Appendix 2. Palm Oil Production (Pɔ Akɔ Dialect, Akwaja Village)

2015 ◽  
pp. 496-500
Keyword(s):  
Palm Oil ◽  
Author(s):  
Dimas Satria ◽  
Poningsih Poningsih ◽  
Widodo Saputra

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.


2017 ◽  
Vol 10 (1) ◽  
pp. 24
Author(s):  
Nurliza Nurliza ◽  
Eva Dolorosa

Palm oil is currently the most widely used vegetable oil in the world and its usage is also expected to double by 2020. However, there are some social and environmental impacts of palm oil plantation. Some complications resulted from the plantation may go as far as mass objections to the production of palm oil. On the contrary, demand for palm oil is still vast and constantly rising. In Indonesia, independent small farmers are the most important stakeholders since they are 43% of the whole Indonesian palm oil producers and have become the biggest spotlight of Indonesian palm oil development, including challenges and problems in which they will have to face to substantially increase their role in the global market as well as maintaining sustainability. Challenges today need to be engaged with innovation and inventions in a more productive and effective way. Enhancing independent small farmers will not only enlarge their contribution to sustainability practices, but also ensuring the sustainable products supplied to the market. Thus, supporting sustainable palm oil production is the way forward. Based on this current issue, this research identifies key point relationships (direct and indirect) on sustainable development factors which are based on Indonesian Sustainable Palm Oil Certification System (ISPO), these identified key points will be the primary target to be improved and government support in fostering the sustainability of palm oil industry will be profoundly necessary.


2018 ◽  
Vol 13 (3) ◽  
pp. 034037 ◽  
Author(s):  
E Benami ◽  
L M Curran ◽  
M Cochrane ◽  
A Venturieri ◽  
R Franco ◽  
...  

2017 ◽  
Vol 97 ◽  
pp. 01122 ◽  
Author(s):  
Herda Sabriyah Dara Kospa ◽  
Kris R.D. Lulofs ◽  
Chay Asdak ◽  
Supli E. Rahim

2019 ◽  
Vol 17 ◽  
pp. 161-175 ◽  
Author(s):  
Mohan Munasinghe ◽  
Priyangi Jayasinghe ◽  
Yvani Deraniyagala ◽  
Valente José Matlaba ◽  
Jorge Filipe dos Santos ◽  
...  

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.


MATEMATIKA ◽  
2019 ◽  
Vol 35 (1) ◽  
pp. 95-104
Author(s):  
Mohd Ismail Abd Aziz ◽  
Noryanti Nasir ◽  
Akbar Banitalebi

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.


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