Artificial intelligence in agriculture 1998 : a proceedings volume from the 3rd IFAC/CIGR Workshop, Makuhari, Chiba, Japan 24-26 April 1998
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書誌事項
Artificial intelligence in agriculture 1998 : a proceedings volume from the 3rd IFAC/CIGR Workshop, Makuhari, Chiba, Japan 24-26 April 1998
Published for the International Federation of Automatic Control by Pergamon, 1998
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注記
Includes bibliographies and index
内容説明・目次
内容説明
These proceedings contain the papers presented at the 3rd IFAC/CIGR Workshop on AI in Agriculture, held at Chiba in Japan during April 1998. Four major global issues, namely, a shortage of food, a shortage of fuel energy/natural resources, environmental pollution and instability of various ecosystems, will become increasingly critical in the early-21st century, when the world population is predicted to reach nearly 10 billion. It is hoped that the papers included in these proceedings will contribute to solving the above global issues, improving the quality of research and widening the application fields of artificial intelligence in agriculture.
目次
AI approaches to identification and control of total plant production - for SPA and SFA to environmental control (T. Morimoto, Y. Hashimoto). Phytotechnology. Theoretical possibility of Lotka-Volterra competition model to be applied on plants ecosystem (K. Sakai et al. ). Stochastic scheduling for mechanical sugarcane harvesting (I.W. Astika et al. ). Design and implementation of a computer-based control system for greenhouse in tropical regions (K.B. Seminar et al. ). Fuzzy Logic and Control Applications. Representing and processing uncertain soil information in a fuzzy constraint framework (R. Martin-Clouaire et al. ). An intelligent control technique based on fuzzy controls, neural networks and genetic algorithms for greenhouse automation (T. Morimoto, Y. Hashimoto). Experiments with a process control optimizer (A. Anastasiou et al. ). Neural Network Applications and Intelligent Image Processing. Application of neural network to identification of soybean varieties using leaflet shape images (M. Oide, S. Ninomiya). Performance of neural networks to modelling agroecological processes at different spatial scales (R. Wieland, A. Schultz). Application of neural network to predict leaf area of cabbage plug seedlings population by machine vision (T. Suzuki, H. Murase). AI Applications (I). A photosynthetic learning algorithm for the training of neural network (H. Murase, A. Wadano). Genetic-algorithm-based machine learning for crop management (K. Kurata, Y. Iida). Evolutionary algorithms for knowledge discovery and model-based decision support (E. Jallas et al. ). AI Applications (II). A sequential learning algorithm of neural network and its application in crop variety selection (C. Deng et al. ). Vision intelligence for an agricultural mobile robot using a neural network (N. Noguchi et al. ). Leaf area measurement using stereo vision (T. Kanuma et al. ). AI Applications (III). Yield forecast of cherry tomatoes by a topological case based modeling system (T. Hoshi et al. ). Simulation of the computer controlled dehydrator for raw vegetable mass (M.M. Stefanovic, M.B. Stakic). Study and application of agricultural production decision-making consulting system (APDCS) (G. Yan et al. ).
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