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Produktbild: Smart Agriculture
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Smart Agriculture Practical Applications of Machine Learning and Computer Vision

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Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.03.2027

Abbildungen

schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Zainul Abdin Jaffery + weitere

Verlag

Taylor and Francis

Seitenzahl

376

Maße (L/B)

23,4/15,6 cm

Sprache

Englisch

ISBN

978-1-04-133840-6

Beschreibung

Portrait

Zainul Abdin Jaffery is at present working as a Professor in the Department of Electrical Engineering and Honorary Director of University Training and Placement, at Jamia Millia Islamia, India. He has published about 100 research papers in Electronics and Electrical Engineering in peer-reviewed international journals and conferences. His research area includes Digital signal processing, Digital image processing, biomedical image processing, soft computing techniques, and their applications in power engineering and electronics engineering. He is a senior member of IEEE (USA).

Sandeep Bhatia is working as an associate professor in the Department of Computer Science and Engineering at Galgotias University, Noida, India. He has more than fifteen years of rich experience in teaching, research, and development activities. He has published research papers in journals and conferences. His areas of research include artificial intelligence, machine learning, embedded systems, signal processing, image processing, and video processing.

Shabana Mehfuz (Senior Member, IEEE) is working as a professor in the Department of Electrical Engineering at Jamia Milia Islamia, India. She has published more than 130 articles in International/National Journals and Conferences. She is a Life Member of ISTE, a member of the Institution of Engineers, and a Life Member of the Computer Society of India. Her areas of research include cloud computing, applications of computational intelligence, artificial intelligence, Internet of Things, and wireless sensor networks.

Neha Goel, working as Professor and Deputy Head in the Department of Electronics and Communication Engineering, Raj Kumar Goel Institute of Technology, Ghaziabad, India. She has more than nineteen years of rich experience in teaching, research, and development activities. Her areas of interest are VLSI design, CMOS design, Internet of Things, and machine learning. She has published forty-five papers in national/international journals and conferences. R. K. Yadav is a Professor and Head of Electronics and Communication Engineering at Raj Kumar Goel Institute of Technology, Ghaziabad, India. He has more than twenty-two years of experience in teaching and research in the field of microwaves, EM waves, and Image processing. He has 60 papers to his credit in international/national journals, conferences, and symposiums, and he has published a book on microwave engineering. Currently, his active research is in the field of microwave engineering, image processing, and integrated circuits. He is a member of the IEEE.

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

10.03.2027

Abbildungen

schwarz-weiss Illustrationen, Raster,schwarz-weiss, Zeichnungen, schwarz-weiss, Tabellen, schwarz-weiss

Herausgeber

Verlag

Taylor and Francis

Seitenzahl

376

Maße (L/B)

23,4/15,6 cm

Sprache

Englisch

ISBN

978-1-04-133840-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Smart Agriculture
  • 1. Introduction to Smart Farming. 2. Machine Learning Basics for Agriculture. 3. Image Processing in Farming. 4. Data Collection and Preprocessing. 5. Crop Health Monitoring with Drones and Satellites. 6. Disease Detection using Convolutional Neural Network. 7. Livestock Behavior Analysis. 8. Automation with Robotics and Internet of Things. 9. Challenges: Data Scarcity, Model Interpretability. 10. Ethics in Artificial Intelligence-Driven Agriculture. 11. Future Trends: Quantum Computing, Synthetic Data. 12. Case Study: Precision Viticulture and Smart Digital Farming.