Books > Computing & IT > Applications of computing > Artificial intelligence
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Artificial Intelligence for Biology and Agriculture (Paperback, Softcover reprint of the original 1st ed. 1998)
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Artificial Intelligence for Biology and Agriculture (Paperback, Softcover reprint of the original 1st ed. 1998)
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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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