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

Smart Agriculture has the potential to revolutionize the agriculture sector by leveraging data-driven approaches and advanced technologies such as Artificial Intelligence, deep learning, and the Internet of Things. However, the sector faces challenges related to location, supply chain management, food availability, biodiversity, farmers' decision-making, insurance, and environmental concerns. This book aims to explore the possibilities of engaging agriculture with equipped and effective profound learning algorithms and highlights the need for systems, tools, and techniques to handle the volume and variety of data to be gathered. Agricultural research centres are already adopting Internet of Things for monitoring farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data, and IoT structures.

Format: Paperback / softback
Length: 244 pages
Publication date: 25 September 2023
Publisher: Taylor & Francis Ltd

Smart Agriculture has the potential to revolutionize the agriculture sector by leveraging data, artificial intelligence, deep learning, and the Internet of Things (IoT). By analyzing data over time, the sector can make incremental progress and address various challenges, such as supply chain management, food availability, biodiversity, farmers' decision-making, insurance, and environmental concerns. However, the implementation of a data-driven approach requires systems, tools, and techniques that can handle the volume and variety of data gathered. This book aims to explore the possibilities of engaging agriculture with equipped and effective profound learning algorithms. Many agricultural research centers are already adopting IoT for monitoring farm services, and there are significant opportunities for agriculture administration through the effective implementation of Machine Learning, Deep Learning, Big Data, and IoT structures.

Weight: 410g
Dimension: 173 x 247 x 17 (mm)
ISBN-13: 9780367687687