scholarly journals The Optimal Felling Rate in the Palm Oil Plantation System

MATEMATIKA ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 95-104
Author(s):  
Mohd Ismail Abd Aziz ◽  
Noryanti Nasir ◽  
Akbar Banitalebi
Keyword(s):  
Optimal Control ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Real Data ◽  
Palm Trees ◽  
Environmental Friendly ◽  
Proposed Model ◽  
Carbon Absorption ◽  
Plantation System

Successful palm oil plantation should have high returns profit, clean and environmental friendly. Since oil palm trees have a long life and it takes years to be fully grown, controlling the felling rate of the palm oil trees is a fundamental challenge. It needs to be addressed in order to maximize oil production. However, a good arrangement of the felling palm oil trees may still affect the amount of carbon absorption. The objective of this study is to develop an optimal felling model of the palm oil plantation system taking into account both oil production and carbon absorption. The model facilitates in providing the optimal control of felling rate that results in maximizing both oil production and carbon absorption. With this aim, the model is formulated considering palm oil biomass, carbon absorption rate, oil production rate and the average prices of carbon and oil palm. A set of real data is used to estimate the parameters of the model and numerical simulation is conducted to highlight the application of the proposed model. The resulting parameter estimation is solved that leads to an optimal control of felling rate problem.

LINEAR OPTIMAL CONTROL MODEL FOR FELLING THE OIL PALM TREES

2017 ◽  
Vol 79 (4) ◽  
Author(s):  
Noryanti Nasir ◽  
Mohd Ismail Abd Aziz ◽  
Akbar Banitalebi
Keyword(s):  
Optimal Control ◽  
Palm Oil ◽  
Oil Palm ◽  
Minimum Cost ◽  
Real Data ◽  
Control Model ◽  
Optimal Feedback Control ◽  
State Variables ◽  
Linear Quadratic ◽  
Linear Quadratic Optimal Control

The increases of operational felling cost have prompted the oil palm industry to look at the current practices. The felling activity is considered as the main aspects to improve and maintain palm oil production through the provision of effective and agronomic practices. To support this success and achieve minimum cost of operation, this study aims to develop a time-invariant linear quadratic optimal control model for controlling the felling and harvest rate of the oil palm plantation. The proposed model involves two state variables which are biomass and crude oil. The optimal parameters for the model are estimated using a set of real data collected from Malaysian Palm Oil Board (MPOB). The study analyzes the solution of the resulting control problem within a limited time frame of 30 years and the results provide an optimal feedback control for the felling and harvest rates.

Sistem Pakar Mendeteksi Penyakit Tanaman Kelapa Sawit Menggunakan Metode Forward Chaining

2019 ◽  
Vol 1 ◽  
pp. 444
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra
Keyword(s):  
Expert System ◽  
Programming Languages ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Plant Diseases ◽  
Accurate Information ◽  
Forward Chaining ◽  
Web Programming ◽  
Level Of Confidence

The purpose of this paper is to create an expert system to detect oil palm plant diseases in order to help farmers / companies in providing accurate information about the diseases of oil palm plants and how to overcome them and to help reduce the risk of decreasing palm oil production. This system is designed to mimic the expertise of an expert who is able to detect diseases that attack oil palm plants. The method used is forward chaining that is starting from a set of data and proving a fact by describing the level of confidence and uncertainty found in a hypothesis. The results of this study are to diagnose diseases of oil palm plants and their computerization using web programming languages.

scholarly journals Oil palm land conversion in Pará, Brazil, from 2006–2014: evaluating the 2010 Brazilian Sustainable Palm Oil Production Program

2018 ◽  
Vol 13 (3) ◽  
pp. 034037 ◽  
Author(s):  
E Benami ◽  
L M Curran ◽  
M Cochrane ◽  
A Venturieri ◽  
R Franco ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Land Conversion ◽  
Production Program

scholarly journals Selection gains for the palm oil production from progenies of American oil palm with oil palm

2021 ◽  
Vol 56 ◽  
Author(s):  
Rui Alberto Gomes Junior ◽  
Alessandra Ferraiolo de Freitas ◽  
Raimundo Nonato Vieira da Cunha ◽  
Antônio José de Abreu Pina ◽  
Higo Otávio Brochado Campos ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Genetic Parameters ◽  
Recurrent Selection ◽  
Oil Production ◽  
Reciprocal Recurrent Selection ◽  
Fresh Fruit Bunches ◽  
Favorable Conditions ◽  
Selection Of

