Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things

This book explores the potential of Smart Agriculture to revolutionize the agriculture sector by leveraging Artificial Intelligence,deep learning,and IoT technologies to improve supply chain management,food availability,biodiversity,farmers' decision-making,and environmental concerns. Contributions have been solicited to uncover the possibilities of engaging agriculture with equipped and effective profound learning algorithms.

Format: Hardback
Length: 244 pages
Publication date: 15 January 2021
Publisher: Taylor & Francis Ltd

The potential of Smart Agriculture for driving innovation and growth in the agriculture sector is explored in this comprehensive book. As the sector embraces Artificial Intelligence, deep learning, and Internet of Things applications, it is poised to make significant strides forward. The challenges posed by a farm's location, including supply chain management, food availability, biodiversity, farmers' decision-making, insurance, and environmental concerns, are closely intertwined. By implementing a data-driven approach, these aspects can reap substantial benefits, particularly when the systems, tools, and techniques in use are designed to handle the vast volume and diverse nature of the data to be collected.

Contributions to this book have been sought with the aim of uncovering the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Many agricultural research centers have already adopted Internet of Things (IoT) for monitoring a wide range of farm services, presenting significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data, and IoT structures.

The book delves into the various aspects of Smart Agriculture, including precision farming, crop monitoring, livestock management, irrigation systems, and waste management. It discusses the role of data analytics, machine learning, and artificial intelligence in optimizing agricultural operations, improving crop yields, reducing waste, and enhancing sustainability. It also explores the potential of blockchain technology in traceability and supply chain management, as well as the role of drones and other unmanned aerial vehicles in crop surveillance and precision spraying.

Furthermore, the book addresses the challenges and opportunities associated with the adoption of Smart Agriculture, including the need for infrastructure development, the integration of different technologies, and the training and education of farmers and agricultural professionals. It highlights the importance of collaboration and partnerships between academia, industry, and government to promote the widespread adoption of Smart Agriculture and achieve sustainable food production for a growing global population.

In conclusion, this book serves as a valuable resource for policymakers, farmers, researchers, and anyone interested in exploring the untapped potential of Smart Agriculture for driving innovation and growth in the agriculture sector. By leveraging the power of data, technology, and collaboration, we can create a more efficient, sustainable, and resilient agriculture system that meets the needs of present and future generations.

Weight: 558g
Dimension: 179 x 252 x 20 (mm)
ISBN-13: 9780367535803