This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers with a wide range of subjects. In addition to researchers in the areas of plant science, plant pathology, breeding, engineering, it is also intended for undergraduates and graduates who are interested in imaging processing, artificial intelligence in agriculture, precision agriculture, agricultural automation, and robotics.

- Applies modeling in agricultural, food, and environmental practical and theoretical research tasks. - Shows the necessity of applying optimization methodologies. - Highlights for managers to be familiarized with modeling practices.

This book presents the progress, changes, and evolvement for apple mechanical harvest during the past decades, which include, but not limited to, bulky harvest method, harvest platform, apple infield sorting, and harvest robotics. Though there are significant progresses in apple harvest robotics, there still is a long way ahead before its practical applications, with existing and potential bottlenecks described in this book. Hence, other researchers would take advantage of this book to have a hint of the apple mechanical harvest history and state-of-the-art progress, so that they can find the room for their new research. This book targets senior undergraduates and more importantly graduate students in the field of agricultural engineering, sensing, automatic, and robotics.

This volume is the first (I) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to ‘digital transformation� within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress.  The focus in this volume is on different aspects of sensors implementation in agricultural production (e.g., types of sensors, parameters monitoring, network types, connectivity, accuracy, reliability, durability, and needs to be covered) and provides variety of information and knowledge in the subject of sensors design, development, and deployment for monitoring agricultural production parameters. The book consists of four (4) Sections.  The first section presents an overview on the state-off-the art in sensing technologies applied in agricultural production while the rest of the sections are dedicated to remote sensing, proximal sensing, and wireless sensor networks applications. Topics include:  Emerging sensing technologies  Soil reflectance spectroscopy  LoRa technologies applications in agriculture Wireless sensor networks deployment and applications  Combined remote and proximal sensing solutions  Crop phenology monitoring  Sensors for geophysical properties   Combined sensing technologies with geoinformation systems 

This book presents the progress, changes, and evolvement for apple mechanical harvest during the past decades, which include, but not limited to, bulky harvest method, harvest platform, apple infield sorting, and harvest robotics. Though there are significant progresses in apple harvest robotics, there still is a long way ahead before its practical applications, with existing and potential bottlenecks described in this book. Hence, other researchers would take advantage of this book to have a hint of the apple mechanical harvest history and state-of-the-art progress, so that they can find the room for their new research. This book targets senior undergraduates and more importantly graduate students in the field of agricultural engineering, sensing, automatic, and robotics.

This book, consisting of 8 chapters, describes the state-of-the-art technological progress and applications of unmanned aerial vehicles (UAVs) in precision agriculture. It focuses on the UAV application in agriculture, such as crop disease detection, mid-season yield estimation, crop nutrient status, and high-throughput phenotyping. Different from individual papers focusing on a specific application, this book provides a holistic view for readers with a wide range of subjects. In addition to researchers in the areas of plant science, plant pathology, breeding, engineering, it is also intended for undergraduates and graduates who are interested in imaging processing, artificial intelligence in agriculture, precision agriculture, agricultural automation, and robotics.

This volume is the first (I) of four under the main themes of Digitizing Agriculture and Information and Communication Technologies (ICT). The four volumes cover rapidly developing processes including Sensors (I), Data (II), Decision (III), and Actions (IV). Volumes are related to 'digital transformation" within agricultural production and provision systems, and in the context of Smart Farming Technology and Knowledge-based Agriculture. Content spans broadly from data mining and visualization to big data analytics and decision making, alongside with the sustainability aspects stemming from the digital transformation of farming. The four volumes comprise the outcome of the 12th EFITA Congress, also incorporating chapters that originated from select presentations of the Congress. The focus in this volume is on different aspects of sensors implementation in agricultural production (e.g., types of sensors, parameters monitoring, network types, connectivity, accuracy, reliability, durability, and needs to be covered) and provides variety of information and knowledge in the subject of sensors design, development, and deployment for monitoring agricultural production parameters. The book consists of four (4) Sections. The first section presents an overview on the state-off-the art in sensing technologies applied in agricultural production while the rest of the sections are dedicated to remote sensing, proximal sensing, and wireless sensor networks applications. Topics include: Emerging sensing technologies Soil reflectance spectroscopy LoRa technologies applications in agriculture Wireless sensor networks deployment and applications Combined remote and proximal sensing solutions Crop phenology monitoring Sensors for geophysical properties Combined sensing technologies with geoinformation systems