scholarly journals Effect of Charging Parameter on Fruit Battery-Based Oil Palm Maturity Sensor

Micromachines ◽  
2020 ◽  
Vol 11 (9) ◽  
pp. 806
Author(s):  
Norhisam Misron ◽  
Nisa Syakirah Kamal Azhar ◽  
Mohd Nizar Hamidon ◽  
Ishak Aris ◽  
Kunihisa Tashiro ◽  
...  

Oil palm is one of the key industries highly observed in Malaysia, due to its high demand both whether locally or internationally. The oil extraction rate (OER) in palm oil production is used as an element to identify the performance of the mills, estates and producers. In view of this, there are specific instrument or sensor needs to be implemented at the mills especially during the reception of fresh fruit bunches (FFB) transported from the field for oil content processing. This paper aims to study and propose the use of a fruit battery-based oil palm maturity sensor to analyse the effect of the sensor to various parameters. The study utilizes a charging method with different parameters, including a moisture content test on the palm oil samples. Three types of parameters are tested along with the different grades of oil palm fruit from different bunches, such as the load resistance, charging voltage and charging time. The repeatability data of the samples are obtained with the used list of values in each parameter. The results show that the parameters tested for the unripe, under ripe and ripe samples can affect the sensor sensitivity.

Konversi ◽  
2021 ◽  
Vol 10 (1) ◽  
Author(s):  
An Nisa Fitria ◽  
Vandhie Satyawira Gunawan ◽  
Mardiah Mardiah

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  


2020 ◽  
Vol 30 (3) ◽  
pp. 317-327
Author(s):  
MM Zannat ◽  
R Nandi ◽  
M Ashik-E-Rabbani ◽  
MA Awal

Performance of a motor operated oil palm crusher was tested at the Department of Farm Power and Machinery, Bangladesh Agricultural University, Mymensingh. The crusher is powered by a three- phase 7.5hp electric motor. Crushing efficiency and crushing capacity are some of the most important parameters for evaluating the crushing performance. This study provides some information on the composition of crude palm oil, palm oil extraction methods, the crushing efficiency, etc. The crusher has an average oil extraction efficiency of 72.84 %. This was obtained from 2.5kg of palm fruit at the steaming time of 2min. The average crushing capacity of the crusher was 12.72 kg/hr. The average crude palm oil percentage in fruit was 19.67%. On an average 200 gm of crude palm oil was extracted from 1 kg of fruit. The average oil cake percentage in palm fruit was 62.2% and the average sediment percentage was 14.04%.  Manually, the crushing capacity was 0.84 kg/hr, crude palm oil percentage was 22.14%, oil cake percentage was 44.28%. The break-even point of the crusher was 700 hr. It means that if the crusher is used for more than 700 hr, it will be economically suitable compared to manual crusher. The quality parameters evaluated were Free fatty acid, Iodine value, Peroxide value and Saponification value. Free fatty acid was 1.33%; Iodine value was 50; Peroxide value was 2meq/kg; and Saponification value was 120. Overall performance of the machine was satisfactory compared to manually operated crusher. Progressive Agriculture 30 (3): 317-327, 2019


2021 ◽  
pp. 91-98
Author(s):  
Fitrah Murgianto ◽  
Edyson Edyson ◽  
Adhy Ardiyanto ◽  
Shadiar Kesuma Putra ◽  
Lilik Prabowo

Harvesting fresh fruit bunches (FFB) is an important activity in the oil palm plantation industry. This study aimed to analyze the potential content of palm oil at the level of loose fruit that falls on the oil palm circle. Observations were made on five fresh fruit bunches with criteria 1, 3, and 5 respectively loose fruit per bunch that falls on the oil palm circle from oil palm trees that were 22, 16, 12, and 7 years old. All sample fresh fruit bunches were analyzed for potential oil to bunch and oil to wet mesocarp in the analytical laboratory of Bumitama Gunajaya Agro. Content of oil to wet mesocarp in loose fruit 1, 3, and 5 were 48,50 % b, 51,98 % a, and 53,21 % a respectively. While the content of oil to bunch in loose fruit 1, 3, and 5 were 24,19 % a, 25,52 % a, and 25,71 % a respectively. The highest potential for oil content occurs in ripe palm fruit with a level of loose fruit 5 grains per bunch that falls on that oil palm circle. Five grains per bunch on the oil palm circle can be used as an indicator for harvesters to harvest ripe fruit with optimal oil content.   


Author(s):  
Rui Alberto Gomes Junior ◽  
Alessandra Ferraiolo de Freitas ◽  
Raimundo Nonato Vieira da Cunha ◽  
Antônio José de Abreu Pina ◽  
Higo Otávio Brochado Campos ◽  
...  

