoT-based technologies for sustainable farming and smart agriculture/ Pradeep Tomar and Gurjit Kaur, edtors. |
| other author: |
Tomar, Pradeep, |
| Published: |
Hershey, Pennsylvania : : IGI Global,, 2020. |
| Description: |
1 online resource (xxv, 400 p.) |
| Subject: |
Artificial intelligence - Agricultural applications. |
| Subject: |
Internet of things. |
| Subject: |
Sustainable agriculture. |
| ISBN: |
9781799817246 (ebk.) |
| ISBN: |
9781799817222 (hbk.) |
| ISBN: |
9781799817239 (pbk.) |
| [NT 15000227]: |
Includes bibliographical references and index. |
| [NT 15000228]: |
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. |
| [NT 15000229]: |
""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"-- |
| Online resource: |
http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/978-1-7998-1722-2 |