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Full Description
This book focuses on state-of-the-art sensing and automation technologies for apple production, which provides innovative knowledge on imaging processing, AI algorithms, sensing techniques, non-destructive detection, and robotics. It falls into the area of applied science, more specifically engineering. This book, including a total of seven chapters, provides undergraduates or graduate take-away knowledge for autonomous apple production, which include but not limited to, apple harvest robotics, autonomous pollination, fruit quality detection, and postharvest infield sorting. A major innovative for this book is that it provides case studies for readers' easy understanding. The incentive behind this book is to provide readers the latest, systematic, comprehensive new technologies for apple production.
Contents
Lightweight and Robust YOLOv5s with MobileNetV3 and GhostNet for Precision Apple Flower Detection for Pollination Drones.- Apple Size Estimation Method with 3D Projection correction for In-field Grading System.- Research progress of assisted pollination technology.- Design, assembly and test of a low-cost vacuum based apple harvesting robot.- Research on the Fruit Movement Mechanism of Apple In-Field Sorting Equipment.- Research on the transferability of SSC detection models between different instruments for fresh apricots.- Research progress on key technology of apple harvesting robots in structured orchards.
