scholarly journals Ripeness Classification of Oil Palm Fresh Fruit Bunch Using an Optical Probe

2019 ◽  
Vol 8 (3) ◽  
pp. 72-77
Author(s):  
Nurmaya Sari ◽  
Minarni Shiddiq ◽  
Ramma Hayu Fitra ◽  
Nadia Zakyyah Yasmin
Keyword(s):  
Fluorescence Spectroscopy ◽  
Palm Oil ◽  
Oil Palm ◽  
Optical Probe ◽  
Fresh Fruit ◽  
Human Vision ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunch ◽  
Fresh Fruit Bunches ◽  
Agriculture Products

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

scholarly journals Ripeness Level Classification of Oil Palm Fresh Fruit Bunch Using Laser Induced Fluorescence Imaging

2019 ◽  
Vol 8 (3) ◽  
pp. 84-89
Author(s):  
Hefniati Ishak ◽  
Minarni Shiddiq ◽  
Ramma Hayu Fitra ◽  
Nadia Zakyyah Yasmin
Keyword(s):  
Fluorescence Imaging ◽  
Palm Oil ◽  
Oil Palm ◽  
Laser Light ◽  
Laser Induced Fluorescence ◽  
Fresh Fruit ◽  
Human Vision ◽  
Imaging Method ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunches

Tingkat Kematangan Tandan Buah Segar (TBS) kelapa Sawit merupakan faktor penentu kualitas crude palm oil (CPO) yang dihasilkan pabrik kelapa sawit. Metode penyortiran TBS setelah panen atau sebelum memasuki proses perebusan pada umumnya dilakukan secara manual mengandalkan penglihatan dan pengalaman. Metode ini rentan kesalahan dan bersifat subyektif. Metode pencitraan berkembang sangat cepat karena kemajuan dalam bidang komputer dan teknik pengolahan citra, khususnya untuk sistem sortasi dan grading. Penelitian ini mengunakan metode pencitraan fluoresensi yang diinduksi laser untuk mengakses dan mengklasifikasi tingkat kematangan TBS kelapa sawit. Hubungan antara tingkat keabuan dan tingkat kekerasan buah TBS dianalisa. Sampel terdiri dari 27 TBS kelapa sawit varietas Tenera. Tingkat kematangan dikategorikan oleh pemanen berpengalaman menjadi mentah, matang, dan lewat matang. Tiga bagian TBS yaitu pangkal, tengah, dan ujung disinari laser dioda 640 nm mengenai 5 buah pada tiap bagian. Kemudian citra direkam mengunakan kamera CMOS monokrom. Selanjutnya 15 buah tersebut diuji tingkat kekerasan mengunakan penetrometer. Klasifikasi tingkat kematangan dilakukan mengunakan K-mean clustering. Hasil penelitian memperlihatkan bahwa metode pencitraan fluoresensi yang diinduksi laser potensial digunakan dalam mengklasifikasi tingkat kematangan TBS. Tingkat kekerasan buah berkorelasi positif terhadap tingkat keabuan citra TBS. K-mean clustering memperlihatkan tiga kelompok tingkat kematangan yang terdiri dari 0, 1 dan 2. Ripeness levels of oil palm fresh fruit bunches (FFB) are the main factor to determine the quality of crude palm oil (CPO) produced by Oil Palm Mill. Sorting oil palm FFB after harvest or before entering the boiling process is generally done manually which relies on human vision and experience. Imaging methods has developed vastly due to advances in computer and image processing techniques. This study used a laser-induced fluorescence imaging to access and classify the ripeness levels of oil palm FFB of Tenera variety. The relationship between gray value and the level of firmness of FFB fruit was analyzed. The samples consisted of 27 oil palm FFB categorized  by experienced harvester as unripe, ripe, and overripe. Laser light was shone on equatorial part of each FFB such that 5 fruitlets were covered by laser light, then the image of the front part was acquire using a monochrome CMOS camera. The step was repeated for basil and apical parts in sequent. All 15 fruitlets were testing for the firmness level using a penetrometer. Ripeness level classification was done using K-mean clustering. The results showed that the laser-induced fluorescence imaging method are potential to be used to determine the ripeness levels of FFB. The fruit firmness is positively correlated with the gray value of the image of FFB. K-mean clustering shows three ripeness centroid of 0, 1 and 2 . Keyword: Fluorecence Imaging, Oil Palm, Fresh Fruit Bunches, Firmness, Laser Induced Fluorecence

scholarly journals Design and development of a motor operated oil palm crusher for smallholder growers in Bangladesh