Abstract The objective of this work was to estimate the genetic parameters, correlations, and selection gains for the oil production of interspecific hybrids progenies between American oil palm, of ‘Manicoré’ origin, and oil palm, of ‘La Mé’ origin. Thirty-nine progenies were evaluated from the sixth to the ninth year after planting, for the productivity of fresh fruit bunches (PROD_FFB), oil content in the bunch (OCB), and palm oil productivity (PROD_OP). The genetic parameters and gains from direct (GDS) and indirect (GIS) selection were estimated for PROD_OP. High values of heritability for the CVg/CVe ratio indicated favorable conditions for the selection. With the selection of 20% of the progenies (selection in both sexes), the following estimates were obtained: 11.15% GDS for PROD_OP, 9.1% GIS for OCB, and 8.1% GIS for PROD_FFB. The PROD_OP of the progenies was of 6,175, 6,057, and 5,995 kg ha-1 per year with GDS and GIS for OCB and PROD_FFB, respectively. The restricted selection of the LM2T male genitor offspring resulted in 5.1% estimated GSD and in a mean of 5,800 kg ha-1 per year for PROD_OP. Selection gains for PROD_OP can be achieved immediately through the selection restricted to oil palm male genitors, and, in the medium and long term, through the interspecific reciprocal recurrent selection between American oil palm and oil palm populations.


2018 ◽  
Vol 15 (1) ◽  
pp. 36
Author(s):  
Minarni Minarni ◽  
Roni Salumbae ◽  
Zilhan Hasbi

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.


2021 ◽  
Author(s):  
Joris Herz ◽  
Ana Meijide ◽  
Christian Stiegler ◽  
Bunyod Holmatov ◽  
Alexander Knohl ◽  
...  

<p>The global population growth and changes in human lifestyle and consumption patterns put immense pressure on the limited freshwater resources in the world. Aiming at sustainable use and equitable allocation of the water resources, it becomes crucial to know the water appropriation for the production of different commodities and consumer goods. These days, oil palm (<em>Elaeis guineensis</em>) is one of the highest-demanded crops around the globe since the oil of its fruits and kernel is widely used as biofuel and major ingredients in food and cosmetic industries. Given this massive demand, the areas under oil palm cultivation in the tropics have continuously been expanding in the last decades, particularly in Indonesia. With the oil palm boom, not only biodiversity loss, and carbon dioxide emissions from deforestation have been increasing, but also the consumptions of blue and green water resources are of concern. </p><p>In this ongoing research, the concept of water footprint (WF) is employed to quantify the green and blue water use of oil palm production in the Bajubang district, Batanghari regency, Jambi province, Sumatra, Indonesia. This is one of the first studies that uses field-measured data of evapotranspiration (ET) from oil palm plantations in different growth stages over seven years for the purpose of WF assessment, compared to the available literature where ET was estimated using modelling approaches. The multi-year measurements were conducted using the eddy covariance technique, which continuously measures water vapor (H<sub>2</sub>O) fluxes at the ecosystem level over the plantation. Based on these measurements, specifically, the WF assessment is performed on a product basis during the plantation life cycle, per area and time unit, for the oil palm fruit yield and oil palm derived products (palm oil, palm-oil biodiesel). Besides the crop water consumption at the plantation (i.e. ET) as the core element, other water consumptions in the products’ processing chain are included in the WF assessment. Preliminary results indicate a WF of 2440 m<sup>3</sup> t<sup>-1</sup> for palm oil and 65 m<sup>3</sup> GJ<sup>-1</sup> for palm-oil biodiesel. This is about 50% lower than the global average estimates. Local WF account of oil palm products has a critical contribution to product transparency while being useful for comparative purposes. Contrasting the WFs of products serving the same function (e.g., palm oil biodiesel, soybean biodiesel) is of essential importance, aiming at conscious product choices in a world of freshwater scarcity.</p><p>Keywords: water footprint, oil palm, palm oil, Indonesia, eddy covariance, evapotranspiration</p>


Konversi ◽  
2018 ◽  
Vol 6 (2) ◽  
pp. 9
Author(s):  
Ramli Ramli ◽  
Marlinda Marlinda