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.

scholarly journals A Review of Southeast Asian Oil Palm and Its CO2 Fluxes

2020 ◽  
Vol 12 (12) ◽  
pp. 5077 ◽  
Author(s):  
Royston Uning ◽  
Mohd Talib Latif ◽  
Murnira Othman ◽  
Liew Juneng ◽  
Norfazrin Mohd Hanif ◽  
...  
Keyword(s):  
Co2 Emissions ◽  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Southeast Asian ◽  
Co2 Fluxes ◽  
Asian Countries ◽  
Peat Swamp ◽  
Oil Palm Industry ◽  
Southeast Asian Countries

Palm oil production is a key industry in tropical regions, driven by the demand for affordable vegetable oil. Palm oil production has been increasing by 9% every year, mostly due to expanding biofuel markets. However, the oil palm industry has been associated with key environmental issues, such as deforestation, peatland exploitation and biomass burning that release carbon dioxide (CO2) into the atmosphere, leading to climate change. This review therefore aims to discuss the characteristics of oil palm plantations and their impacts, especially CO2 emissions in the Southeast Asian region. The tropical climate and soil in Southeast Asian countries, such as Malaysia and Indonesia, are very suitable for growing oil palm trees. However, due to the scarcity of available plantation areas deforestation occurs, especially in peat swamp areas. Total carbon losses from both biomass and peat due to the conversion of tropical virgin peat swamp forest into oil palm plantations are estimated to be around 427.2 ± 90.7 t C ha−1 and 17.1 ± 3.6 t C ha−1 year−1, respectively. Even though measured CO2 fluxes have shown that overall, oil palm plantation CO2 emissions are about one to two times higher than other major crops, the ability of oil palms to absorb CO2 (a net of 64 tons of CO2 per hectare each year) and produce around 18 tons of oxygen per hectare per year is one of the main advantages of this crop. Since the oil palm industry plays a crucial role in the socio-economic development of Southeast Asian countries, sustainable and environmentally friendly practices would provide economic benefits while minimizing environmental impacts. A comprehensive review of all existing oil plantation procedures is needed to ensure that this high yielding crop has highly competitive environmental benefits.

CAN GOOD AGRICULTURAL PRACTICES SUSTAIN OIL PALM YIELDS FOR BIOENERGY PRODUCTION IN NORTHEAST THAILAND?

2017 ◽  
Vol 54 (6) ◽  
pp. 915-930
Author(s):  
SIRILUK SOMNUEK ◽  
MAJA SLINGERLAND
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Agricultural Practices ◽  
Oil Production ◽  
Tree Age ◽  
Northeast Thailand ◽  
Good Agricultural Practices ◽  
The Government ◽  
Fresh Fruit Bunches ◽  
Fertiliser Application

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.

scholarly journals Assessment of The Biomass Potential Recovered from Oil Palm Plantation and Crude Palm Oil Production in Indonesia

2014 ◽  
Vol 42 (3) ◽  
pp. 231-243 ◽  
Author(s):  
Byoung-Jun Ahn ◽  
Gyu-Seoung Han ◽  
Don-Ha Choi ◽  
Sung-Taig Cho ◽  
Soo-Min Lee
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Oil Production ◽  
Crude Palm Oil ◽  
Oil Palm Plantation ◽  
Biomass Potential

scholarly journals THE CHALLENGES FACING PALM OIL INDUSTRY IN NIGERIA

2021 ◽  
Vol 4 (1) ◽  
pp. 26-33
Author(s):  
Sani Shehu ◽  
Mohd Afandi Salleh ◽  
Edy Fitriawan Syahadat
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Raw Materials ◽  
Palm Kernel ◽  
Oil Production ◽  
Private Investment ◽  
Oil Industry ◽  
Structured Interview ◽  
Public And Private ◽  
The Government

