Produktbild: Sensing, Data Managing, and Control Technologies for Agricultural Systems
- 19%

Sensing, Data Managing, and Control Technologies for Agricultural Systems

19% sparen

171,99 € UVP 213,99 €

inkl. gesetzl. MwSt., Versandkostenfrei


Beschreibung

Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.06.2022

Abbildungen

VIII, 332 p. 135 illus., 102 illus. in color.

Herausgeber

Shaochun Ma + weitere

Verlag

Springer

Seitenzahl

332

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

676 g

Auflage

22001 Auflage 1st edition 2022

Sprache

Englisch

ISBN

978-3-031-03833-4

Beschreibung

Portrait


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.






Produktdetails

Einband

Gebundene Ausgabe

Erscheinungsdatum

08.06.2022

Abbildungen

VIII, 332 p. 135 illus., 102 illus. in color.

Herausgeber

Verlag

Springer

Seitenzahl

332

Maße (L/B/H)

24,1/16/2,4 cm

Gewicht

676 g

Auflage

22001 Auflage 1st edition 2022

Sprache

Englisch

ISBN

978-3-031-03833-4

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

Noch keine Bewertungen vorhanden

Verfassen Sie die erste Bewertung zu diesem Artikel

Helfen Sie anderen Kundinnen und Kunden durch Ihre Meinung.

Kundinnen und Kunden meinen

Bewertungen (0)

  • Produktbild: Sensing, Data Managing, and Control Technologies for Agricultural Systems
  • 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.