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Next-Gen Smart Farming presents a thorough, evidence-based assessment of using emerging physical and computerized systems designed to enhance agricultural efficiency. It balances demonstrated benefits with a clear articulation of potential risks.The work surveys the entire pipeline, from sensing technologies and data collection to artificial intelligence and machine learning, spatial analysis, decision modeling, and automation. It highlights how these technologies can strengthen crop monitoring, yield forecasting, and farm management, while it also examines governance, equity, and ethical considerations essential for responsible deployment. Economic, environmental, and social impacts are analyzed, providing a comprehensive framework for evaluating trade-offs and outcomes in real-world contexts.Framed as an interdisciplinary resource, the volume equips researchers, industry practitioners, extension specialists, and policymakers with practical methodologies, metrics, and narratives needed to implement scalable digital agriculture solutions that improve productivity, resilience, and sustainability across diverse real-world settings.Applies smart technologies across the entire crop-production continuum.Emphasizes methodological rigor, validation strategies, and transparent reporting to support replication and informed decision-making in both research and practice.Includes a focal case study on leaf nutrient sensing, demonstrating how data-driven insights optimize precision fertilization and resource efficiency.

Next-Gen Smart Farming presents a thorough, evidence-based assessment of using emerging physical and computerized systems designed to enhance agricultural efficiency. It balances demonstrated benefits with a clear articulation of potential risks.The work surveys the entire pipeline, from sensing technologies and data collection to artificial intelligence and machine learning, spatial analysis, decision modeling, and automation. It highlights how these technologies can strengthen crop monitoring, yield forecasting, and farm management, while it also examines governance, equity, and ethical considerations essential for responsible deployment. Economic, environmental, and social impacts are analyzed, providing a comprehensive framework for evaluating trade-offs and outcomes in real-world contexts.Framed as an interdisciplinary resource, the volume equips researchers, industry practitioners, extension specialists, and policymakers with practical methodologies, metrics, and narratives needed to implement scalable digital agriculture solutions that improve productivity, resilience, and sustainability across diverse real-world settings. - Applies smart technologies across the entire crop-production continuum. - Emphasizes methodological rigor, validation strategies, and transparent reporting to support replication and informed decision-making in both research and practice. - Includes a focal case study on leaf nutrient sensing, demonstrating how data-driven insights optimize precision fertilization and resource efficiency.

This volume is the third (III) 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 of this book (III) is on the transformation of collected information into valuable decisions and aims to shed light on how best to use digital technologies to reduce cost, inputs,and time, toward becoming more efficient and transparent. Fourteen chapters are grouped into 3 Sections. The first section of is dedicated to decisions in the value chain of agricultural products. The next section, titled Primary Production, elaborates on decision making for the improvement of processes taking place with the farm under the implementation of ICT. The last section is devoted to the development of innovative decision applications that also consider the protection of the environment, recognizing its importance in the preservation and considerate use of resources, as well as the mitigation of adverse impacts that are related to agricultural production.Planning and modeling the assessment of agricultural practices can provide farmers with valuable information prior to the execution of any task.  This book provides a valuable reference for them as well as for those directly involved with decision making in planning and assessment of agricultural production.Specific advances covered in the volume: Modelling and Simulation of ICT-based agricultural systemsFarm Management Information Systems (FMIS) Planning for unmanned aerial systems Agri-robotics awareness and planning Smart livestock farming Sustainable strategic planning in agri-production  Food business information systems

This volume is the third (III) 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 of this book (III) is on the transformation of collected information into valuable decisions and aims to shed light on how best to use digital technologies to reduce cost, inputs,and time, toward becoming more efficient and transparent. Fourteen chapters are grouped into 3 Sections. The first section of is dedicated to decisions in the value chain of agricultural products. The next section, titled Primary Production, elaborates on decision making for the improvement of processes taking place with the farm under the implementation of ICT. The last section is devoted to the development of innovative decision applications that also consider the protection of the environment, recognizing its importance in the preservation and considerate use of resources, as well as the mitigation of adverse impacts that are related to agricultural production.

Planning and modeling the assessment of agricultural practices can provide farmers with valuable information prior to the execution of any task.  This book provides a valuable reference for them as well as for those directly involved with decision making in planning and assessment of agricultural production.

Specific advances covered in the volume: 

Modelling and Simulation of ICT-based agricultural systemsFarm Management Information Systems (FMIS) Planning for unmanned aerial systems Agri-robotics awareness and planning Smart livestock farming Sustainable strategic planning in agri-production  Food business information systems