2019 ◽  
Vol 30 (1) ◽  
pp. 141-149
Author(s):  
MA Awal ◽  
SS Tabriz
Keyword(s):  
Palm Oil ◽  
Oil Recovery ◽  
Electric Motor ◽  
Oil Palm ◽  
Recovery Rate ◽  
Fresh Fruit ◽  
Design Parameters ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunch ◽  
Rotating Speed

At present oil palm growers are facing problem to extract crude palm oil in Bangladesh. Processing of palm oil categorized into various forms but basic processing stages are essentially the same including harvesting, sterilization, bunch stripping, digestion, crushing, clarification and drying. Extracting of palm oil is very difficult by traditional method and oil recovery rate is very low. Although mechanical processing is costly but produces good quality Crude Palm Oil (CPO) and oil recovery rate is high. An electric motor operated oil palm crusher was designed and developed and tested in laboratory under the Department of Farm Power and Machinery, Bangladesh Agricultural University, Mymensingh for processing of crude palm oil from fresh fruit bunch. The crusher was designed by using Auto-Cad software. It was fabricated according to design parameters. The major parts of the crusher were screw shaft, cylinder, hopper, hollow bars, pressure case cap, jamnut and frame which were fabricated by mild steel (MS), ball bearing, gear and pinion, line and idle shaft and spring were fabricated by carbon steel (CS) whereas driver and driven pulley were fabricated by cast iron(CI). Crusher was mounted on the frame. A 9 hp electric motor was used as a power source. Crusher was tested after fabrication and 3000 gm fresh fruits were used. About 700 gm crude palm oil, 800 gm oil cake, 1400 gm skum were collected from 2700 gm pretreated fruits. The crushing capacity and crude oil percentage of the crusher was 6.49 kg/hr and 25.93%, respectively. Rotating speed of screw was 40 rpm for smooth running. The weight of crusher was only 70 kg which is easy to operate by single person. The developed oil palm crusher may fulfill the demand of smallholder growers to extract oil from fresh fruit bunches. Progressive Agriculture 30 (1): 141-149, 2019

scholarly journals STUDI PERBANDINGAN RANTAI PEMASARAN TANDAN BUAH SEGAR KELAPA SAWIT DI DESA JONGGON KABUPATEN KUTAI KARTANEGARA

2020 ◽  
Vol 5 (02) ◽  
pp. 142-150
Author(s):  
Ahmad Reza Vahlevi ◽  
Ernita Obeth ◽  
Budi Winarni ◽  
Budi Winarni
Keyword(s):  
Supply Chain ◽  
Palm Oil ◽  
Oil Palm ◽  
Marketing Channel ◽  
Fresh Fruit ◽  
Raw Material ◽  
Crude Palm Oil ◽  
Oil Processing ◽  
Cooperative Processing ◽  
Fresh Fruit Bunches

This research is motivated by oil palm farmers, which is in contrast to the high demand for fresh fruit bunches, as the main raw material for producing crude palm oil. On the other hand, oil palm smallholders are also involved in several different supply chains. The purpose of this study was to determine the management of fresh fruit bunches  marketing and the amount of profit received by farmers through the marketing of oil palm fresh fruit bunches  in Jonggon Village, Kutai Kartanegara Regency. The analytical method used is descriptive quantitative and marketing margin analysis. The method of determining respondents used purposive sampling method and the respondents in this study were plasma and non-plasma farmers, collector traders and plasma cooperatives, and crude palm oil processing factories owned by PT. Niaga Mas Gemilang in Jonggon Village, Kutai Kartanegara Regency. The results of the respondents' research are in 2 running marketing channels, namely the first marketing channel, namely farmer-cooperative-processing factory, and the second one is farmer-trader-processing factory. Farmers involved in the first supply chain get a profit of Rp. 900 / kg and the farmers involved in the second supply chain get a profit of Rp. 1070 / kg.

scholarly journals IMPLEMENTASI JARINGAN SYARAF TIRUAN (JST) DAN PENGOLAHAN CITRA UNTUK KlASIFIKASI KEMATANGAN TBS KELAPA SAWIT

