Displaying publications 1 - 20 of 136 in total

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  1. Mohsin M, Zhang J, Saidur R, Sun H, Sait SM
    Environ Sci Pollut Res Int, 2019 Aug;26(22):22494-22511.
    PMID: 31161545 DOI: 10.1007/s11356-019-05564-6
    In this study, we proposed integrated tools to evaluate the wind power potential, economic viability, and prioritize 15 proposed sites for the installation of wind farms. Initially, we used modified Weibull distribution model coupled with power law to assess the wind power potential. Secondly, we employed value cost method to estimate per unit cost ($/kWh) of proposed sites. Lastly, we used Fuzzy Technique for Order of Preference by Similarity to Ideal Solution (F-TOPSIS) to rank the best alternatives. The results indicate that Pakistan has enormous wind power potential that cost varies from 0.06 $/kWh to 0.58 $/kWh; thus, sites S12, S13, S14, and S15 are considered as the most economic viable locations for the installation of wind power project, while remaining sites are considered to be less important, due to other complexities. The further analysis using Fuzzy-TOPSIS method reveals that site S13 is the most optimal location followed by S12, S14, and S14 for the development of wind power project. We proposed that government should formulate wind power policy for the implementation of wind power projects in order to meet energy demand of the country.
    Matched MeSH terms: Farms
  2. Norela Sulaiman, Toh LF, Hazzila Abdul Samat, Ismail Sahid, Maimon Abdullah, Mohd. Rozali Othman
    Sains Malaysiana, 2007;36(2):91-95.
    This study was carried out to determine the concentrations of cypermethrin in total suspended particulate in air in several farming areas of Cameron Highlands. Samples of total suspended particulate were collected using a high volume air sampler (Model Graseby) from six different sampling sites around Cameron Highlands. Laboratory analysis of total suspended particulate was conducted by the standard method. High dosages of cypermethrin were used by farmers in the dry season. Results of the study showed that the concentrations of cypermethrin in total suspended particulate in the air samples were higher during the dry season (May-July 2004) compared to the rainy season (September-October 2004). There was a significant positive correlation between the concentrations of cypermethrin and total suspended particulate (p<0.05).
    Matched MeSH terms: Farms
  3. Bailey ES, Fieldhouse JK, Alarja NA, Chen DD, Kovalik ME, Zemke JN, et al.
    PMID: 32190346 DOI: 10.1186/s40794-020-0105-9
    In 2018, our team collected aerosols samples from five poultry farms in Malaysia. Influenza D virus was detected in 14% of samples. One sample had an 86.3% identity score similar to NCBI accession number MH785020.1. This is the first molecular sequence of influenza D virus detected in Southeast Asia from a bioaerosol sample. Our findings indicate that further study of role of IDV in poultry is necessary.
    Matched MeSH terms: Farms
  4. Saqib M, Almohamad TA, Mehmood RM
    Sensors (Basel), 2020 Apr 22;20(8).
    PMID: 32331212 DOI: 10.3390/s20082367
    A low-cost, low-power, and low data-rate solution is proposed to fulfill the requirements of information monitoring for actual large-scale agricultural farms. A small-scale farm can be easily managed. By contrast, a large farm will require automating equipment that contributes to crop production. Sensor based soil properties measurement plays an integral role in designing a fully automated agricultural farm, also provides more satisfactory results than any manual method. The existing information monitoring solutions are inefficient in terms of higher deployment cost and limited communication range to adapt the need of large-scale agriculture farms. A serial based low-power, long-range, and low-cost communication module is proposed to confront the challenges of monitoring information over long distances. In the proposed system, a tree-based communication mechanism is deployed to extend the communication range by adding intermediate nodes. Each sensor node consists of a solar panel, a rechargeable cell, a microcontroller, a moisture sensor, and a communication unit. Each node is capable to work as a sensor node and router node for network traffic. Minimized data logs from the central node are sent daily to the cloud for future analytics purpose. After conducting a detailed experiment in open sight, the communication distance measured 250 m between two points and increased to 750 m by adding two intermediate nodes. The minimum working current of each node was 2 mA, and the packet loss rate was approximately 2-5% on different packet sizes of the entire network. Results show that the proposed approach can be used as a reference model to meet the requirements for soil measurement, transmission, and storage in a large-scale agricultural farm.
