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Artificial Intelligence in Agriculture 2001
 
 

Artificial Intelligence in Agriculture 2001, 1st Edition

 
Artificial Intelligence in Agriculture 2001, 1st Edition,I. Farkas,ISBN9780080435633
 
 
 

I Farkas   

Pergamon

9780080435633

132

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USD 83.95
 
 

Description

This Proceedings contains the papers presented at the AIA'2001 Workshop on "Artificial Intelligence in Agriculture", held at the Hotel Eben in Budapest and the Campus of the Szent István University Gödöllo, Hungary, on 6-8 June 2001.


The papers demonstrate the aim of the workshop, which was to bring together leading researchers and practitioners from academy and industry in order to favour the emergence or consolidation of bridges between AI and its applications in Agriculture and domains connected to it (in particular, environmental sciences).


This Proceedings concentrate on five main topic areas: Fundamentals, Decision tools; Neural networks; Quality and measurements; Fuzzy modelling and control and Modelling and control.

Readership

For engineers working in all application areas of control engineering, especially AI and its application to agricultural control.

I. Farkas

Affiliations and Expertise

Department of Physics and Process Control, Szent Istvan University, Gödöllo Pater K. u.1., H-2123 Hungary

Artificial Intelligence in Agriculture 2001, 1st Edition

Chapter headings. Fundamentals, Decision Tools. Pseudo-derivative feedback based identification of unstable processes with application to a bioreactor (K.G. Arvanitis et al.). Developing strategic expert system using multiple design approach (S.A. Edrees et al.). The function of the Geographic Information System (GIS) in precision farming
(Zs. Pecze et al.). Discrete event simulation as a performance analysis tool in agricultural logistics system
(D. Nilsson). The evaluation and impact of NEPER wheat expert system (A. Rafea, M. Mahmoud). Neural Networks. A method for deciding the number of hidden neurons of the feedforward neural networks (H. Yuan et al.). Neural network based fault detection in Hydroponics (K.P. Ferentinos et al.). Neural networks for influence analysis on the quality of potatoes (S. Richter et al.). Neural network modelling for predicting rainfall level (K.R. Ku-Mahamud et al.). Neural network modelling of solar collectors (I. Farkas et al.). Color and shape analysis by neural network (A. Szepes). Quality And Measurements. Fluorescence based quality sorting of apples using self-organizing maps (D. Moshou et al.). Development of an automatic rice-quality inspection system (S. Kawamura et al.). Computer aided moisture measurements during fruit drying processes (I. Seres et al.). Fuzzy Modelling And Control. Improved climate control for potato stores by using fuzzy controllers (K. Gottschalk et al.). An algorithm of characteristic expansion for fuzzy reasoning based on Triple I method
(F. Xiong et al.). Applying the fuzzy multi-attribute decision model in plant breeding programs (M. Calin, C. Leonte). Modelling And Control. Greenhouse climate control for integrated pest management (H.-J. Tantau, D. Lange). A non-linear feedback technique for greenhouse environmental control (G.D. Pasgianos et al.). Modelling of the temperature under greenhouse by multi-model approach (E. Feki et al.). Optimal control of nitrate in lettuce by gradient and differential evolution algorithms (I.L. Lopez Cruz et al.). Author Index.

















 
 
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