scholarly journals Investigation of Ergonomics Risk Factors for Musculoskeletal Disorders among Oil Palm Workers Using Quick Exposure Check (QEC)

2013 ◽  
Vol 10 ◽  
pp. 103-109 ◽  
Author(s):  
Ezrin Hani Sukadarin ◽  
Baba Md Deros ◽  
Jaharah Abd Ghani ◽  
Ahmad Rasdan Ismail ◽  
Maznon M. Mokhtar ◽  
...  
Keyword(s):  
Risk Factors ◽  
Oil Palm ◽  
Daily Activities ◽  
Fresh Fruit Bunch ◽  
Actual Load ◽  
Risks Factors ◽  
Palm Fruits ◽  
Postural Analysis ◽  
Crude Analysis ◽  
Pushing And Pulling

Oil palm workers perform daily activities that exposed themselves to various ergonomics risk factors. To harvest oil palm fruits from tall trees, specific technique is required. To quantify the ergonomics risks factors, postural analysis was conducted using Quick Exposure Check (QEC) system. It was found oil palm workers were exposed to many postural problems while performing harvesting and collecting fresh fruit bunch (FFB) activities. However, to quantify the actual load, many limitations of the QEC have been revealed such the missing of legs assessment, the crude analysis for arm and shoulder, no pushing and pulling assessment and the biased may be existed due to the workers perception on the ergonomics factors. Thus, it can be concluded that QEC system was not suitable for conducting postural analysis during harvesting in oil palm plantation especially in tall trees due to the above limitations.

scholarly journals Triple Flat-Type Inductive-Based Oil Palm Fruit Maturity Sensor

Sensors ◽  
2018 ◽  
Vol 18 (8) ◽  
pp. 2496 ◽  
Author(s):  
Nor Aliteh ◽  
Norhisam Misron ◽  
Ishak Aris ◽  
Roslina Mohd Sidek ◽  
Kunihisa Tashiro ◽  
...  
Keyword(s):  
Resonance Frequency ◽  
Oil Palm ◽  
Fixed Number ◽  
Fresh Fruit Bunch ◽  
Palm Fruit ◽  
Flat Type ◽  
Fruit Maturity ◽  
The Mean ◽  
Palm Fruits ◽  
And Shifts

This paper aims to study a triple flat-type air coil inductive sensor that can identify two maturity stages of oil palm fruits, ripe and unripe, based on the resonance frequency and fruitlet capacitance changes. There are two types of triple structure that have been tested, namely Triple I and II. Triple I is a triple series coil with a fixed number of turns (n = 200) with different length, and Triple II is a coil with fixed length (l = 5 mm) and a different number of turns. The peak comparison between Triple I and II is using the coefficient of variation cv, which is defined as the ratio of the standard deviation to the mean to express the precision and repeatability of data. As the fruit ripens, the resonance frequency peaks from an inductance–frequency curve and shifts closer to the peak curve of the air, and the fruitlet capacitance decreases. The coefficient of the variation of the inductive oil palm fruit sensor shows that Triple I is smaller and more consistent in comparison with Triple II, for both resonance frequency and fruitlet capacitance. The development of this sensor proves the capability of an inductive element such as a coil, to be used as a sensor so as to determine the ripeness of the oil palm fresh fruit bunch sample.

Distribution map of oil palm fresh fruit bunch using LiDAR*

2021 ◽  
Author(s):  
Husna Sarirah Husin ◽  
Nurnasuha Amar ◽  
Aznida Abu Bakar Sajak ◽  
Mohd Sallehin Mohd Kassim
Keyword(s):  
Oil Palm ◽  
Fresh Fruit ◽  
Distribution Map ◽  
Fresh Fruit Bunch

scholarly journals Risk factors of musculoskeletal disorders among oil palm fruit harvesters during early harvesting stage

2015 ◽  
Vol 22 (2) ◽  
pp. 286-292 ◽  
Author(s):  
Yee Guan Ng ◽  
Shamsul Bahri Mohd Tamrin ◽  
Irwan Syah Mohd Yusoff ◽  
Zailina Hashim ◽  
Baba MD Deros ◽  
...  
Keyword(s):  
Risk Factors ◽  
Musculoskeletal Disorders ◽  
Oil Palm ◽  
Palm Fruit ◽  
Harvesting Stage

scholarly journals Impact of Weather Factors on Coelaenomenodera elaiedis MLK (Coleoptera: Chrysomelidae) in Nigeria

2020 ◽  
pp. 115-128
Author(s):  
Aneni T. I. ◽  
Adaigbe V. C. ◽  
Ogbebor C. O. ◽  
Okere C. I. ◽  
Aghayedo C. O.
Keyword(s):  
Relative Humidity ◽  
Oil Palm ◽  
Insect Pests ◽  
Leaf Miner ◽  
Weather Factors ◽  
Fresh Fruit Bunch ◽  
Major Pest ◽  
Model Equations ◽  
Main Station ◽  
Mathematical Relationships

