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Synopsis
and morphological identification of cotton fibers depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange grading systems in the article "Video grading of oranges in real-time" further reports the capability of computer vision technology to meet the demand of high quality food products. The integration of neural network technology with computer vision and fuzzy logic for defect-detection in eggs and identification of lettuce growth shows the power of hybridization of AI technologies to solve agricultural problems. Additional papers also focus on automated modeling of physiological processes during postharvest distribution of agricultural products, the applications of neural networks, fusion of AI technologies and three dimensional computer vision technologies for different problems ranging from botanical identification, cell migration analysis to food microstructure evaluation. This special issue "Artificial Intelligence in Biology and Agriculture" has been made possible due to the unconditional help, cooperation and time devotion from many people. We highly appreciate the contributions from the authors and their co-authors. We sincerely acknowledge all reviewers for taking time to review these articles. The reviewers were: Dr. Kuanglin Chao, Dr. Floyd E. Dowell, Dr. Laurent Gauthier, Dr. Paul H. Heinemann, Dr. Zhiwei Li, Dr. Bosoon Park, Dr. Jinglu Tan, Dr. Chi Ngoc Thai, Dr. Basant Ubhaya, Dr. Naiqian Zhang, Dr. Irfan Ahmad, Dr. David Vacaari, Dr. Young Han, Dr. Lary Kutz, Dr. David Slaughter, Dr. Digvir Jayas, Dr. Marvin Paulsen, Dr. George Hoogenboom, Dr. Mark Evans, Dr. Glen Kranzler, and Dr.
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Artificial Intelligence for Biology and Agriculture
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Artificial Intelligence for Biology and Agriculture
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Artificial Intelligence for Biology and Agriculture (Hardcover)
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Kluwer Academic Publishers, Dordrecht, 1998
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Hardcover. Etat : new. Hardcover. This volume contains a total of 13 papers covering a variety of artificial intelligence topics ranging from computer vision and robotics to intelligent modelling, neural networks and fuzzy logic. There are two general articles on robotics and fuzzy logic. The article on robotics focuses on the application of robotics technology in plant production. The second article on fuzzy logic provides a general overview of the basics of fuzzy logic and a typical agricultural application of fuzzy logic. The article "End effectors for tomato harvesting" enhances further the robotic research as applied to tomato harvesting. The application of computer vision techniques for different biological/agricultural applications, for example, length determination of cheese threads, recognition of plankton images and morphological identification of cotton fibres, depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange-grading system in the article "Video grading of oranges in real-time" further reports the capability of computer vision technology to meet the demand of high quality food products. Contains thirteen papers covering a variety of AI topics ranging from computer vision and robotics to intelligent modeling, neural networks and fuzzy logic. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9780792350989
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Artificial Intelligence for Biology and Agriculture
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Artificial Intelligence for Biology and Agriculture
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Springer Netherlands Jun 1998, 1998
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Buch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -and morphological identification of cotton fibers depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange grading systems in the article 'Video grading of oranges in real-time' further reports the capability of computer vision technology to meet the demand of high quality food products. The integration of neural network technology with computer vision and fuzzy logic for defect-detection in eggs and identification of lettuce growth shows the power of hybridization of AI technologies to solve agricultural problems. Additional papers also focus on automated modeling of physiological processes during postharvest distribution of agricultural products, the applications of neural networks, fusion of AI technologies and three dimensional computer vision technologies for different problems ranging from botanical identification, cell migration analysis to food microstructure evaluation. This special issue 'Artificial Intelligence in Biology and Agriculture' has been made possible due to the unconditional help, cooperation and time devotion from many people. We highly appreciate the contributions from the authors and their co-authors. We sincerely acknowledge all reviewers for taking time to review these articles. The reviewers were: Dr. Kuanglin Chao, Dr. Floyd E. Dowell, Dr. Laurent Gauthier, Dr. Paul H. Heinemann, Dr. Zhiwei Li, Dr. Bosoon Park, Dr. Jinglu Tan, Dr. Chi Ngoc Thai, Dr. Basant Ubhaya, Dr. Naiqian Zhang, Dr. Irfan Ahmad, Dr. David Vacaari, Dr. Young Han, Dr. Lary Kutz, Dr. David Slaughter, Dr. Digvir Jayas, Dr. Marvin Paulsen, Dr. George Hoogenboom, Dr. Mark Evans, Dr. Glen Kranzler, and Dr. 272 pp. Englisch. N° de réf. du vendeur 9780792350989
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Artificial Intelligence for Biology and Agriculture
