Francisco Rovira-Mas – författare

Smart Agriculture: Concepts, Strategies, and Case Studies showcases improvements in agricultural technology, bringing together work from leading experts in the field. It explores techniques and disciplines essential for the widespread adoption of precision agriculture, including artificial intelligence (AI), machine learning, the Internet of Things (IoT), Agriculture 5.0, smart spraying systems, and decision support tools that are transforming modern farming practices.Designed to introduce readers to the vast potential of data-driven agriculture, this book presents information on smart agriculture through practical, real-world applications. It features a diverse range of case studies across various crops and agricultural operations, offering actionable insights into innovative solutions. Highlights include variable-rate orchard spraying for high-density canopies like olives and oranges, image analysis for evaluating apple and grape properties, digital tools for optimizing irrigation, geostatistical modelling of Xylella fastidiosa, UAV-assisted fertilization of olive trees, automated wheat growth monitoring, smart agriculture techniques for peach production, greenhouse data management, digital twins for strawberry cultivation, deep learning for obstacle detection in robotic rice harvesters, and IoT middleware solutions for arable crops and livestock.A book in the NextGen Agriculture: Novel Concepts & Innovative Strategies series, this comprehensive resource is ideal for professional engineers, researchers in agricultural engineering, computer science, machine vision, and remote sensing, as well as technology developers. Graduate students specializing in digital agriculture and precision farming will also find this book invaluable for understanding the transformative power of modern agricultural technologies.

Smart Agriculture: Concepts, Strategies, and Case Studies showcases improvements in agricultural technology, bringing together work from leading experts in the field. It explores techniques and disciplines essential for the widespread adoption of precision agriculture, including artificial intelligence (AI), machine learning, the Internet of Things (IoT), Agriculture 5.0, smart spraying systems, and decision support tools that are transforming modern farming practices.Designed to introduce readers to the vast potential of data-driven agriculture, this book presents information on smart agriculture through practical, real-world applications. It features a diverse range of case studies across various crops and agricultural operations, offering actionable insights into innovative solutions. Highlights include variable-rate orchard spraying for high-density canopies like olives and oranges, image analysis for evaluating apple and grape properties, digital tools for optimizing irrigation, geostatistical modelling of Xylella fastidiosa, UAV-assisted fertilization of olive trees, automated wheat growth monitoring, smart agriculture techniques for peach production, greenhouse data management, digital twins for strawberry cultivation, deep learning for obstacle detection in robotic rice harvesters, and IoT middleware solutions for arable crops and livestock.A book in the NextGen Agriculture: Novel Concepts & Innovative Strategies series, this comprehensive resource is ideal for professional engineers, researchers in agricultural engineering, computer science, machine vision, and remote sensing, as well as technology developers. Graduate students specializing in digital agriculture and precision farming will also find this book invaluable for understanding the transformative power of modern agricultural technologies.

Smart Agriculture: Concepts, Strategies, and Case Studies showcases improvements in agricultural technology, bringing together work from leading experts in the field. It explores techniques and disciplines essential for the widespread adoption of precision agriculture, including artificial intelligence (AI), machine learning, the Internet of Things (IoT), Agriculture 5.0, smart spraying systems, and decision support tools that are transforming modern farming practices.Designed to introduce readers to the vast potential of data-driven agriculture, this book presents information on smart agriculture through practical, real-world applications. It features a diverse range of case studies across various crops and agricultural operations, offering actionable insights into innovative solutions. Highlights include variable-rate orchard spraying for high-density canopies like olives and oranges, image analysis for evaluating apple and grape properties, digital tools for optimizing irrigation, geostatistical modelling of Xylella fastidiosa, UAV-assisted fertilization of olive trees, automated wheat growth monitoring, smart agriculture techniques for peach production, greenhouse data management, digital twins for strawberry cultivation, deep learning for obstacle detection in robotic rice harvesters, and IoT middleware solutions for arable crops and livestock.A book in the NextGen Agriculture: Novel Concepts & Innovative Strategies series, this comprehensive resource is ideal for professional engineers, researchers in agricultural engineering, computer science, machine vision, and remote sensing, as well as technology developers. Graduate students specializing in digital agriculture and precision farming will also find this book invaluable for understanding the transformative power of modern agricultural technologies.

Rapid developments in electronics over the past two decades have induced a move from purely mechanical vehicles to mechatronics design. Recent advances in computing, sensors, and information technology are pushing mobile equipment design to incorporate higher levels of automation under the novel concept of intelligent vehicles. Mechatronics and Intelligent Systems for Off-road Vehicles introduces this concept, and provides an overview of recent applications and future approaches within this field. Several case studies present real examples of vehicles designed to navigate in off-road environments typically encountered by agriculture, forestry, and construction machines. The examples analyzed describe and illustrate key features for agricultural robotics, such as automatic steering, safeguarding, mapping, and precision agriculture applications.The eight chapters include numerous figures, each designed to improve the reader’s comprehension of subjects such as:• automatic steering systems;• navigation systems;• vehicle architecture;• image processing and vision; and• three-dimensional perception and localization.Mechatronics and Intelligent Systems for Off-road Vehicles will be of great interest to professional engineers and researchers in vehicle automation, robotics, and the application of artificial intelligence to mobile equipment; as well as to graduate students of mechanical, electrical, and agricultural engineering.

Rapid developments in electronics over the past two decades have induced a move from purely mechanical vehicles to mechatronics design. Recent advances in computing, sensors, and information technology are pushing mobile equipment design to incorporate higher levels of automation under the novel concept of intelligent vehicles. Mechatronics and Intelligent Systems for Off-road Vehicles introduces this concept, and provides an overview of recent applications and future approaches within this field. Several case studies present real examples of vehicles designed to navigate in off-road environments typically encountered by agriculture, forestry, and construction machines. The examples analyzed describe and illustrate key features for agricultural robotics, such as automatic steering, safeguarding, mapping, and precision agriculture applications.The eight chapters include numerous figures, each designed to improve the reader’s comprehension of subjects such as:• automatic steering systems;• navigation systems;• vehicle architecture;• image processing and vision; and• three-dimensional perception and localization.Mechatronics and Intelligent Systems for Off-road Vehicles will be of great interest to professional engineers and researchers in vehicle automation, robotics, and the application of artificial intelligence to mobile equipment; as well as to graduate students of mechanical, electrical, and agricultural engineering.