Artificial Intelligence and Smart Agriculture Applications (eBook, PDF)

Redaktion: Kose, Utku; Bharati, Subrato; Podder, Prajoy; Mondal, M. Rubaiyat Hossain; Prasath, V. B. Surya

• Format: PDF

Produktbeschreibung

In this book, the recent applications of Artificial Intelligence for smart agriculture have been gathered to provide a valuable source for the literature. Applications vary from use of Machine and Deep Learning to image processing systems. The book aims to provide information on smart methods and intense data processing phases.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 355
• Erscheinungstermin: 7. September 2022
• Englisch
• ISBN-13: 9781000644333
• Artikelnr.: 64356717

Autorenporträt

Dr. Utku Kose is Associate Professor in Suleyman Demirel University, Turkey. He has more than 100 publications including articles, authored and edited books, proceedings, and reports. V.B. Surya Prasath is an assistant professor in the Division of Biomedical Informatics at the Cincinnati Children's Hospital Medical Center, and at the Departments of Biomedical Informatics, Electrical Engineering and Computer Science, University of Cincinnati from 2018. M. Rubaiyat Hossain Mondal is a faculty member at the Institute of Information and Communication Technology (IICT) in BUET, Bangladesh. He has published a number of papers in journals of IEEE, IET, Elsevier, Springer, Wiley, De Gruyter, PLOS, and MDPI. Prajoy Podder is currently a researcher at the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology. He worked as a lecturer in the department of Electrical and Electronic Engineering, Ranada Prasad Shaha University, Narayanganj, Bangladesh. Subrato Bharati is a researcher in the Institute of Information and Communication Technology, Bangladesh University of Engineering and Technology, Dhaka, Bangladesh. He is a regular reviewer of a number of international journal including Elsevier, Springer, and Wiley.

Inhaltsangabe

1. Application of Drone and Sensors in Advanced Farming: The Future Smart
Farming Technology. 2. Development and Research of a Greenhouse Monitoring
System. 3. A Cloud-Computing Model for Implementing Smart Agriculture. 4.
Application of Conversational Artificial Intelligence for Farmer's Advisory
and Communication. 5. The Use of an Intelligent Fuzzy Logic Controller to
Predict the Global Warming Effect on Agriculture: The Case of Chickpea (
Cicer arietinum L.) 6. Using Machine Learning Algorithms for Mapping Soil
Macronutrient Elements Variability with Digital Environmental Data in an
Alluvial Plain. 7. A Smart IoT Framework for Soil Fertility Enhancement
Assisted via Deep Neural Networks. 8. Plant Disease Detection with the Help
of Advanced Imaging Sensors. 9. Artificial Intelligence-Aided Phenomics in
High throughput Stress Phenotyping of Plants. 10. Plant Disease Detection
using Hybrid Deep Learning Architecture in Smart Agriculture Application.
11. Classification of Coffee Leaf Diseases through Image Processing
Techniques. 12. The Use of Artificial Intelligence to Model Oil Extraction
Yields from Seeds and Nuts. 13. Applications of Artificial Intelligence in
Pest Management. 14. Applying Clustering Technique for Rainfall Received by
Different District of Maharashtra State. 15. Predicting Rainfall for
Aurangabad Division of Maharashtra by Applying Auto-Regressive Moving
Average Model (ARIMA) Using Python Programming.