    Matched MeSH terms: Farms
  5. FAIQAH MOHAMAD FUDZI, ZAHAYU MD YUSOF, MASNITA MISIRAN
    MyJurnal
    The prediction of rainfall on monthly and seasonal time scales is not only scientifically challenging but is also important for planning and devising agricultural strategies. In this paper, the study is conducted to examine the pattern of monthly rainfall in Alor Setar, Kedah within ten years which is from 2008 to 2018. This paper considered a model based on real data that obtained from Department of Meteorology Malaysia. This study indicates that the monthly rainfall in Alor Setar has a seasonal and trend pattern based on yt vs t plotting, autocorrelation function and Kruskal Wallis Test for seasonality. The examined rainfall time-series modelling approaches include Naïve Model, Decomposition Method, Holt-Winter’s and Box-Jenkins ARIMA. Multiplicative Decomposition Method was identified as the best model to forecast rainfall for the year of 2019 by analysing the previous ten-year’s data (2008-2018).As a result from the forecast of 2019, October is the wettest month with highest forecasted rainfall of 276.15mm while the driest month is in February with lowest forecasted rainfall of 50.55mm. The model is therefore adequate and appropriate to forecast future monthly rainfall values in the catchment which can help farmers to plan their farming activities ahead of time.
    Matched MeSH terms: Farms
  6. Behjati M, Mohd Noh AB, Alobaidy HAH, Zulkifley MA, Nordin R, Abdullah NF
    Sensors (Basel), 2021 Jul 26;21(15).
    PMID: 34372281 DOI: 10.3390/s21155044
    Currently, smart farming is considered an effective solution to enhance the productivity of farms; thereby, it has recently received broad interest from service providers to offer a wide range of applications, from pest identification to asset monitoring. Although the emergence of digital technologies, such as the Internet of Things (IoT) and low-power wide-area networks (LPWANs), has led to significant advances in the smart farming industry, farming operations still need more efficient solutions. On the other hand, the utilization of unmanned aerial vehicles (UAVs), also known as drones, is growing rapidly across many civil application domains. This paper aims to develop a farm monitoring system that incorporates UAV, LPWAN, and IoT technologies to transform the current farm management approach and aid farmers in obtaining actionable data from their farm operations. In this regard, an IoT-based water quality monitoring system was developed because water is an essential aspect in livestock development. Then, based on the Long-Range Wide-Area Network (LoRaWAN®) technology, a multi-channel LoRaWAN® gateway was developed and integrated into a vertical takeoff and landing drone to convey collected data from the sensors to the cloud for further analysis. In addition, to develop LoRaWAN®-based aerial communication, a series of measurements and simulations were performed under different configurations and scenarios. Finally, to enhance the efficiency of aerial-based data collection, the UAV path planning was optimized. Measurement results showed that the maximum achievable LoRa coverage when operating on-air via the drone is about 10 km, and the Longley-Rice irregular terrain model provides the most suitable path loss model for the scenario of large-scale farms, and a multi-channel gateway with a spreading factor of 12 provides the most reliable communication link at a high drone speed (up to 95 km/h). Simulation results showed that the developed system can overcome the coverage limitation of LoRaWAN® and it can establish a reliable communication link over large-scale wireless sensor networks. In addition, it was shown that by optimizing flight paths, aerial data collection could be performed in a much shorter time than industrial mission planning (up to four times in our case).
    Matched MeSH terms: Farms
  7. Chang, Geraldine Olive Ju Lien, Lai, Ven Inn, Tan, Aileen Shau Hwai, Zulfigar Yasin
    Trop Life Sci Res, 2016;27(11):45-51.
