Ripeness Detection of Oil Palm Fresh Fruit Bunches Using 4-Band Sensors

2013 ◽  
Vol 19 (12) ◽  
pp. 3468-3472 ◽  
Author(s):  
Osama Mohamed Ben Saeed ◽  
Abdul Rashid Mohamed Shariff ◽  
Ahmad Rodzi B. Mahmud ◽  
Helmi Zulhaidi Mohd Shafri ◽  
Meftah Salem Alfatni ◽  
...  
Keyword(s):  
Oil Palm ◽  
Fresh Fruit ◽  
Fresh Fruit Bunches

ANALISIS TATANIAGA TANDAN BUAH SEGAR KELAPA SAWIT DI DESA TEMPAKAN KECAMATAN BATU ENGAU KABUPATEN PASER (Marketing Analysis of Fresh Fruit Bunches of Oil Palm in Tempakan Village, Batu Engau Subregency, Paser Regency)

2019 ◽  
Vol 2 (2) ◽  
pp. 113
Author(s):  
SIMON SUTRADO SIMANJUNTAK ◽  
ACHMAD ZAINI
Keyword(s):  
Oil Palm ◽  
Sampling Method ◽  
Marketing Channel ◽  
Marketing Channels ◽  
Fresh Fruit ◽  
Snowball Sampling ◽  
Level Zero ◽  
Average Share ◽  
Marketing Analysis ◽  
Fresh Fruit Bunches

The purposes of this study were to know marketing channel, marketing margin, share, and marketing profit of fresh fruit bunches of oil palm in Tempakan Village, Batu Engau Subregency, Paser Regency. The study was conducted from June to August 2016. The sampling method was done with two ways as random sampling in farmer level and in marketing channel as snowball sampling. Data analysis were done by calculating marketing margin, share, and marketing profit. The results of this study showed that there are two marketing channels in reserach location are channel of level zero and channel of level one. Marketing margin in farmer level was Rp40.39 kg-1 and margin in whole trader level was Rp314.44 kg-1. The average share of farmer level was 97.58% and in trader level was 81.48%. Margin and share that profitable for farmer is at channel of level zero. The average of profit in whole trader level of fresh fruit bunches was 112.75%, that meant marketing by whole trader is profitable.

scholarly journals Tauke and Emotional Network Model in Oil Palm Marketing: Getting Fresh Fruit from Smallholders in Indonesia

2020 ◽  
Vol 55 (4) ◽  
Author(s):  
Rizabuana Ismail ◽  
Slamet Haryono ◽  
Ira Maya Sofa Harahap ◽  
Ria Manurung
Keyword(s):  
Oil Palm ◽  
Marketing Channel ◽  
Marketing Channels ◽  
Fresh Fruit ◽  
Network Marketing ◽  
Marketing Model ◽  
Marketing Models ◽  
Cash Payment ◽  
Fresh Fruit Bunches ◽  
Depth Interviews

This article describes how fresh fruit bunches grown by oil palm smallholders are incorporated into oil palm marketing models in Indonesia. This emotional network marketing model is a supplementary model of marketing models in Malaysia which is called factory centered and middleman model. This research uses a descriptive qualitative method. The data was collected by conducted in-depth interviews with 28 informants coming from 4 (four) categories of oil palm smallholders: oil palm tauke (middleman) that included big tauke and small tauke, workers in the loading ramps, and workers in the oil palm factories who were involved in oil palm marketing channels. The result of the research showed that the oil palm marketing channel between smallholders and either small tauke and big tauke was based on an emotional network with a strong bond of friendship, brotherhood, dwelling location, cash payment, giving loan with reasonable requirements, and providing transportation for fresh fruit bunches. In contrast, oil palm marketing channel among smallholders, loading ramp buyers, and POF was based on regulations. This writing presented a different perspective of oil palm marketing channels in general by involving the emotional network of the existing actors for getting fresh fruit bunches and the advantages of oil palm marketing. In this marketing model, there is a longer marketing channel and actors with their varied roles.

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.

Towards improving oil palm fresh fruit bunches yield in Malaysia: a system dynamics approach

2018 ◽  
Vol 13 (2) ◽  
pp. 167
Author(s):  
M. Faeid M. Zabid ◽  
Shri Dewi Applanaidu ◽  
Norhaslinda Zainal Abidin
Keyword(s):  
System Dynamics ◽  
Oil Palm ◽  
Fresh Fruit ◽  
Fresh Fruit Bunches

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 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 PENGARUH KONSENTRASI GIBERELIN (GA3) DENGAN WAKTU APLIKASI SEBELUM PANEN TERHADAP MUTU FISIK TANDAN BUAH SEGAR KELAPA SAWIT (Elaeis guineensis Jacq.)

2019 ◽  
Vol 1 (2) ◽  
pp. 62-70
Author(s):  
Sri Murti Tarigan ◽  
Eka Bobby Febrianto ◽  
Lufy Andria Cik
Keyword(s):  
Oil Palm ◽  
Elaeis Guineensis ◽  
Design Method ◽  
Block Design ◽  
Fruit Weight ◽  
Fresh Fruit ◽  
Physical Damage ◽  
Physical Quality ◽  
Fresh Fruit Bunches

Physical damage to fruit on oil palm fresh fruit bunches due to harvest and postharvest activities include injured fruit mesocarp, fruit weight loss, and loss in fruit bunches. One of the postharvest handlings that can maintain the physical quality of the fruit is by giving gibberellins (GA3). This research aims to determine the effect of the concentration of gibberellins (GA3) whit application time before harvest on the physical quality of postharvest oil palm fresh fruit bunches. The research was conducted at Afdeling VI Garden Cot Girek PT. Perkebunan Nusantara I and in the Cot Girek Palm Oil Factory laboratory. The time of the research was conducted in June until July 2019. The study used a non factorial randomized block design method with 4 treatment levels (0 mg/l, 50 mg/l, 100 mg/l, and 150 mg/l) with 3 replications. The administration of gibberellins has a significant effect on fruit loss and fruit weight reduction with the best concentration of gibberellins is 50 ppm but does not have a significant effect on pH, moisture content, and fruit free fatty acids.

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  

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