Ripeness Classification of Oil Palm Fresh Fruit Bunch Using an Optical Probe
Abstract
Penggunaan spektroskopi fluoresensi yang nondestruktif bidang pertanian semakin intensif dilakukan khususnya untuk evaluasi produk pertanian. Sortasi dan grading Tandan Buah Segar (TBS) Kelapa Sawit sebelum memasuki proses produksi Crude Palm Oil sangat penting untuk memenuhi standar produksi dan ekspor. Sistem sortasi dan grading elektronik dibutuhkan untuk mengantikan metode sortasi manual mengandalkan penglihatan dan pengalaman. Pada penelitian ini probe optik yang terdiri dari laser dioda 640 nm dan dua fotodioda inframerah dalam konfigurasi triangulasi digunakan untuk mengevaluasi tingkat kematangan TBS kelapa sawit dan hubungannya dengan kekerasan buah dan tegangan fotodioda. Sampel terdiri dari 23 TBS Tenera. Buah kelapa sawit pada setiap TBS disinari laser pada tiga bagian yaitu pangkal, tengah dan ujung, setiap bagian terdiri dari tiga buah kelapa sawit. Tegangan keluaran dari kedua fotodioda dijumlahkan dan diperkuat oleh rangkaian multiboard komersial. Setelah tegangan diperoleh, ke-9 buah kelapa sawit dilepaskan dari TBS, tingkat kekerasan buah diukur mengunakan penetrometer. Hasil penelitian menunjukkan bahwa tingkat kematangan TBS mempunyai korelasi linier terhadap kekerasan buah dengan kekerasan yang tertinggi pada buah mentah sebesar 9,39 kg/cm2 dan terendah pada buah terlalu matang sebesar 5,64 kg/cm2. Nilai tegangan rata-rata terkecil pada buah mentah dan tertinggi pada buah matang kemudian turun pada buah lewat matang. Hasil K-means clustering menunjukkan pengelompokan 4 tingkat kematangan berdasarkan nilai kekerasan dan tegangan yaitu F0, F1, F2, dan F3.
Applications of nondestructive fluorescence spectroscopy in agriculture have been intensively carried out especially to evaluate agriculture products. Sorting and grading oil palm fresh fruit bunches (FFB) before Crude Palm Oil milling processes are important tasks to meet the production and export standards. Electronic systems for sorting and grading of FFBs are needed to replace manual sorting method which depends on human vision and experience. In this study, an optical probe consisted of a 635 nm diode laser and two photodiodes was used to evaluate the ripeness level of oil palm FFB and its relation to both the fruitlet firmness and resulted photodiode voltages. Laser was directed to each of nine fruitlets of each FFB from three parts; basil, equatorial, and apical. Output voltages from each photodiode were summed and amplified by a commercially multi-board circuit. Then their firmness levels were obtained using a penetrometer. The results show that there is a linear correlation between the firmness levels and the FFB ripeness levels. The firmness values ranges from 9.39 kg/cm2 for unripe FFB and 5.64 kg/cm2 for overripe FFB. The highest voltage is obtained for ripe FFB and less for unripe and overripe FFB. K-means clustering results indicate that the overall ripeness levels are grouped into 4 levels of ripeness, namely F0, F1, F2 and F3 based on the values of hardness and the voltage of each sample.
Keywords: Fluorescence Spectroscopy, Oil Palm, Fresh Fruit Bunch, Firmness, Optical Probe
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Abdullah, N. E, H. Hashim, M. F. Sulaiman, N. K. Madzhi, A. F. Mohd Sampian, F. A. Ismail. 2015. A Rudimentary Optical System in Detecting Ripeness of Red Watermelon. IOP Conf. Series: Materials Science and Engineering 99.
Alfatni, M.S.M.; Shariff, A.R.M.; Shafri, H.Z.M.; Saaed, O.M.B.; Eshanta, O.M. Oil palm fruit bunch grading system using red, green and blue digital number. J. Appl. Sci. 2008, 8, 1444–1452.