    MyJurnal
    A small scale laboratory study was conducted to determine the effects of
    salinity ranging from 15, 20, 25, 30, 35, 40, and 45 ppt on the filtration rates of juvenile
    oyster Crassostrea iredalei with 25 ppt as the control. Three juvenile oysters (shell weight:
    1.04 ± 0.12 g; shell length: 1.9 ± 0.2 cm; shell height: 1.9 ± 0.1 cm) were used to test the
    filtration rates in each salinity over the course of 8 hours. The hourly filtration rates were
    determined from the exponential decrease in algal (Chaetoceros calcitrans) concentration
    as a function of time. The oyster in 35 ppt salinity produced the highest overall filtration
    rate (FR2) with 134.06 ± 15.66 mL–1 hr–1 oyster–1 and the lowest overall filtration rate (FR2)
    occurred in oyster exposed to 15 ppt and 45 ppt with 31.30 ± 6.90 mL–1 hr–1 oyster–1 and
    32.11 ± 7.68 mL–1 hr–1 oyster–1
    respectively throughout the 8 hours. The result from this
    study can be useful for optimum oyster culturing and the oysters can be employed as a
    natural biofilter in marine polyculture farming.
    Matched MeSH terms: Farms
  8. Mohd Suhaimi NAB, de Mey Y, Oude Lansink A
    Br Food J, 2017;119(12):2788-2803.
    PMID: 29720740 DOI: 10.1108/BFJ-11-2016-0549
    Purpose: The purpose of this paper is to measure the technical inefficiency of dairy farms and subsequently investigate the factors affecting technical inefficiency in the Malaysian dairy industry.

    Design/methodology/approach: This study uses multi-directional efficiency analysis to measure the technical inefficiency scores on a sample of 200 farm observations and single-bootstrap truncated regression model to define factors affecting technical inefficiency.

    Findings: Managerial and program inefficiency scores are presented for intensive and semi-intensive production systems. The results reveal marked differences in the inefficiency scores across inputs and between production systems.

    Practical implications: Intensive systems generally have lowest managerial and program inefficiency scores in the Malaysian dairy farming sector. Policy makers could use this information to advise dairy farmers to convert their farming system to the intensive system.

    Social implications: The results suggest that the Malaysian Government should redefine its policy for providing farm finance and should target young farmers when designing training and extension programs in order to improve the performance of the dairy sector.

    Originality/value: The existing literature on Southeast Asian dairy farming has neither focused on investigating input-specific efficiency nor on comparing managerial and program efficiency. This paper aims to fill this gap.

    Matched MeSH terms: Farms
  9. Akazawa, Noriaki, Eguchi, Mitsuru
    MyJurnal
    Microcosm experiments simulating the occurrence of early mortality syndrome/acute hepatopancreatic necrosis disease (EMS/AHPND) in white shrimp production ponds were performed in 30-L aquariums. Healthy white shrimp, Litopenaeus vannamei, were reared in aquariums containing EMS/AHPND-free hatchery or pond water. Raw pond sludge, collected from shrimp ponds where EMS/AHPND had occurred, was added to some test aquariums, while others were treated with sterilized pond sludge. In some aquariums, water pH was increased from 7.5 to 8.8. Microcosms with stable pH (around 7.5) and/or autoclaved sludge served as controls. The combination of raw sludge and increased pH induced EMS/AHPND and killed white shrimp, whereas raw sludge/stable pH and autoclaved sludge/increased pH combinations did not affect healthy shrimp. Thus, EMS/AHPND outbreaks are due not only to the causative agent but also to environmental stresses such as pH fluctuation. These findings contribute to improved management in shrimp production farms.
    Matched MeSH terms: Farms
  10. Uchiyama Y, Zhang X, Suzue Y, Kosako T, Miyazawa Y, Nakayama A
    Mar Pollut Bull, 2018 May;130:40-54.
    PMID: 29866568 DOI: 10.1016/j.marpolbul.2018.03.007
    A high-resolution 3-D model was developed to assess the impact of a diversion outfall at the Tarumi Sewage Treatment Plant (TSTP) on an adjacent seaweed farm in Osaka Bay, Japan. The model was extensively validated to ensure a reasonable agreement with in situ observations. The western part of the farm is largely influenced by tidal currents, whereas the eastern area is mainly affected by subtidal residual currents that are primarily due to surface wind stress. The released effluent is transported by counterclockwise residual circulation formed off the TSTP. The model reveals that the diversion adequately suppresses the influence on the farm. While the instantaneous effluent concentration is diminished by about 50%, the effluent accumulated on the farm decreased from 2.83 × 104 m3 to 2.01 × 104 m3 due to the diversion, demonstrating an approximately 28% reduction of the effluent from the TSTP by the diversion outfall.