2018 ◽  
Vol 15 (1) ◽  
pp. 36
Author(s):  
Minarni Minarni ◽  
Roni Salumbae ◽  
Zilhan Hasbi
Keyword(s):  
Oil Palm ◽  
Color Space ◽  
Human Perception ◽  
Image Data ◽  
Cost Effective ◽  
Fresh Fruit ◽  
Human Vision ◽  
Palm Fruit ◽  
Color Parameters ◽  
Fresh Fruit Bunches

The clasification of ripeness stages of oil palm fresh fruit bunches (FFBs) can be done using color parameters. These parameters are often evaluated by human vision, whose degree of accuracy is subjective which can cause doubt in judgement. Automatic clasifications offreshfruit bunches (FFBs) based on color parameters can be done using computer vision. This method is known as a nondestructive, fast and cost effective method. In this research, a MATLAB computer program has been developed which consists of RGB and HSV GUI which is used to record, display, and process FFB image data. The backpropagation artificial neural network (ANN) program is also developed which is used to classify the oil palm fruit fresh bunches (FFBs). Samples are fresh fruit bunches (FFB) of oil palm varieties of Tenera which comprise of Topaz, Marihat, and Lonsum clones. Each clone composed of three levels of ripeness represented by five fractions. The measurements were started by capturing images of oil palm, extracting RGB and HSV values, calculating weight values from the image database to make anANN program, preparing grid programs for oil palm FFBs, and comparing grading levels of oil palm FFBs using program and by harvester. This program successfully classified oil palm (FFBs) into three categories of ripeness which are unripe (F0 and F1), ripe (F1 and F1) and over ripe (F4 and F5). The RGB and HSV programs successfully classified 79 out of 216 FFBs or 36.57% and 106 out of 216 TBS or 49.07%. Respectively the HSV program is better than RGB program because the representation of HSV color space are more understood by human perception hence can be used in calibration and color comparison.

scholarly journals Postharvest Fruit Detachment in Oil Palm Bunches with Ethephon and Ethylene Gas Application

Agriculture ◽  
2021 ◽  
Vol 11 (11) ◽  
pp. 1030
Author(s):  
Arutchelvam Balakrishnan ◽  
Mohd Ibnur Syawal Zakaria ◽  
Bee Aik Tan ◽  
Jaime Yoke Sum Low ◽  
Shwu Fun Kua ◽  
...  
Keyword(s):  
Fatty Acids ◽  
Free Fatty Acids ◽  
Palm Oil ◽  
Oil Palm ◽  
Room Temperature ◽  
Indirect Method ◽  
Production Systems ◽  
Oil Quality ◽  
Crude Palm Oil ◽  
Fresh Fruit Bunches

The processing of oil palm fresh fruit bunches (FFB), together with loose fruits, in the current mill operation contributes to oil loss and high free fatty acids (FFA), affecting crude palm oil quality. Fruit detachment induced by ethephon and ethylene may mitigate the current processing issues. This study shows that a 0.50% (v/v) ethephon application by the evaporation method induced the highest fruit detachment of 30.8 ± 1.1% after 24 h at room temperature, with the FFA content in the extracted crude palm oil at 0.34 ± 0.09%. Ethephon application was effective on bunches between 14 and 28 kg, and fruit detachment was higher in ripe and underripe bunches at 24.1 ± 0.9% and 23.2 ± 0.1%, respectively. A significant fruit detachment of 47.2 ± 2.4% was achieved when the bunches were also stripped mechanically, but the FFA content increased almost 4-fold, from 1.0 ± 0.2% to 3.8 ± 1.2%. The application of ethylene gas at 750 ppm yielded 29.4 ± 1.9% fruit detachment. The findings present the possibility of using ethylene as an indirect method for minimizing oil loss without increasing the FFA content in future crude palm oil production systems.

scholarly journals Pengaruh Jarak Tanam Yang Berbeda Terhadap Pertumbuhan Dan Produksi Kelapa Sawit (Elaeis guineensis Jacq)

