Artificial intelligence and smart agriculture applications. (2022)
- Record Type:
- Book
- Title:
- Artificial intelligence and smart agriculture applications. (2022)
- Main Title:
- Artificial intelligence and smart agriculture applications
- Further Information:
- Note: Edited by Utku Kose, V.B. Surya Prasath, M. Rubaiyat Hossain Mondal, Prajoy Podder, Subrato Bharati.
- Editors:
- Kose, Utku, 1985-
Prasath, V. B. Surya
Mondal, M. Rubaiyat Hossain
Podder, Prajoy
Bharati, Subrato - Contents:
- 1. Application of Drone and Sensors in Advanced Farming: The Future Smart Farming Technology ; Kumar Chiranjeeb, Rajani Shandilya, and Kali Charan Rath 2. Development and Research of a Greenhouse Monitoring System ; Murat Kunelbayev and Amantur Umarov 3. A Cloud-Computing Model for Implementing Smart Agriculture ; M. Zhou and C. Matsika 4. Application of Conversational Artificial Intelligence for Farmer's Advisory and Communication ; Anurag Sinha and Den Whilrex Garcia 5. The Use of an Intelligent Fuzzy Logic Controller to Predict the Global Warming Effect on Agriculture: The Case of Chickpea (Cicer arietinum L.) ; H. Chekenbah, I. El Hassani, S. El Fatehi, Y. Hmimsa, M. L. Kerkeb, and R. Lasri 6. Using Machine Learning Algorithms for Mapping Soil Macronutrient Elements Variability with Digital Environmental Data in an Alluvial Plain; Fuat Kaya and Levent Başayiğit 7. A Smart IoT Framework for Soil Fertility Enhancement Assisted via Deep Neural Networks; Sannidhan Manjaya Shetty, Jason Elroy Martis, and Sudeepa Keregadde Balakrishna 8. Plant Disease Detection with the Help of Advanced Imaging Sensors; Shivam Singh, Raina Bajpai, MD. Mahtab Rashid, Basavaraj Teli, and Gagan Kumar 9. Artificial Intelligence-Aided Phenomics in High throughput Stress Phenotyping of Plants; Debadatta Panda, M. Kumar, L. Mahalingam, M. Raveendran 10. Plant Disease Detection using Hybrid Deep Learning Architecture in Smart Agriculture Application; Murugan Subramanian, Nelson Iruthayanathan,1. Application of Drone and Sensors in Advanced Farming: The Future Smart Farming Technology ; Kumar Chiranjeeb, Rajani Shandilya, and Kali Charan Rath 2. Development and Research of a Greenhouse Monitoring System ; Murat Kunelbayev and Amantur Umarov 3. A Cloud-Computing Model for Implementing Smart Agriculture ; M. Zhou and C. Matsika 4. Application of Conversational Artificial Intelligence for Farmer's Advisory and Communication ; Anurag Sinha and Den Whilrex Garcia 5. The Use of an Intelligent Fuzzy Logic Controller to Predict the Global Warming Effect on Agriculture: The Case of Chickpea (Cicer arietinum L.) ; H. Chekenbah, I. El Hassani, S. El Fatehi, Y. Hmimsa, M. L. Kerkeb, and R. Lasri 6. Using Machine Learning Algorithms for Mapping Soil Macronutrient Elements Variability with Digital Environmental Data in an Alluvial Plain; Fuat Kaya and Levent Başayiğit 7. A Smart IoT Framework for Soil Fertility Enhancement Assisted via Deep Neural Networks; Sannidhan Manjaya Shetty, Jason Elroy Martis, and Sudeepa Keregadde Balakrishna 8. Plant Disease Detection with the Help of Advanced Imaging Sensors; Shivam Singh, Raina Bajpai, MD. Mahtab Rashid, Basavaraj Teli, and Gagan Kumar 9. Artificial Intelligence-Aided Phenomics in High throughput Stress Phenotyping of Plants; Debadatta Panda, M. Kumar, L. Mahalingam, M. Raveendran 10. Plant Disease Detection using Hybrid Deep Learning Architecture in Smart Agriculture Application; Murugan Subramanian, Nelson Iruthayanathan, Annadurai Chinnamuthu, Nirmala Devi Kathamuthu, Manikandan Ramachandran, and Ambeshwar Kumar 11. Classification of Coffee Leaf Diseases through Image Processing Techniques; Ali Hakan Işik and Ömer Can Eskicioglu 12. The Use of Artificial Intelligence to Model Oil Extraction Yields from Seeds and Nuts; Chinedu M. Agu, Charles C. Orakwue, and Albert C. Agulanna 13. Applications of Artificial Intelligence in Pest Management; Muhammad Kashif Hanif, Shouket Zaman Khan, and Maria Bibi 14. Applying Clustering Technique for Rainfall Received by Different District of Maharashtra State; Nitin Jaglal Untwal 15. Predicting Rainfall for Aurangabad Division of Maharashtra by Applying Auto-Regressive Moving Average Model (ARIMA) Using Python Programming; Nitin Jaglal Untwal … (more)
- Edition:
- 1st
- Publisher Details:
- Boca Raton : Auerbach
- Publication Date:
- 2022
- Extent:
- 1 online resource
- Subjects:
- 338.10285
Alternative agriculture
Agricultural innovations
Artificial intelligence
Agricultural informatics - Languages:
- English
- ISBNs:
- 9781000644371
9781000644333
9781003311782 - Related ISBNs:
- 9781032223575
- Notes:
- Note: Includes bibliographical references and index.
Note: Description based on CIP data; resource not viewed. - Access Rights:
- Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
- Access Usage:
- Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD.DS.709629
- Ingest File:
- 13_033.xml