Artificial Intelligence and Smart Agriculture Technology

This book discusses the latest technological aspects for developing smart agricultural applications, with a focus on artificial intelligence, data analytics, blockchain technology, the Internet of Things, advanced farming technologies, big data, data mining, machine learning, sustainability, plant disease prediction, deep learning, and cyber threats. It provides a valuable view for academicians, scientists, students, and industrial practitioners.

Format: Hardback
Length: 290 pages
Publication date: 27 June 2022
Publisher: Taylor & Francis Ltd

This comprehensive book is meticulously crafted to serve as a valuable resource for a global audience, shedding light on the most cutting-edge technological advancements in the realm of smart agricultural applications. With artificial intelligence (AI) assuming a central role, the majority of the chapters delve into the profound impact of AI and data analytics in enhancing agricultural practices.

In the opening chapters, the authors offer alternative, comprehensive overviews of the effective utilization of AI, robotics, and the Internet of Things as solutions to agricultural challenges. The third chapter delves into the realm of blockchain technology, exploring its potential applications in smart agricultural scenarios. The fourth chapter presents a visionary perspective of an Internet of Things-oriented sustainable agriculture.

The fifth chapter provides a governmental evaluation of advanced farming technologies, highlighting their potential for transforming the agricultural landscape. The sixth chapter explores the indispensable role of big data in smart agricultural applications, emphasizing its role in data-driven decision-making and optimization.

Under the seventh chapter, the blockchain is examined from an industrial standpoint, shedding light on its applications in the realm of smart agriculture. The eighth chapter focuses on data mining and data extraction, essential for further analysis and interpretation by advanced smart tools.

The ninth chapter evaluates the use of machine learning in food processing and preservation, addressing the critical issue of ensuring sufficient food sources. The tenth chapter delves into sustainability, emphasizing the importance of environmentally friendly practices in agriculture.

The eleventh chapter focuses on the challenging task of plant disease prediction, a critical agricultural concern. Similarly, the twelfth chapter explores the application of deep learning for accurate classification of plant diseases.

The book concludes with a thoughtful examination of cyber threats to farming automation in the thirteenth chapter, highlighting the need for robust security measures to protect agricultural systems. In the fourteenth chapter, a case study of India is presented, showcasing the country's efforts in promoting smart, sustainable, and inclusive agriculture.

This comprehensive book serves as a valuable guide for professionals, researchers, and policymakers seeking to harness the power of technology to revolutionize the agricultural sector. By exploring the latest advancements in AI, robotics, blockchain, big data, and other relevant fields, it provides a roadmap for building more efficient, sustainable, and resilient agricultural systems that can meet the growing global demand for food.

Weight: 748g
Dimension: 234 x 156 (mm)
ISBN-13: 9781032120799