Abstract- East Kalimantan, especially Kutai regency produces 1,112,442 tons/year of palm oil. Oil palm empty fruit bunches (EFB) are one of the wastes generated in the processing of palm oil that is equal to 20-23% of the fresh fruit bunches, so the amount of EFB that can be generated is 244,737.24 tons/year. The purpose of this study is to determine the effect of palm sugar as a nutrient to nutrient nitrogen EM4, phosphor and potassium in composting EFB. This research was conducted by varying the mass of Palm Sugar: 0.4000 g, 0.6000 g, 0.8000 g, 1.0000 g and 1.2000 g. The main composting process that was carried out by adding EM4 solution of 10 mL and 100 mL sugar solution into 200 grams EFB, letting it stand for 30 days, and after that the analysis was conducted. The total content of nutrients is highest on the mass of 1.2000 g palm sugar that is 3.174%. The conclusion of this study is the greater the mass of Palm Sugar is added, the greater the concentration of nutrients found in the composting by using bacterial EM4. Keywords: bio-activator EM4, palm Sugar, EFB.


2015 ◽  
Vol 786 ◽  
pp. 393-397
Author(s):  
Roejhan Md Kawi ◽  
Z.B. Razali ◽  
Muhammad Naufal Mansor ◽  
C.D.M. Asyraf

Farm workers in the Oil Palm industry in Malaysia are extremely exposed to the risk of musculoskeletal disorders (MSDs) which is directly affected to the production outputs. This paper is to discuss the way to reduce the MSDs biomechanical load by using a new design of ergonomic palm oil fruit harvesting device. According to the observation, manual harvesting process by using conventional device or device was highly risk to undergo MSDs due to repetitive awkward posture. Thus, new device is proposed for reducing the effect of MSDs. Electromyography (EMG) evaluation was conducted to determine the reliability and the efficiency of the proposed method to reduce the risk of MSDs. Results of EMG show that the using of the proposed device provides less pain compare to the conventional device.


2011 ◽  
Vol 367 ◽  
pp. 739-743
Author(s):  
C.O. Ilechie ◽  
A.O. Akii Ibhadode ◽  
B.O. Abikoye

The oil palm (elaeis guneensis) is a very important economic crop in West Africa where it is native. The fruit bunch contains 23 to 30% oil and is the highest yielding of all vegetable oil crops. Palm oil is the second most important vegetable oil in world consumption and the first to be commercialized internationally. Africa and indeed Nigerian was the world’s highest producer of palm oil prior to 1961. Today, Nigeria is the fourth largest producer after Indonesia, Malaysia and Thailand. One of the main reasons given for this fall is lack of efficient mechanized processing equipment for the small-scale producers who produce over 80% of the country’s palm oil. Their methods of production are labour intensive, batch, tedious, inefficient, and produce poor quality oil, have low throughput, unable to extract palm kernel alongside palm oil and so productivity is low and products (palm oil and palm kernel) lack competitiveness. This work has developed a mechanized oil palm fruit processing mill with six fully integrated systems for extracting good quality palm oil and palm kernel, while utilizing process wastes as the main source of heat energy. Each system/unit is expected to operate at the best quoted system efficiency. Tests are ongoing to determine and confirm these efficiencies.


2017 ◽  
Vol 54 (6) ◽  
pp. 915-930
Author(s):  
SIRILUK SOMNUEK ◽  
MAJA SLINGERLAND

SUMMARYThe government of Thailand aims for sustainability of palm oil production in the Northeast for bioenergy and farmers’ income. This study investigated whether producers in Northeast Thailand managed their oil palm according to good agricultural practices (GAP) and if not, what effects this has on yield. A survey was conducted amongst 108 randomly selected farmers. For 25 selected plots, management and yields were monitored twice a month for two full years. Compliance to GAP was high for weeding, harvesting, pruning and pest and disease control but not for irrigation (40%) and fertiliser application (20–40%). GAP adoption scores per households positively correlated with income from other crops, tree age and degree of training. We showed that rainfall was insufficient for good oil palm growth between October and April. In the monitored group, use of irrigation and amounts of N, P, K and Mg applied were strongly correlated. The yield was significantly greater with irrigation and fertiliser, reaching similar levels as in the South of Thailand (up to 25–30 Mg Fresh Fruit Bunches: FFB ha−1), but did not differ with soil texture. This allows us to conclude that better application of GAP, especially including a combination of irrigation and fertilisers overcame the unsuitable soil and rainfall conditions in the Northeast of Thailand. However, the costs of fertilisers compared to the price of FFB affected the profitability of FFB production, which may affect farmers’ motivation to apply GAP, especially on unsuitable soils. When the government aims for sustainable palm oil production in the Northeast it needs to invest in frequent technical support, irrigation infrastructure and affordable fertilisers. Otherwise, farmers may not apply GAP because of low returns on investments and yields will remain very modest.


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