The leaf miner (Coelaenomenodera elaeidis) is a major pest of the oil palm. It breaks out in epidemic proportions periodically, resulting in severe leaf defoliation and consequently low fresh fruit bunch (FFA) yield. This study analyses temperature, rainfall, relative humidity, and leaf miner abundance records sampled in oil palm fields between 1976 and 1980 in the main station of the Nigerian Institute for Oil Palm Research (NIFOR). Data for temperature, rainfall, and relative humidity were obtained from NIFOR meteorological station. Mathematical relationships between the insect stages (larva, pupa, and adult) and weather factors (rainfall and temperature) were developed indicating that pest predictions can be made for different leaf miner stages using their corresponding model equations giving specific values for rainfall and temperature. Variations in the seasonal patterns of temperature and rainfall are of major significance as a cue to timing leaf miner abundance and would help in making better decisions regarding where farmer action can target pest control interventions, thereby contributing to ensure food security. The need for continuous monitoring has great potential for detection and control of insect pests in oil palm growing areas.

scholarly journals Non-Destructive Oil Palm Fresh Fruit Bunch (FFB) Grading Technique Using Optical Sensor

2018 ◽  
Vol 10 (1) ◽  
Author(s):  
Sebastian Liban Utom ◽  
◽  
Elmy Johana Mohamad ◽  
Hanis Liyana Mohmad Ameran ◽  
Herdawatie Abdul Kadir ◽  
...  
Keyword(s):  
Optical Sensor ◽  
Oil Palm ◽  
Fresh Fruit ◽  
Fresh Fruit Bunch ◽  
Non Destructive

Training Needs Assessment of Palm Oil Processors in Ijebu North Local Government Area, Ogun State

2020 ◽  
pp. 151-161
Author(s):  
Titilope Omolara Olarewaju ◽  
Felix Oaikhena Idumah ◽  
Agatha Itohan Oseghale ◽  
Lucy Adeteju Orumwense ◽  
Olugbenga Simeon Oke ◽  
...  
Keyword(s):  
Palm Oil ◽  
Oil Palm ◽  
Training Needs ◽  
Extension Service ◽  
Family Farms ◽  
Oil Processing ◽  
Ogun State ◽  
Training Needs Assessment ◽  
Palm Fruits ◽  
Perceived Constraints

The study assessed training needs of palm oil processors in Ogun State, Nigeria. A well-structured questionnaire was used to elicit information from 90 palm oil processors. The data was analyzed using both descriptive and inferential statistics. Majority of the respondents were young, married, and experienced in palm oil processing. Women are mostly involved in palm oil processing using manual method of processing with oil palm fruits sourced more from family farms. Respondents require training for manual and mechanized processing methods. Socioeconomic factors have significant influence on different stages of palm oil processing. Poor extension service, high cost of labour, and processing machine were the most perceived constraints to palm oil processing in the study area. The study therefore concludes that there is need for training in oil palm processing. Extension service providers should intensify efforts in this regard so as to boost the palm oil supply both within and outside the country.

scholarly journals Maternal and fetal outcome in placenta previa: our experience

2020 ◽  
Vol 9 (8) ◽  
pp. 3253
Author(s):  
G. D. Maiti ◽  
M. Adhikary ◽  
P. R. Lele ◽  
Shilpa Gupta ◽  
M. Saha ◽  
...  
Keyword(s):  
Risk Factors ◽  
Birth Weight ◽  
Placenta Previa ◽  
Tertiary Care ◽  
Neonatal Morbidity ◽  
Fetal Outcome ◽  
Blood Component ◽  
Care Hospital ◽  
Potential Risks ◽  
Risks Factors

Background: Placenta previa contributes substantial maternal and neonatal morbidity including management challenges for obstetrician. This study was to evaluate the potential risks factors and feto-maternal, outcome in placenta previa. This study was done with the intent of developing insight into risk factors, clinical presentation, various interventions and management for overall improvement in maternal and fetal outcome in placenta previa.Methods: A prospective observational study, where 30 cases of placenta previa confirmed after 28 weeks POG, treated in a public sector tertiary care hospital from June 2016 to June 2018 were included. Authors analyzed the data to evaluate the potential risks factors and maternal and fetal outcome in placenta previa.Results: In this study, major contributing risk factors for placenta previa were associated with multiparity (76.7%), maternal age >30 in 50%, previous LSCS in 46.7%, repeated uterine procedure like suction evacuation/curretage. There was a high rate of maternal morbidity mainly due to haemorrhage. Perioperative uterine artery embolization (UAE) in 3 (10%), intra-operative procedures namely devascularization, internal iliac ligation in 66.6% cases, peripartum hysterectomy in 2 (6.66%) were done to control haemorrhage. Blood and blood products transfusion required in 26.7% of cases. Fetal morbidity included prematurity in 9 (33.3%), NICU admission in 11 (36.6%) majority of which included 8 (26.7%) babies of birth weight <2000 grams.Conclusions: Placenta previa contributes to significant maternal and neonatal morbidity. Multiparity, post LSCS pregnancy constitute major factor for placenta previa. Management requires high-risk obstetrical care with frequent antenatal visits. Serial ultrasonography in reported cases of low-lying placenta to mandatory exclude overdiagnosis or migration. All cases of placenta previa need to be managed in a higher centre facility of blood component therapy and neonatal intensive care unit. Prematurity and low birth weight remain a significant cause for neonatal morbidity.

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