Smart Agriculture: Emerging Pedagogies of Deep Learning, Machine Learning and Internet of Things, 1st Edition, edited by Govind Singh Patel, Amrita Rai, Nripendra Narayan Das, and R. P. Singh explores how artificial intelligence, machine learning, deep learning, big data, and IoT technologies can transform modern agriculture. The book examines applications such as crop monitoring, plant disease detection, smart irrigation, predictive analytics, automated farming systems, decision-support tools, and intelligent techniques for improving agricultural productivity. It also discusses how connected sensors and data-driven systems can help address challenges involving resource management, sustainability, food production, and farm decision-making. Written for students, researchers, engineers, and professionals working in agriculture and emerging technologies, the book combines technical methods with practical agricultural applications and provides a useful foundation for understanding how machine learning and IoT can support smarter, more efficient farming systems.