Smart Agriculture Automation Using Advanced Technologies: Data Analytics and Machine Learning, Cloud Architecture, Automation and IoT

This book addresses the challenges for developing and emerging  trends in Internet-of-Things (IoT) for smart agriculture platforms. It  also describes data analytics & machine learning, cloud  architecture, automation & robotics and aims to overcome existing  barriers for smart agriculture with commercial viability. It discusses  IoT-based monitoring systems for analyzing the crop environment, and  methods for improving the efficiency of decision-making based on the  analysis of harvest statistics. The book explores a range of  applications including intelligent field monitoring, intelligent data  processing and sensor technologies, predictive analysis systems, crop  monitoring, and weather data-enabled analysis in IoT agro-systems. This  volume will be helpful for engineering and technology experts and  researchers, as well as for policy-makers.