    Matched MeSH terms: Farms
  11. Mohamed, A.S., Muhammad Zaidi, N.F., Zolkapli, E., Aida Hamimi, I.
    MyJurnal
    Melissopalynology (pollen analysis) allows the identification of floral sources, botanical and geographical origin of selected Kelulut honey samples. Therefore, the aim of this study is to determine the origin of selected Kelulut honey by Geniotrigona thoracica and Heterotrigona itama farmed and harvested at Lenggong (Perak). Briefly, the honey was diluted in ddH2O and filtered to obtain the pollens. Subsequently, the morphology of the pollens was observed under scanning electron microscope (SEM) and the frequency classes of species were determined. Based on qualitative and quantitative analysis, G. thoracica honey was demonstrated to be a uni-floral honey and H. Itama honey as a multi-floral honey. A total of 7 types of pollens were observed in G. thoracica honey while 9 types in H. Itama honey. Some of the pollen were identified with the aid of pollen atlas while some were unidentified. Furthermore, the results obtained in this study suggested that the pollens present in Kelulut honey are crucial in identifying botanical resource of stingless bee honey, which assist in preserving the ecosystem.
    Matched MeSH terms: Farms
  12. Wong, S.F., Lim, P.K.C., Mak, J.W., Ooi, S.S., Chen, D.K.F.
    MyJurnal
    Edible bird nests (EBNs) are highly demanded globally. The industry was recently affected by an import ban to China due to high nitrite levels.Subsequently, many concerns have been raised. In this study, the microbial composition of both raw and commercial EBNs was investigated. The raw EBNs were purchased from swiftlet farms: Kuala Sanglang (Perlis), Pantai Remis (Perak), Kluang (Johor), Kajang (Selangor) and Kota Bharu (Kelantan). The commercial nests were purchased from five different Chinese traditional medicinal shops (Companies A-E) in Malaysia and one from Indonesia (Medan). A total of 123 and 34 isolates were successfully identified from unboiled raw and commercial EBNs respectively. The highest average CFU (1.77 x 104) was associated with raw EBNs obtained from Kluang, while for the commercial EBNs, those obtained from Company M1 had the highest CFU (5.50 x 104). Bacillus sp. accounted for the highest isolated species from both unboiled raw and commercial EBNs. Bacillus sp. and Brevibacillus sp. were mainly isolated from the boiled EBNs. Bacillus spp. were the dominant bacterial groups in all the raw EBNs except for those obtained from Kajang. The average number of bacteria isolated from the raw EBNs (average = 7) was higher compared with those isolated from the commercial EBNs (average = 4). The highest average number of bacterial isolates was reported in the raw EBNs obtained from Kota Bharu. Among the commercial EBNs, one EBN sample each from Companies A and M1 showed the highest number of isolates (n = 10). In general, there was a significant reduction in the number of bacteria isolated after boiling the EBNs. Raw EBNs obtained from Kajang had a distinct pool of bacterial species where the majority of the isolated species belonged to Staphylococcus species. The associated health impacts of these microorganisms to the consumers and public need to be addressed.
    Matched MeSH terms: Farms
  13. Liu JH, Yong XH, Zhen Li, Du SF, Zhang ZW, Meng XF, et al.
    Sains Malaysiana, 2015;44:347-354.
    The effect of maternal mowing on seed traits of an invasive weed, Erigeron annuus, in farmland was discussed by
    comparing mowing plants with intact (no-mowing) plants. The maternal mowing effect resulted in the decrease of seed
    mass, achene size, pappus length and germination percentage and the increase of variation in achene size, pappus length,
    dispersal distance and germination non-uniformity. To some extent, the individuals suffered mowing might accelerate
    the environmental adaptation through the increase of these variations. Our study indicated the mean of mowing in
    farmland will restrain the growth and reproduction of weed E. annuus. However, it also increases the diversity of seeds
    through a more unequal provision to seeds that shares the risk and increases fitness to a wider range of heterogeneity
    of farmland condition.
    Matched MeSH terms: Farms
  14. Ola-Fadunsin SD, Gimba FI, Abdullah DA, Jesse Abdullah FF, Sani RA
    Data Brief, 2020 Apr;29:105315.