2020 ◽  
Vol 5 (1) ◽  
pp. 22
Author(s):  
Hayata Hayata ◽  
Ida Nursanti ◽  
Pandu Kriswibowo
Keyword(s):  
Oil Palm ◽  
Sampling Method ◽  
Elaeis Guineensis ◽  
T Test ◽  
Fresh Fruit ◽  
Plant Spacing ◽  
Fresh Fruit Bunch ◽  
Fresh Fruit Bunches ◽  
Planting Distance

Plant spacing is a factor influencing the growth of oil palm plants. Plant spacing is done to get an area for plant growth, to avoid a sun and nutrients competition for each oil palm plant, and to make it easier maintenance. This study aimed to see   the growth and production of oil palm at different planting distances. This research was carried out at the Oil Palm smallholder Plantation located in Suko Awinjaya Village, Sekernan District, Muaro Jambi Regeny, 64 kilometers (representing 8×8 m spacing) and 69 kilometers (representing 9×9 m spacing). This research was conducted in March-April 2019. The design of the experiment was carried out as an unformatted trial and the location was porpusively chosen as  there were a uniform plants in that location. Sampling determination of the locations was based on spacing differences e.g.  Planting distance 8 × 8 m (P1), Planting distance 9 × 9 m (P2). The Systemic Sampling method was used in this study. The parameters observed were plant height, stem circumference, weight of fresh fruit bunches (FFB), productivity, light intensity, air temperature, air humidity (%). A measured agronomic each observed parameter was analyzed by Independent t test (significant level of 5%). The result showed that the oil palm plantations with 8x8 m distance planted give a higher growth  and a smaller stem circumference than the 9x9m. While a higher both of Fresh Fruit Bunch Weight and productivity were obtained at a 9x9 m spacing than those at 8x8 m planted distance. Keywords: Spacing, Productivity, Oil Palm AbstrakJarak tanam merupakan faktor yang mempengaruhi pertumbuhan tanaman kelapa sawit. Pengaturan jarak tanam adalah untuk mendapatkan ruang tumbuh bagi pertumbuhan tanaman guna menghindari kompetisi memperebutkan unsur hara dan matahari dari setiap tanaman kelapa sawit, serta mempermudah dalam pemeliharaan. Penelitian ini bertujuan untuk melihat pertumbuhan dan produksi kelapa sawit pada jarak tanam yang berbeda. Penelitian ini dilaksanakan di Perkebunan Kelapa Sawit Rakyat yang terletak di Desa Suko Awinjaya, Kecamatan Sekernan Kabupaten Muaro Jambi kilometer 64 (mewakili jarak tanam 8×8 m) dan kilometer 69 (mewakili jarak tanamn 9×9 m). Penelitian ini pada bulan Maret – April 2019. Rancangan Percobaan di lakukan dengan tidak terformat, dan lokasi dipilih secara sengaja karena pada lokasi tersebut terdapat tanaman yang diteliti dan seragam. Penentuan lokasi pengambilan sempel berdasarkan perbedaan jarak tanam yaitu: Jarak tanam 8×8 m (P1), Jarak tanam 9×9 m (P2) Pengambilan sampel pada penelitian ini menggunakan metode Sistemik Sampling. Parameter yang diamati adalah Tinggi tanaman, Lingkar Batang, Berat Tandan Buah Segar (TBS), Produktivitas, Intesitas Cahaya, Suhu Udara, Kelembaban Udara (%), Tindakan Agronomi. Setiap parameter yang diamati dilakukan analisis  Independent t test pada taraf α 5 %. Tanaman Kelapa sawit yang ditanam pada jarak 8x8 m memberikan hasil pertumbuhan yang lebih tinggi dan lingkaran yang lebih kecil dibandingkan dengan jarak tanam 9x9 m. Berat Tandan Buah Segar dan produktivitas yang lebih tinggi didapatkan pada jarak tanam 9x9 m dibandingkan dengan yang ditanam pada jarak 8x8 mKata kunci : Jarak Tanam, Produktivitas, Kelapa sawt

scholarly journals STUDY OF THE UTILIZATION OF PALM OIL INDUSTRY LIQUID WASTE

Konversi ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
An Nisa Fitria ◽  
Vandhie Satyawira Gunawan ◽  
Mardiah Mardiah
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Economic Value ◽  
Liquid Waste ◽  
Oil Industry ◽  
Fresh Fruit ◽  
Added Value ◽  
Palm Fruit ◽  
Fresh Fruit Bunches ◽  
Plantation Crops

