Multi-layer neural networks for image analysis of agricultural products
2000
Jayas, D.S. | Paliwal, J. | Visen, N.S.
Neural networks have recently gained popularity as an alternative to regression models to characterize biological processes. Their decision-making capabilities can be best used in image analysis of biological products where the shape and size classification is not governed by any mathematical function. This paper reviews the technique of image analysis of agricultural products with reference to use of neural network classifiers for decision making. A thorough review of published literature reveals that, although many neural network classifiers have been used and evaluated for classifying agricultural products, multi-layer neural network classifiers perform the best for such tasks.
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