Computational Intelligence in Internet of Agricult
Sold by Basi6 International, Irving, TX, U.S.A.
AbeBooks Seller since 24 June 2016
New - Hardcover
Condition: New
Ships within U.S.A.
Quantity: 10 available
Add to basketSold by Basi6 International, Irving, TX, U.S.A.
AbeBooks Seller since 24 June 2016
Condition: New
Quantity: 10 available
Add to basketNew. US edition. Print on demand title. Delivery takes 20-25 days. Excellent Customer Service.
Seller Inventory # POD-378333
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.
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.
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