Assessment of paddy disease using multispectral technology: a study case in Perlis / Najwa Imani Mohd Ali

Paddy agriculture is the most important crop in Malaysia as it provides income to smallholder farmers and ensures the food security. Meanwhile, the paddy disease problem will affect the production and the country will continue to depend on import the paddy to meet the needs of the population. This study aimed to generate the indices value of the paddy disease and identify a disease on paddy in Perlis using a multispectral technique in view of the industrial revolution 4.0 (IR4). Multispectral aerial imagery is used to achieve better accuracy in paddy disease detection. Pix4D is used to analyse the data to process the multispectral aerial images, and ArcMap is used to perform the analyses. Vegetation indices was utilised to measure the vegetation status at paddy field. The sample of paddy in Perlis shows paddy diseases such as paddy blast, brown spot, sheath blight and narrow brown spot had been detected. The results concluded that the vegetation index value for NDVI is from range 0.000 to 0.935 while for NDRE value is from -0.034 to 0.553 which provided positive linear correlations to each other’s. It contributed useful information about paddy health, especially to detect paddy diseases, reduce disease risk and help farmers in Perlis to increase their paddy production according to SDG 2 which is Zero to hunger.