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Unmanned Aerial Vehicle  (UAV), namely drone, is one of the aerial platforms, which used to monitor and mapping an agricultural sectors at large area. The platform equipped with some compact camera or sensors. This study aims to identify the peat soil physical properties, which correlated with the pineapple crops healthiness index. The index based on visible Red, Blue, Green (RGB) and Near Infrared (NIR) of spectral wavelength taken from multispectral camera mounted at the drone. The data captured with the drone validated with laboratory test result obtained from the soil samples at the site. The multispectral images of three plots of pineapple crops from the age of 4 months to 14 months was take to check their healthiness index. Soil moisture content and pH value were also test from 28 soil samples. The healthiness of the crops were analysed using both data and the results then compared and correlated. This contribution focuses at the study area of Morris pineapple crops that were cultivated on peat soil in Parit Nipah, Batu Pahat. It was found that the moisture content and pH value of the peat soil is linear with the index level of colour reflectance produced from the multispectral image. As a result, this study gives a proof that using of multispectral images technology from drone is able to correlate between the healthiness of pineapple crops with the soil physical properties.

Mapping of Peat Soil Physical Properties by Using Drone- Based Multispectral Vegetation Imagery