Sensing Technologies for Field and In-House Crop Production
Springer Verlag, Singapore
978-981-99-7926-4 (ISBN)
Dr. Man Zhang is the dean of College of Information and Electric Engineering, China Agricultural University. Her main research areas are plant phenotyping and agricultural machinery navigation. Dr. Han Li is an associate professor at the College of Information and Electric Engineering, China Agricultural University. Her studies mainly focus on plant phenotyping and robotics. Dr. Wenyi Sheng is an assistant professor at the College of Information and Electric Engineering, China Agricultural University. Her studies mainly focus on the monitoring of soil conditions. Dr. Ruicheng Qiu is an associate professor at the College of Information and Electric Engineering, China Agricultural University. He mainly works on crop phenotyping. Dr. Zhao Zhang received his B.E. and M.E. degrees in Industrial Engineering and Agricultural Mechanization from Northwest A&F University in 2009 and 2012, respectively, and the Ph.D. degree in Agricultural Engineering from The Pennsylvania State University, USA, in 2015. Since November 2021, Dr. Zhang has been in College of Information and Electrical Engineering, China Agricultural University, as a professor.
A Review of Three-Dimensional Multispectral Imaging in Plant Phenotyping.- Recent Advances in Soil Nutrient Monitoring: A Review.- Plant phenotyping robot platform.- Autonomous crop image acquisition system based on ROS system.- SeedingsNet: Field wheat seedling density detection based on deep learning.- Wheat lodging detection using smart vision-based method.- Design, construction, and experiment-based key parameter de-2 termination of auto maize seed placement system.- Development and test of an auto seedling detection System.
Erscheinungsdatum | 29.11.2023 |
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Reihe/Serie | Smart Agriculture |
Zusatzinfo | 66 Illustrations, color; 13 Illustrations, black and white; VII, 136 p. 79 illus., 66 illus. in color. |
Verlagsort | Singapore |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Technik ► Elektrotechnik / Energietechnik | |
Technik ► Maschinenbau | |
Schlagworte | Agricultural Robotics • AI agriculture • Field crops • Image Processing • In-house crops • Phenotyping technology • Unmanned agriculture |
ISBN-10 | 981-99-7926-9 / 9819979269 |
ISBN-13 | 978-981-99-7926-4 / 9789819979264 |
Zustand | Neuware |
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