Precision agriculture is now a topic that attracts many researchers due to the importance of food
security. In this topic, using the Unmanned Aerial Vehicle (UAV) for pesticides, monitoring and mapping is under consideration. In addition, the combination of UAV and a multi-spectral camera for imaging has been extensively used for vegetation mapping on the farm. This paper aims to introduce a method for mapping fields by using the multispectral camera mount on a UAV. Ariel images have been captured by a multi-spectral Sentera camera mounted on Phantom4 Pro. Successive images, including the NDVI spectral images and NDRE spectral images with GPS information, are the output of the Sentera camera. A combination of UAV imaging and image processing techniques was used to create the rice planting area mapping. Agisoft software was used to create the Ortho-mosaic images of the NDVI spectral image and NDRE spectral image. After that, digital maps containing information about the Normalised Difference Vegetation Index (NDVI) and Normalised Difference Red-Edge (NDRE) were created. An observation area was created from the map to evaluate crop health by using these indices. This area included both the middle-stage rice field and the dragon fruits farm with channels. The crop health is validated again by using the RGB aerial image. By comparing the maps and actual surveys, the rice fields' health can evaluate and
improve rice cultivation management. It seems that the NDRE value was the best indicator in visualizing the health of the rice field while the NDVI was better for the dragon fruits field. Utilizing these maps, field visits by farmers can be minimized and farmers can concentrate on the diseased location and give appropriate treatment.