The oil palm plantation can be found throughout West Africa and palm oil has contributed significantly towards the Nigerian exports. However, the palm oil industry in Nigeria was declining to 36.4% in 1969 and 13.2% in 1974 in spite of being the largest global exporting country at the beginning of 20th Century. Since then, domestic consumption has increased, slow growth in palm oil production and low output was delivered. The equipment of production is considered obsolete, the plantations are aging, the technology access is very little, and financing is insufficient. This indicated a threat and inefficiency of Nigerian palm oil industries to cater for the needs of people regardless of the increase in oil demand locally as the  palm kernel oil is becoming important food and raw materials. Due to this problem, Nigeria remained to receive palm oil from Malaysia even though the seedlings was originated from Nigeria. Other large importers include from Benin, Ghana, Ivory Coast and Togo. This issue has caused Palm oil production in Nigeria to be more expensive and not competitive if compared to other countries like Malaysia and Indonesia. Hence, the objective of this paper explores the challenges facing palm oil industry in Nigeria using qualitative data through document and thematic analysis. The semi-structured interview was analysed by utilizing Atlas ti 8 software. The findings of the paper shows that there are challenges facing palm oil industry in Nigeria such as lack of good planting materials, poor funding, improper milling and lack of technology. From this, it is confirmed that there are numerous challenges facing palm oil industry in Nigeria which requires aids from the government from allocation of huge amount of its budget to agriculture and establish better policies for the palm oil industry that will attract more public and private investment. Keywords: Oil Palm, Palm Oil, Palm Oil industry in Nigeria, Challenges  

scholarly journals Penanganan dan Pemanfaatan Limbah Biomassa Sawit Ramah Lingkungan di PT Semen Baturaja

2020 ◽  
Vol 6 (4) ◽  
Author(s):  
Denny Irawati ◽  
Ganis Lukmandaru ◽  
Joko Sulistyo ◽  
Sigit Sunarta ◽  
Tomy Listyanto ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Housing Construction ◽  
Biomass Waste ◽  
Palm Trees ◽  
Service Activity ◽  
The Cost ◽  
The Impact ◽  
Palm Leaf ◽  
Potential Profit

In order to meet the land requirements for housing construction of its employees, PT Semen Baturaja Tbk. (PTSB) opens approximately 27 ha of land which is estimated to have approximately 2700 less productive oil palm trees. The opening of the land will produce substantial palm biomass. One of the efforts to utilize palm oil biomass waste is by processing it into compost. Compost can be used for rehabilitation of ex-mine land by PTSB. So far, PTSB has no experience in the field of composting, therefore PTSB in collaboration with the Faculty of Forestry, Gadjah Mada University produces compost from waste palm oil biomass. The method used in this service activity is socialization, participatory composting, and mentoring in the field. The output of this activity is in the form of palm biomass compost and knowledge about the technology of the composting process for PTSB. The amount of compost that can be obtained from 8 oil palm leaf mounds is 248.9 tons while that of the oil palm stem is 1,236.6 tons. Compost fertilizer after composting for 2 months has a C/N ratio of 13.7. The cost for composting is Rp. 591,405,000, with a potential profit of Rp. 6,093,232,500, -. The impact of knowledge on composting is saving on spending on PTSB to buy fertilizer for land rehabilitation and handling the problem of biomass waste.

scholarly journals PENERAPAN BACKPROPAGATION DALAM MEMPREDIKSI PRODUKSI KELAPA SAWIT UNIT KEBUN MARJANDI

2019 ◽  
Vol 3 (1) ◽  
Author(s):  
Azlan Zulhamsyah ◽  
Saifullah Saifullah ◽  
Muhammad Ridwan Lubis
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Agricultural Sector ◽  
Oil Production ◽  
Backpropagation Method ◽  
Hidden Layer ◽  
Important Position ◽  
The Many ◽  
Plantation Crops ◽  
Performance Calculation

Oil palm plantations are one of the types of plantation crops that occupy an important position in the agricultural sector in general, and the plantation sector in particular ". This is because of the many plants that produce oil or fat. Production is obtained through a process that is quite long and full of risk. Here the author applies a Backpropagation method in which the method is part of supervised learning that is usually used for layers to determine the weights associated with neurons in the hidden layer. Which Backpropagation method will be virtualized into matlap program and will produce valid calculations. From the results of testing the Palm Oil Planting Year Production Report obtained in the 3-8-8-1 architecture which shows the target is reduced by the output jst that SSE 0.02976 which shows that there is an increase in the number of palm oil production as a target. From the data obtained, that the performance calculation of artificial neural networks with Backpropagation Algorithm is 67%.Keywords: Backpropagation, Oil Palm Plantations, Palm Oil Production, The Marjandi Garden Unit

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