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Sensing, Data Managing, and Control Technologies for Agricultural Systems

BuchKartoniert, Paperback
332 Seiten
Englisch
Springererschienen am09.06.20231st ed. 2022
Agricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced control systems.mehr
Verfügbare Formate
BuchGebunden
EUR192,59
BuchKartoniert, Paperback
EUR192,59

Produkt

KlappentextAgricultural automation is the emerging technologies which heavily rely on computer-integrated management and advanced control systems.
Details
ISBN/GTIN978-3-031-03836-5
ProduktartBuch
EinbandartKartoniert, Paperback
Verlag
Erscheinungsjahr2023
Erscheinungsdatum09.06.2023
Auflage1st ed. 2022
ReiheAgriculture Automation and Control
Seiten332 Seiten
SpracheEnglisch
IllustrationenVIII, 332 p. 135 illus., 102 illus. in color.
Artikel-Nr.53724398

Inhalt/Kritik

Inhaltsverzeichnis
Introduction : Overview of Sensing, data management, and control technologies for agricultural systems.- Agricultural Internet of Things .- Applied machine vision technologies in specialty crop production.- Imaging Technology for High-Throughput Plant Phenotyping .- Data-driven Modeling for Crop Growth in Plant factories  .- Data-driven modeling for crop mapping and yield estimation .- Artificial Intelligence for Image Processing in Agriculture .- Smart Farming Management  .- Emerging automated technologies on tractors .- Applied time-frequency control in agricultural machines - Applied Unmanned Aerial Vehicle technologies: opportunities and constraints   .- Robotic Tree Fruit Harvesting: Status, Challenges, and Prosperities.mehr

Schlagworte

Autor


Dr. Shaochun Ma is a Famous Ideological and Political Teacher of China´s Ministry of Education. He obtained his Ph.D. degree in Agricultural and Biological Engineering from the University of Illinois at Urbana-Champaign. He joined the faculty of the College of Engineering by Talents Program of China Agricultural University.  His teaching and research focuses on Hydraulic and Pneumatic Transmission, Engineering Fluid Dynamics, machine intelligence for production agriculture, and agricultural systems modelling, simulation, and control.

Dr. Tao Lin is a a ZJU-100 Professor in the College of Biosystems Engineering and Food Science at Zhejiang University. He obtained his Ph.D. and M.S. degrees in Agricultural and Biological Engineering from the University of Illinois at Urbana-Champaign. His research focuses on agricultural big data systems informatics and analytics, ranging from spatiotemporal analysis, remote sending, GIS, optimization modeling analysis, todecision support systems. He has published more than 30 peer-reviewed journal articles.


Prof. Enrong Mao teaches and conducts research on digital design and experimental method for tractor and harvester, automation, hydraulic control, human-factors engineering, and computerized simulation. He served as an Associate Dean of College of Engineering at China Agricultural University, P.R.China during 2002-2019.


Prof. Zhenghe Song teaches and conducts research on design and experimental method for tractor and harvester, automation, hydraulic control, and computerized simulation. He is currently the Dean of College of Engineering at China Agricultural University, P. R. China.


Prof K. C. Ting is Professor and Head Emeritus, Department of Agricultural and Biological Engineering, University of Illinois at Urbana-Champaign, USA.  His teaching and research emphasize systematic human supervised cyber-physical integration of engineering and agriculture for advancement of complex agricultural production and processing systems. He served as a Vice Dean of International Campus, Zhejiang University, China during 2017-2020.




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Herausgegeben:Ma, Shaochun