Multispectral Imaging for Identification of Water Stress and Chlorophyll Content in Paddy Field Using Vegetation Indices

The characteristics of the agricultural plants can be identified with the help of multispectral imaging technique. The wavelength of the light determines the color of the object in scene. The proposed method uses multispectral imaging to access paddy crop quality parameters such as chlorophyll content in leaves and water stress. A qualitative analysis is made through comparison with the reference methods, and the necessary correlation is obtained. The proposed method provides a reliable, non-destructive, flexible, and fast quality assessment technique for improving the yield of the paddy crop. Based on the results, the variability in the field is identified, and input materials are suggested as needed. The data can be mapped to identify the chlorophyll content in the leaf, wherein the vegetation indices and the color mapping was found to successfully identify the water stress during the different month of cultivation.