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Springer Netherlands, 1998
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ISBN 13 : 9780792350989
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Gebunden. Etat : New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Preface. End-Effectors for Tomato Harvesting Robot M. Monta, et al. A Computer Vision Method for Determining Length of Cheese Shreds H. Ni, S. Gunasekaran. Automated Modelling of Physiological Processes During Postharvest Distribution of Agricultural . N° de réf. du vendeur 5968484
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Artificial Intelligence for Biology and Agriculture
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Springer Netherlands, Springer Netherlands Jun 1998, 1998
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ISBN 13 : 9780792350989
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Buch. Etat : Neu. Neuware -and morphological identification of cotton fibers depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange grading systems in the article 'Video grading of oranges in real-time' further reports the capability of computer vision technology to meet the demand of high quality food products. The integration of neural network technology with computer vision and fuzzy logic for defect-detection in eggs and identification of lettuce growth shows the power of hybridization of AI technologies to solve agricultural problems. Additional papers also focus on automated modeling of physiological processes during postharvest distribution of agricultural products, the applications of neural networks, fusion of AI technologies and three dimensional computer vision technologies for different problems ranging from botanical identification, cell migration analysis to food microstructure evaluation. This special issue 'Artificial Intelligence in Biology and Agriculture' has been made possible due to the unconditional help, cooperation and time devotion from many people. We highly appreciate the contributions from the authors and their co-authors. We sincerely acknowledge all reviewers for taking time to review these articles. The reviewers were: Dr. Kuanglin Chao, Dr. Floyd E. Dowell, Dr. Laurent Gauthier, Dr. Paul H. Heinemann, Dr. Zhiwei Li, Dr. Bosoon Park, Dr. Jinglu Tan, Dr. Chi Ngoc Thai, Dr. Basant Ubhaya, Dr. Naiqian Zhang, Dr. Irfan Ahmad, Dr. David Vacaari, Dr. Young Han, Dr. Lary Kutz, Dr. David Slaughter, Dr. Digvir Jayas, Dr. Marvin Paulsen, Dr. George Hoogenboom, Dr. Mark Evans, Dr. Glen Kranzler, and Dr.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 272 pp. Englisch. N° de réf. du vendeur 9780792350989
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Artificial Intelligence for Biology and Agriculture
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ISBN 13 : 9780792350989
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Buch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - and morphological identification of cotton fibers depicts the complexity and heterogeneities of the problems and their solutions. The development of a real-time orange grading systems in the article 'Video grading of oranges in real-time' further reports the capability of computer vision technology to meet the demand of high quality food products. The integration of neural network technology with computer vision and fuzzy logic for defect-detection in eggs and identification of lettuce growth shows the power of hybridization of AI technologies to solve agricultural problems. Additional papers also focus on automated modeling of physiological processes during postharvest distribution of agricultural products, the applications of neural networks, fusion of AI technologies and three dimensional computer vision technologies for different problems ranging from botanical identification, cell migration analysis to food microstructure evaluation. This special issue 'Artificial Intelligence in Biology and Agriculture' has been made possible due to the unconditional help, cooperation and time devotion from many people. We highly appreciate the contributions from the authors and their co-authors. We sincerely acknowledge all reviewers for taking time to review these articles. The reviewers were: Dr. Kuanglin Chao, Dr. Floyd E. Dowell, Dr. Laurent Gauthier, Dr. Paul H. Heinemann, Dr. Zhiwei Li, Dr. Bosoon Park, Dr. Jinglu Tan, Dr. Chi Ngoc Thai, Dr. Basant Ubhaya, Dr. Naiqian Zhang, Dr. Irfan Ahmad, Dr. David Vacaari, Dr. Young Han, Dr. Lary Kutz, Dr. David Slaughter, Dr. Digvir Jayas, Dr. Marvin Paulsen, Dr. George Hoogenboom, Dr. Mark Evans, Dr. Glen Kranzler, and Dr. N° de réf. du vendeur 9780792350989
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Artificial Intelligence for Biology and Agriculture
Edité par
Kluwer Academic Publishers, 1998
ISBN 10 : 0792350987
ISBN 13 : 9780792350989
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Etat : New. Contains thirteen papers covering a variety of AI topics ranging from computer vision and robotics to intelligent modeling, neural networks and fuzzy logic. Editor(s): Panigrahi, S.; Ting, K. C. Num Pages: 266 pages, biography. BIC Classification: TVD; UYQ. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 235 x 155 x 15. Weight in Grams: 1230. . 1998. Reprinted from ARTIFICIAL INTELLIGENCE REVIEW, 12. Hardback. . . . . N° de réf. du vendeur V9780792350989
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Artificial Intelligence for Biology and Agriculture
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ISBN 13 : 9780792350989
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Hardcover. Etat : Like New. Like New. book. N° de réf. du vendeur ERICA77307923509876
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