Yun, Yuliang. editor. edt http://id.loc.gov/vocabulary/relators/edt Sheng, Wenyi. editor. edt http://id.loc.gov/vocabulary/relators/edt Zhang, Zhao. editor. edt http://id.loc.gov/vocabulary/relators/edt SpringerLink (Online service) text si 2024 1st ed. 2024. monographic eng

electronic

electronic resource

access VII, 175 p. 77 illus., 60 illus. in color. online resource. 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. Research Progress on Seed Appearance Recognition for Major Crops -- A review of corn growth status sensing methods -- Greenhouse Phenotyping Measurement Techniques and Systems: A Review -- On-site Intelligent Grading System for Fruits and Vegetables: Case Studies on Tomato and Apple -- Recent advances in intelligent harvesting robots -- Infield honeysuckle detection based on improved YOLOv5s under natural lighting -- Multiscale wheat lodging parameter detection based on MobilenetV3. edited by Yuliang Yun, Wenyi Sheng, Zhao Zhang. Robotics Agriculture Materials Detectors Image processing Robotic Engineering Agriculture Sensors and biosensors Image Processing TJ210.2-211.495 9789819764419 https://doi.org/10.1007/978-981-97-6441-9 https://doi.org/10.1007/978-981-97-6441-9 240827 20251030112915.0 978-981-97-6441-9