An image acquisition system for automated monitoring of the germination rate of sunflower seeds
Author:
Publisher
Elsevier BV
Subject
Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry
Reference15 articles.
1. Comparison of multilayer perceptron and probabilistic neural networks in artificial vision. Application to the discrimination of seeds;Chtioui;Journal of Chemometrics,1997
2. Clément, A., Vigouroux, B., 2002. Unsupervised classification of pixels in color images by hierarchical analysis of bi-dimensional histograms, in: Proceedings of the IEEE International Conference on Systems. Man and Cybernetics, Hammamet, Tunisia (CDrom).
3. Unsupervised segmentation of scenes containing vegetation (Forsythia) and soil by hierarchical analysis of bi-dimensional histograms;Clément;Pattern Recognition Letters,2003
4. The application of image analysis in monitoring the imbibition process of white cabbage (Brassica oleracea L.) seeds;Dell’Aquila;Seed Science Research,2000
5. Evaluation of seedling size following germination using computer-aided analysis of digital images from flat-bed scanner;Geneve;Hortscience,2001
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