The Computerized Greenhouse
Automatic Control Application in Plant Production
Published on 29. October 1997
Book
Hardback
320 pages
978-0-12-330590-9 (ISBN)
Description
The aim of this book is to open up research areas in automatic control engineering for crop production systems in horticulture and agriculture, and to explain the ideas of automatic control in plant production. It includes detailed discussions of: modelling; artificial intelligence for agricultural applications; optimal control and its applications; control for agricultural systems; and fundamental systems engineering concepts.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
Illustrations
index
Dimensions
Height: 235 mm
Width: 157 mm
Weight
654 gr
ISBN-13
978-0-12-330590-9 (9780123305909)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
E-Book
12/2012
Academic Press
€54.95
Available for download
Persons
Content
System modelling, identification, and control - identification, estimation and control of glasshouse systems, P.C. Young, et al; physical modelling of greenhouse climate, G.P.A. Bot; measurement and parameter identification problems for control of biotechnical processes, A. Munack; environmental control in plant tissue culture and its application for micropropagation, T. Kozai and B.R. Jeong; optimal control - optimal diurnal control in greenhouses as related to greenhouse management and crop requirements, H. Challa and G. van Straten; optimal control for plant production in greenhouses, H.-J. Tantau; optimal greenhouse temperature trajectories for a multi-state-variable tomato model, I. Seginer and A. Sher; computer applications and artificial intelligence - computer integrated system for the cultivating process in agriculture and horticulture - approach to "intelligent plant factory", Y. Hashimoto; using empirical knowledge for the determination of climatic setpoints - an ariticial intelligence approach, R. Martin-Clouaire, et al; relating plant sciences - environmental signals, receptors, A.W. Naylor.