04050nam a22006495i 4500 978-981-97-4141-0 DE-He213 20251030112708.0 cr nn 008mamaa 240802s2024 si | s |||| 0|eng d 9789819741410 978-981-97-4141-0 10.1007/978-981-97-4141-0 doi TJ212-225 TJ210.2-211.495 TJFM bicssc TEC007000 bisacsh TJFM thema Transforming Technologies in Smart Agriculture [electronic resource] : New Applications During the Past Decade / edited by Zhao Zhang, Yongxin Jiang, Chunhui Wen, Shuyuan Men, Yuan Zhang. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. IX, 193 p. 78 illus., 70 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Smart Agriculture, 2731-3484 ; 8 Chapter 1 A Review of Field Plant Phenotyping Platform, Sensing and Navigation Technology -- Chapter 2 Precision Handling of Green Apples in Orchard Environments Using Computer Vision -- Chapter 3 Corn Diseased Leaf Segmentation under Different Illumination Conditions -- Chapter 4 Research on Field Cotton Yield Prediction System Based on Improved YOLOv5 Cotton Detection Model and Android Development -- Chapter 5 Automatic segmentation algorithm for wheat field images based on UAV -- Chapter 6 Aphid Detection Techniques: A State-of-Art Review -- Chapter 7 A Comprehensive Analysis of Different Object Detection Frameworks and Path Optimization Algorithms for an RGB-D Camera-based Rock Detection System. This book collects transforming technologies in smart agriculture and their applications during the past decade. It focuses on the latest sensing and automation technologies for field and specialty crop production, and provides a lot of innovative knowledge on imaging processing, AI algorithms, robotics, and their applications in agriculture. It provides undergraduate or graduate students take-away knowledge for unmanned agriculture production, including but not limited to, corn/wheat disease detection, cotton yield prediction, and apple detection. Furthermore, this book includes review reports on plant phenotyping sensing and automation technologies and techniques for aphid detection. Control engineering. Robotics. 59148 Automation. 59149 Agriculture. 68079 Image processing. Machine learning. 55059 Control, Robotics, Automation. Agriculture. 68079 Image Processing. Machine Learning. 55059 Zhang, Zhao. editor. (orcid)0000-0001-6353-4067 https://orcid.org/0000-0001-6353-4067 edt http://id.loc.gov/vocabulary/relators/edt 81851 Jiang, Yongxin. editor. edt http://id.loc.gov/vocabulary/relators/edt 81852 Wen, Chunhui. editor. edt http://id.loc.gov/vocabulary/relators/edt 81853 Men, Shuyuan. editor. edt http://id.loc.gov/vocabulary/relators/edt 81854 Zhang, Yuan. editor. edt http://id.loc.gov/vocabulary/relators/edt 81855 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819741403 Printed edition: 9789819741427 Printed edition: 9789819741434 Smart Agriculture, 2731-3484 ; 8 81856 https://doi.org/10.1007/978-981-97-4141-0 ZDB-2-INR ZDB-2-SXIT 62204 62204