Intelligent Internet Of Everything For Automated And Sustainable Farming

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Intelligent Internet of Everything for Automated and Sustainable Farming

With the convergence of technology in agriculture, intelligent Internet of Everything (IoE) creates efficient sustainable farming practices. The integration of Internet of Things (loT), robotics, and data analytics optimize the technology used for efficient farming practices and improved environmental conditions. By leveraging the power of IoE, this approach enhances productivity and crop quality and addresses critical challenges such as climate change, labor shortages, and food security, laying the groundwork for a resilient and tech-driven agricultural future. Intelligent Internet of Everything for Automated and Sustainable Farming explores IoE in smart farming applications. It examines the advancements of drone technologies and AI in agriculture sustainability, using real world issues as examples on how to expertly use IoE in smart sustainable agriculture. This book covers topics such as agriculture technology, smart farming, and autonomous weeding, and is a useful resource business owners, engineers, agriculturalists, farmers, academicians, scientists, and researchers.
Artificial Intelligence and IoT-based Technologies for Sustainable Farming and Smart Agriculture

""This book explores the application and use of future internet ICTs in the smart agriculture sector by Identifying and describing technical, functional, and non-functional future technologies for smart farming and agriculture"--Provided by publisher"--
Agricultural Internet of Things and Decision Support for Precision Smart Farming

Author: Annamaria Castrignano
language: en
Publisher: Academic Press
Release Date: 2020-01-09
Agricultural Internet of Things and Decision Support for Smart Farming reveals how a set of key enabling technologies (KET) related to agronomic management, remote and proximal sensing, data mining, decision-making and automation can be efficiently integrated in one system. Chapters cover how KETs enable real-time monitoring of soil conditions, determine real-time, site-specific requirements of crop systems, help develop a decision support system (DSS) aimed at maximizing the efficient use of resources, and provide planning for agronomic inputs differentiated in time and space. This book is ideal for researchers, academics, post-graduate students and practitioners who want to embrace new agricultural technologies. - Presents the science behind smart technologies for agricultural management - Reveals the power of data science and how to extract meaningful insights from big data on what is most suitable based on individual time and space - Proves how advanced technologies used in agriculture practices can become site-specific, locally adaptive, operationally feasible and economically affordable