Immature paddy quantity determination using image processing and analysis techniques

Image processing and analysis techniques that enable determination of percentage immature paddy in a sample were developed. The red, green and blue (RGB) images captured from digital colour camera were transformed to the principle component analysis (peA) images for detecting immature paddy. The transformed images successfully identified the immature paddy with mean accuracy of 99.8%. An immature paddy weight prediction model was developed for calculating the percentage immature paddy. Result showed that the model is capable to predict the percentage of immature paddy with mean accuracy of 94.45%.