This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics.

This book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.

This book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics.

This book focuses on state-of-the-art sensing and automation technologies for field crops and in-house product production and provides a lot of innovative knowledge on image processing, AI algorithms and applications in agriculture, and robotics. This book provides undergraduate or graduate students with take-away knowledge for unmanned agricultural production, including but not limited to corn disease detection, wheat head detection and counting, and soil nutrient condition monitoring. The first three chapters focus on reviewing plant phenotyping sensing technology and robotics and soil nutrient monitoring, followed by in-house crop sensing robotics. Then two case studies on corn and the other two case studies on wheat are presented.