Athmaselvi, K.A., P. Jenne., C. Pavithra., I. Roy. 2014. Physical and biochemical properties of selected tropical fruits. International Agrophysics. 28. Pp. 383-388.
Bodria, L., Fiala, M., Guidetti, R., Oberti, R. 2004. Optical Techniques to Estimate the Ripeness of Red-Pigmented Fruits. American Society of Agricultural Engineers ISSN 0001-2351, Vol 47(3): 815-820
Chopra, S., A.R.P Kingsly, A.R.P., Jha, S.N. 2006. Non-Destructive Determination of Firmness And Yellowness Of Mango During Growth And Storage Using Visual Spectroscopy. Biosystems Engineering. Vol.94(3) :397-402.
Fahim, A. 2006. An efficient Enhanced K-Means Clustering Algoritma. Journal of Zhejiang University Science. Vol. 7(10):1626-1633
Fauzi Y, Widyastuti YE, Satyawibawa I, Hartono R. 2007. Kelapa Sawit: Budidaya, Pemanfaatan Hasil dan Limbah, Analisis Usaha dan Pemasaran. Jakarta (ID): Penebar Swadaya
Haryanto, G., 2008. Probe Optik untuk Mengukur Konsentrasi Fitoplankton, Studi Kasus Scenedesmus SP. Tesis. UI. (2008)
Hazir, M. M. H., Shariff, A. R. M., Amiruddin, M. A. 2012. Determination of oil palm fresh fruit bunch ripeness-Based on flavonoid and anthocyanin content. Journal Industrial Crops and Products. Vol. 36: 466-475.
Harun, N.H., Norisham, M., Roslina, M. S., Ishak, I., Hiroyuki, W., Kunihisa, T. 2014. Dual resonant frequencies effects on an Induction-Based Oil Palm Fruits Sensor. Journal sensors. Vol. 14: 21923-21940.
K. Sunilkumar and D. S. Sparjan Babu, Surface color based prediction of oil content in oil palm (Elaeis guineensis Jacq.) fresh fruit bunch, African Journal of Agricultural Research 8 564-569 (2013).
M Kassim, M. S, W. I. Wan Ismail and L. H. Teik Oil Palm Fruit Classifications by using Near Infrared Images. 2014. Research Journal of Applied Sciences, Engineering and Technology 7(11): 2200-2207, 2014
Liew, C. Y dan C. Y. Lau, 2012. Determination of quality in Cavendish banana during ripening by NIR spectroscopy. International Food Research Journal. Vol. 19:752-758
Mahendran,R, G.C. Jayashree, K. Alagusundaram . 2012. Application of Computer Vision Technique on Sorting and Grading of Fruits and Vegetables. J Food Process Technol S1-001
Razali, M. H., A. Somad., M. A. Halim., S. Roslan. 2012. A Review on Crop Plant Production and Ripeness Forecasting. International Journal of Agriculture and Crop Sciences, Vol 4: 54-63
Thoriq, A. 2013. Pengembangan System Deteksi Kematangan Tandan Buah Segar Kelapa Sawit (TBS) Berbasis Spektrum Cahaya Tampak. Tesis, Program Studi Teknik Mesin Pertanian dan Pangan Institut Pertanian Bogor, Bogor.
Van Beers, R., L. L. Gutierrez., A. Schenk., B. Nicolai., E. Kayacan., W. Saeys. 2014. Optical Measurement Techniques for the Ripeness Determination of Braeburn Apples. Proceedings International Conference of Agricultural Engineering, Zurich, 06-10.07.2014
Zhang, H., J. Huang, T. Li, X. Wu, S. Svanberg, K. Svanberg. 2014. Studies of tropical fruit ripening using three different spectroscopic techniques. Journal of Biomedical Optics. 19 (6). Pp. 067001.
DOI: https://doi.org/10.24815/jacps.v8i3.14122
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