Computational Intelligence in Internet of Agricultural Things

M. G. Sumithra

ISBN 10: 3031674499 / ISBN 13: 9783031674495

Editore: Springer Nature Switzerland, Springer International Publishing, 2024

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Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader's comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.

Codice articolo 9783031674495

Dati bibliografici

• Titolo: Computational Intelligence in Internet of Agricultural Things
• Editore: Springer Nature Switzerland, Springer International Publishing
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 3031674499
• ISBN 13: 9783031674495
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 241 L x 160 A x 30 P (millimetri) 241 millimetri di larghezza per 160 millimetri di altezza per 30 millimetri di profondità
• Peso: 955 grammi

Descrizione articolo

Riassunto

This book focuses on the integration of IoT and AI techniques to generate greater data-driven solutions for the agriculture industry. It also focuses on computational intelligence (CI), machine learning, and AI techniques along with current applications, obstacles, and potential challenges and solutions for agricultural industries. These technologies have the potential to curtail resource wastage and contribute to addressing the challenges of feeding the expanding global population. This book acts as a resource to augment the reader's comprehension of the role of emerging IT technologies in the agricultural sector. This book also covers key technologies and techniques such as AI, ML, and IoT in the development of smart agriculture and provides information on various types of smart farming technology, platforms, and machine learning algorithms with case studies based on real-time problems.