04105nam a22006375i 4500 978-981-97-7778-5 DE-He213 20251030113249.0 cr nn 008mamaa 241028s2024 si | s |||| 0|eng d 9789819777785 978-981-97-7778-5 10.1007/978-981-97-7778-5 doi TJ210.2-211.495 TJFM1 bicssc TEC037000 bisacsh TJFM1 thema New Technologies Applied in Apple Production [electronic resource] : Sensing and Autonomous Systems / edited by Yande Liu, Liling Yang, Yinyan Shi, Guantian Wang, Dazhou Zhu, Zhao Zhang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. IX, 166 p. 94 illus., 85 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Smart Agriculture, 2731-3484 ; 10 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. 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. Robotics. 59148 Agriculture. 68079 Mechatronics. 68795 Automation. 59149 Robotic Engineering. 66064 Agriculture. 68079 Mechatronics. 68795 Automation. 59149 Robotics. 59148 Liu, Yande. editor. edt http://id.loc.gov/vocabulary/relators/edt 86761 Yang, Liling. editor. edt http://id.loc.gov/vocabulary/relators/edt 86762 Shi, Yinyan. editor. edt http://id.loc.gov/vocabulary/relators/edt 86763 Wang, Guantian. editor. edt http://id.loc.gov/vocabulary/relators/edt 86764 Zhu, Dazhou. editor. edt http://id.loc.gov/vocabulary/relators/edt 86765 Zhang, Zhao. editor. (orcid)0000-0001-6353-4067 https://orcid.org/0000-0001-6353-4067 edt http://id.loc.gov/vocabulary/relators/edt 81851 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819777778 Printed edition: 9789819777792 Printed edition: 9789819777808 Smart Agriculture, 2731-3484 ; 10 81856 https://doi.org/10.1007/978-981-97-7778-5 ZDB-2-INR ZDB-2-SXIT 64568 64568