NPK Deficiency Detection in Paddy Leaf Images

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S. Geeta Brahmini, K. Jhansi Rani


Majority of people in India has got their source of income by means of rice cultivation (approximately 70%). But if they easily prone to deficiencies the entire crop field will be wasted. So, in order to get the paddy field high we need to predict the diseases or deficiencies caused to that paddy fields. Paddy leaves will be deficient with multiple nutrient components at a same time. The deviation from being healthy can be identified based on the color and pattern because the healthy leaves are dominant in green color rather than any other color, whereas unhealthy leaves are not dominant in green. The proposed work is to identify individual N, P, K and combination of nitrogen phosphorous (NP), nitrogen-potassium (NK), phosphorous-potassium (PK) and nitrogen-phosphorous-potassium (NPK) deficiencies in a leaf at a same time. Here pattern analysis and RGB color options are extracted to spot defected paddy leaves. Multiple color and multiple pattern comparison is done against the healthy leaves thereby we can easily identify the exact deficiency of nutrient (like N, P, K, NP, NK, PK, NPK) of that unhealthy leaf.

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How to Cite
, S. G. B. K. J. R. (2017). NPK Deficiency Detection in Paddy Leaf Images. International Journal on Future Revolution in Computer Science &Amp; Communication Engineering, 3(9), 102–107. Retrieved from