AUTOMATIC SEED CLASSIFICATION BY MULTI-LAYER NEURAL NETWORK WITH SPATIAL-FEATURE EXTRACTION

Now a day’s research works on agriculture field have been widely implemented and it is the department that shows rapid growth. This
improved growth has shaken its hands to technology for extreme growth. Man, free system for food processing unit like classification
based on variety, quality and other aspects. This paper expresses about seed classification based on multiple feature extraction and
minimum distance classifier. Feature extraction is associated with spatial, color, shape, texture and statistical features. We have used rice,
corn and wheat for this classification process. Too many features have been extracted. Optimum morphological features are extracted fordatabase creation. Training and classification by Means of Multi-Layer Perceptron neural network and Neuro-fuzzy neural network.
Matlab tool have been used for entire process.