    PMID: 32140522 DOI: 10.1016/j.dib.2020.105315
    This dataset investigated the diversity, the geographic and spatial distribution of haematophagous flies collected from cattle farms in Peninsular Malaysia. Biting flies were trapped from 25 cattle farms over a one-year period. One-way Analysis of Variance (ANOVA) was used to establish the presence/absence of statistical differences in the number of flies caught in relation to the different geographic distributions (zones). Three thousand eight hundred and eighty-nine haematophagous flies comprising of 36 different species, including Musca species (3189; 82.0%), Stomoxys species (588; 15.1%), Tabanus species (58; 1.5%), Chrysops species (19; 0.5%), Haematopota javana (3; 0.1%), Haematobosca species (29; 0.7%) and Haematobia exigua (3; 0.1%) were collected using three different types of fly traps. More biting flies were trapped in the southwest (1070; 27.5%) and south (1045; 26.9%) zones compared to other arbitrary zones of Peninsular Malaysia. Haematophagous flies were spatially distributed both in the inland and coastal parts of the country. The difference in the catch of Stomoxys species within zones was not significant (F = 1.299; df = 5; p = 0.306), although it was highest in the southwest zone. The number of Musca species caught was highest in the south zone compared to other zones, the differences was not significant (F = 0.770; df = 5; p = 0.583). Tabanidae fly species were most abundant in the southwest zone, the differences among zones was not significant (F = 1.179; df = 5; p = 0.356).
    Matched MeSH terms: Farms
  15. Zhang X, Uchiyama Y, Nakayama A
    Mar Pollut Bull, 2019 Jul;144:265-274.
    PMID: 31179996 DOI: 10.1016/j.marpolbul.2019.04.050
    An Eulerian passive tracer model coupled with a quadruple-nested 3D circulation model was used to assess the coastal dispersal of treated wastewater effluent from a sewage treatment plant and the associated impacts on an adjacent seaweed farm using three different operational scenarios. When the discharged volume and source effluent fluxes were decreased by ~16.7%, the accumulated effluent in the farm was reduced by ~25.4%. A tracer flux budget analysis revealed the apparent predominance of the transient component that accounts for the nonlinear interactions primarily from tidal currents and eddies. The transient flux promoted the effluent influx to impede effluent accumulation in the farm, whereas the mean flux contributed to the outgoing flux. A source flux reduction caused a remarkable decrease in the transient flux and thus an even greater effluent accumulation reduction. In turn, a modified source density scenario without total effluent volume change did not work as expected.
    Matched MeSH terms: Farms
  16. Thanh Hai L, Tran QB, Tra VT, Nguyen TPT, Le TN, Schnitzer H, et al.
    Environ Pollut, 2020 Oct;265(Pt B):114853.
    PMID: 32480006 DOI: 10.1016/j.envpol.2020.114853
    This study proposes an integrated cattle breeding and cultivation system that provides zero emission and sustainable livelihood for the community in rural areas. The proposed integrated farming system improves agricultural productivity and environmental and sanitation conditions, minimizes the amount of waste, and increases the family income up to 41.55%. Several waste types can be recycled and transformed into valuable products, such as energy for cooking, organic fertilizer for crops, and cattle feed for breeding. Wastewater effluent from the biogas tank can be treated by biochar and results show that it then meets the standards for irrigation purposes. Also, the waste flow from cattle breeding supplies enough nutrients to cultivate plants, and the plants grown supply are adequate food for the 30 cows living on the farm. This research shows that the use of an integrated farming system could achieve zero-emission goal. Thereby, it provides a sustainable livelihood for cattle breeding family farms. The proposed integrated cattle breeding and cultivation system improves agricultural productivity, environmental and increases the farmer income up to 41.55%.
    Matched MeSH terms: Farms
  17. Wan Mohd Hafezul Wan Abdul Ghani, Che Salmah Md Rawi, Suhaila Abd. Hamid, Al-Shami, Salman Abdo
    Trop Life Sci Res, 2016;27(1):115-133.
