This specially curated collection features five reviews of current and key research on improving water management in crop cultivation.The first chapter focuses on site-specific variable rate irrigation systems utilised across agriculture and examines site-specific data acquisition and mining approaches, such as soil mapping and zone delineation.The second chapter considers the main deficit irrigation strategies used in agriculture to improve crop water productivity. It also explores the status of site-specific irrigation management and its role in minimizing agricultural water use.The third chapter reviews progress in winter wheat water management and water-use efficiency (WUE), drawing on long-term field experiments in the U.S. southern Great Plains. It discusses the key relationships between yield, evapotranspiration, WUE and best management practices.The fourth chapter considers the key techniques for improving rice water productivity through enhanced irrigation practices aiming to reduce irrigation water use in rice cultivation, such as the Alternate Wetting and Drying technique.The final chapter examines the main irrigation methods used in dryland sorghum production. It also reviews the relationship between soil properties and irrigation management.

This volume focusses on the problem of planning in the context of robotics. Unlike most books on robotics planning which are either too abstract or too specific, this one extends the techniques developed for generic planning problems with robotics-specific considerations so that the task of planning can be discussed in a more uniform way. It also includes the latest results in reconfigurable (mobile) robot planning, multiple robot planning, plan recovery, and planning in uncertain environments. This volume is probably the very first book in the market that provides a theoretical foundation for planning techniques and their applications. It also bridges the gap that has been existing for a long time between computer scientists and application engineers. It will be of interest to senior and graduate students in engineering and computer science, AI researchers and professionals.

This specially curated collection features five reviews of current and key research on improving water management in crop cultivation.The first chapter focuses on site-specific variable rate irrigation systems utilised across agriculture and examines site-specific data acquisition and mining approaches, such as soil mapping and zone delineation.The second chapter considers the main deficit irrigation strategies used in agriculture to improve crop water productivity. It also explores the status of site-specific irrigation management and its role in minimizing agricultural water use.The third chapter reviews progress in winter wheat water management and water-use efficiency (WUE), drawing on long-term field experiments in the U.S. southern Great Plains. It discusses the key relationships between yield, evapotranspiration, WUE and best management practices.The fourth chapter considers the key techniques for improving rice water productivity through enhanced irrigation practices aiming to reduce irrigation water use in rice cultivation, such as the Alternate Wetting and Drying technique.The final chapter examines the main irrigation methods used in dryland sorghum production. It also reviews the relationship between soil properties and irrigation management.

This volume focusses on the problem of planning in the context of robotics. Unlike most books on robotics planning which are either too abstract or too specific, this one extends the techniques developed for generic planning problems with robotics-specific considerations so that the task of planning can be discussed in a more uniform way. It also includes the latest results in reconfigurable (mobile) robot planning, multiple robot planning, plan recovery, and planning in uncertain environments. This volume is probably the very first book in the market that provides a theoretical foundation for planning techniques and their applications. It also bridges the gap that has been existing for a long time between computer scientists and application engineers. It will be of interest to senior and graduate students in engineering and computer science, AI researchers and professionals.