Nitrogen status estimation of rice crop in western tract of Odisha based on image processing techniques

Abstract

Nitrogen is the main component among all nutrients for rice crop growth and production. The leaf nitrogen concentration (LNC) is highly correlated with chlorophyll content. There are many devices like Leaf Color Chart (LCC), SPAD, at LEAF+ for measurement of chlorophyll &/ or nitrogen. As these devices are cost effective and unavailable with all farmers, a digitize image acquisition and interpretation system is required. The paper proposed a site-specific nitrogen status estimation method based on image captured by smartphone, generation of corresponding hexadecimal code and then compare with the hexadecimal code of each swap of LCC. The methodology achieve of 87.27% accuracy with consideration of different rice field, shooting time and growth level.