    MyJurnal
    This study analyses the sampling performance of three benthic sampling tools
    commonly used to collect freshwater macroinvertebrates. Efficiency of qualitative D-frame
    and square aquatic nets were compared to a quantitative Surber sampler in tropical
    Malaysian streams. The abundance and diversity of macroinvertebrates collected using
    each tool evaluated along with their relative variations (RVs). Each tool was used to
    sample macroinvertebrates from three streams draining different areas: a vegetable farm,
    a tea plantation and a forest reserve. High macroinvertebrate diversities were recorded using the square net and Surber sampler at the forested stream site; however, very low
    species abundance was recorded by the Surber sampler. Relatively large variations in the
    Surber sampler collections (RVs of 36% and 28%) were observed for the vegetable farm
    and tea plantation streams, respectively. Of the three sampling methods, the square net
    was the most efficient, collecting a greater diversity of macroinvertebrate taxa and a
    greater number of specimens (i.e., abundance) overall, particularly from the vegetable
    farm and the tea plantation streams (RV
    Matched MeSH terms: Farms
  18. Senanayake S, Pradhan B, Huete A, Brennan J
    Sci Total Environ, 2021 Nov 10;794:148788.
    PMID: 34323751 DOI: 10.1016/j.scitotenv.2021.148788
    Healthy farming systems play a vital role in improving agricultural productivity and sustainable food production. The present study aimed to propose an efficient framework to evaluate ecologically viable and economically sound farming systems using a matrix-based analytic hierarchy process (AHP) and weighted linear combination method with geo-informatics tools. The proposed framework has been developed and tested in the Central Highlands of Sri Lanka. Results reveal that more than 50% of farming systems demonstrated moderate status in terms of ecological and economic aspects. However, two vulnerable farming systems on the western slopes of the Central Highlands, named WL1a and WM1a, were identified as very poor status. These farming systems should be a top priority for restoration planning and soil conservation to prevent further deterioration. Findings indicate that a combination of ecologically viable (nine indicators) and economical sound (four indicators) criteria are a practical method to scrutinize farming systems and decision making on soil conservation and sustainable land management. In addition, this research introduces a novel approach to delineate the farming systems based on agro-ecological regions and cropping areas using geo-informatics technology. This framework and methodology can be employed to evaluate the farming systems of other parts of the country and elsewhere to identify ecologically viable and economically sound farming systems concerning soil erosion hazards. The proposed approach addresses a new dimension of the decision-making process by evaluating the farming systems relating to soil erosion hazards and suggests introducing policies on priority-based planning for conservation with low-cost strategies for sustainable land management.
    Matched MeSH terms: Farms
  19. Gaveau DL, Sheil D, Husnayaen, Salim MA, Arjasakusuma S, Ancrenaz M, et al.
    Sci Rep, 2016 09 08;6:32017.
    PMID: 27605501 DOI: 10.1038/srep32017
    New plantations can either cause deforestation by replacing natural forests or avoid this by using previously cleared areas. The extent of these two situations is contested in tropical biodiversity hotspots where objective data are limited. Here, we explore delays between deforestation and the establishment of industrial tree plantations on Borneo using satellite imagery. Between 1973 and 2015 an estimated 18.7 Mha of Borneo's old-growth forest were cleared (14.4 Mha and 4.2 Mha in Indonesian and Malaysian Borneo). Industrial plantations expanded by 9.1 Mha (7.8 Mha oil-palm; 1.3 Mha pulpwood). Approximately 7.0 Mha of the total plantation area in 2015 (9.2 Mha) were old-growth forest in 1973, of which 4.5-4.8 Mha (24-26% of Borneo-wide deforestation) were planted within five years of forest clearance (3.7-3.9 Mha oil-palm; 0.8-0.9 Mha pulpwood). This rapid within-five-year conversion has been greater in Malaysia than in Indonesia (57-60% versus 15-16%). In Indonesia, a higher proportion of oil-palm plantations was developed on already cleared degraded lands (a legacy of recurrent forest fires). However, rapid conversion of Indonesian forests to industrial plantations has increased steeply since 2005. We conclude that plantation industries have been the principle driver of deforestation in Malaysian Borneo over the last four decades. In contrast, their role in deforestation in Indonesian Borneo was less marked, but has been growing recently. We note caveats in interpreting these results and highlight the need for greater accountability in plantation development.
    Matched MeSH terms: Farms/legislation & jurisprudence; Farms/trends
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