CD Skripsi
Identifikasi Tandan Buah Segar Kelapa Sawit Berdasarkan Tanah Tumbuh Menggunakan Pencitraan Multispektral Dan Principal Component Analysis
ABSTRACT
Multispectral imaging is a remote sensing method that only records the total intensity falling on each pixel. This method is also use to determine the ripeness of oil palm's fresh fruit bunches (FBB). The soil used for fresh fruit bunches of oil palm is mineral soils and peat soil FFB is the main source of crude palm oil (CPO), to obtain fruit with good quality. The sorting and grading processes will be important in the process of selecting high-quality CPO. This study is aimed to classify the maturity level of oil palm (FFB) based on the reflectance wavelength and ripeness level. Oil palm of growing soils are collected by tenera oil palm of mineral and peat soils by three ripeness levels as unripe, ripe and overripe. Bunches of fresh palm fruit are taken 3 bunches for each ripeness. Each sample is scanned sequentially three times using multispectral imaging. Multispectral images are recorded and processed using Python codes. The relationship between reflectance intensity and wavelength results show that the overripe maturity level highest intensity value in oil palm FFB based on growing soil. This is due to the influence of the internal factors of the FFB oil palm for each ripeness. The results obtained from the relationship between reflectance intensity and ripeness level are good enough due to inversely related to the more ripe the oil palm of the softer the ripeness data are obtained. The hardness is detected by a penetrometer by pressing each midpoint of the palm fruit of each level of ripeness. The results obtained are quite good where each level of ripeness showed results different, where the more ripe the fruit from the FFB of oil palm will be the softer are obtained mineral soil and peat soil.
Keywords : Multispektral Imaging, Oil Palm, Fresh Fruit Bunchess, ripeness, mineral and peat soil
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