Data-Driven Farming (PDF)
Harnessing the Power of AI and Machine Learning in Agriculture
(Sprache: Englisch)
The book provides a detailed overview of the intersection of data, AI, and machine learning in agriculture. Offering real-world examples and case studies, it demonstrates how AI can help improve efficiency, reduce waste, and increase profitability.
Erscheint am 13.06.2024
eBook (pdf)
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Produktdetails
Produktinformationen zu „Data-Driven Farming (PDF)“
The book provides a detailed overview of the intersection of data, AI, and machine learning in agriculture. Offering real-world examples and case studies, it demonstrates how AI can help improve efficiency, reduce waste, and increase profitability.
Autoren-Porträt
Dr. Syed Nisar Hussain Bukhari holds a PhD in Computer Science from Chandigarh University India. His research interests include artificial intelligence and machine learning, deep learning, applying AI and ML in interdisplinary areas like Agriculture, Health care. His other work areas are bioinformatics, Immunoinformatics and computational biology and has taught courses on Artificial Intelligence and Machine Learning at UG and PG level. He has a proven experience of providing expert advice on the use of technology in different domain.
Bibliographische Angaben
- 2024, 1. Auflage, 300 Seiten, Englisch
- Herausgegeben: Syed Nisar Hussain Bukhari
- Verlag: Taylor & Francis
- ISBN-10: 1040037232
- ISBN-13: 9781040037232
- Erscheinungsdatum: 13.06.2024
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Größe: 15 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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