Palm oil is one of the plantation crops that have high economic value and is growing rapidly. The wider the area of oil palm plantations in Indonesia, the more palm oil mills will process palm fresh fruit marks and produce waste from processed palm oil, namely solid waste and liquid waste. Each tonne of fresh fruit bunches (FFB) processed at the plant will potentially leave waste of about 23% empty palm oil, 4% wet decanter solid, 6.5% shell, 13% fiber, and 50% liquid waste. This review will discuss the utilization of palm oil mill liquid waste (LCPKS) which is organic material that still contains many benefits such as nutrients, therefore the application of liquid waste is an effort to recycle some of the nutrients (recycling nutrients) which is followed by harvesting fresh fruit bunches (FFB) from oil palm so that it will reduce the cost of fertilization which is classified as very high for oil palm cultivation. During the processing of oil palm fruit into palm oil in the palm oil industry, the remaining process is obtained in the form of liquid waste. If done properly, the liquid waste of the palm oil industry is considerable potential and can increase the added value of waste itself.Keywords: liquid waste industry, palm oil, utilization  

scholarly journals Implementation of Backpropagation Artificial Neural Networks to Predict Palm Oil Price Fresh Fruit Bunches

2018 ◽  
Vol 2 (1) ◽  
pp. 26
Author(s):  
Edi Ismanto ◽  
Noverta Effendi ◽  
Eka Pandu Cynthia
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Palm Oil ◽  
Oil Palm ◽  
Influential Factors ◽  
Fresh Fruit ◽  
Selling Price ◽  
Architecture Model ◽  
Artificial Neural ◽  
Fresh Fruit Bunches

Riau Province is one of the regions known for its plantation products, especially in the oil palm sector, so that Riau Province and regional districts focus on oil palm plants as the main commodity of plantations in Riau. Based on data from the Central Bureau of Statistics (BPS) of Riau Province, the annual production of oil palm plantations, especially smallholder plantations in Riau province has always increased. So is the demand for world CPO. But sometimes the selling price of oil palm fresh fruit bunches (FFB) for smallholder plantations always changes due to many influential factors. With the Artificial Neural Network approach, the Backpropagation algorithm we conduct training and testing of the time series variables that affect the data, namely data on the area of oil palm plantations in Riau Province; Total palm oil production in Riau Province; Palm Oil Productivity in Riau Province; Palm Oil Exports in Riau Province and Average World CPO Prices. Then price predictions will be made in the future. Based on the results of the training and testing, the best Artificial Neural Network (ANN) architecture model was obtained with 9 input layers, 5 hidden layers and 1 output layer. The output of RMSE 0000699 error value and accuracy percentage is 99.97% so that it can make price predictions according to the given target value.

scholarly journals Conceptual Development of Automated Harvester for Tall Oil Palm Tree

2020 ◽  
Author(s):  
Mohd Hudzari ◽  
Muhammad Aliuddin Bakar ◽  
Muhammad Syukri Mohd Sabir
Keyword(s):  
Oil Palm ◽  
Conceptual Development ◽  
Industrial Revolution ◽  
Fresh Fruit ◽  
Palm Tree ◽  
Tall Oil ◽  
Fresh Fruit Bunch ◽  
Advantages And Disadvantages ◽  
Innovation And Invention ◽  
Fresh Fruit Bunches

Innovation and invention in field mechanization for oil palm sector has created a variety of advancement in technology. The change in oil palm operation to mechanization will overcome the problem of labour shortage occurrence in oil palm sector. The problem occurs in harvesting tall oil palm is the height of oil palm that causes difficulty to cut the fresh fruit bunch by using manual labour. Moreover, the use of automated harvester also will make the harvesting operation easier without the requirement of skilled labour and ensuring labour safety. The automated harvester has advantages and disadvantages that need to be improved in meeting the oil palm requirement. This study overviews the mechanization that are used in harvesting tall oil palm. This research project has resulted in the development of high technology mechanization based on previously developed machine for harvesting fresh fruit bunches (FFB) at 10 meter and above of oil palm age tress. However, the previous developed machines cannot be accepted in the current and widely practiced Industrial revolution 4.0 (IR4.0). Mechanization approach makes harvesting tall oil palm a reality to overcome the problem that normally occur in oil palm sector due to height of oil palm.

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