Displaying publications 1 - 20 of 131 in total

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  1. Economic assessment and ranking of wind power potential using fuzzy-TOPSIS approach
    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. The Singapore cold storage daily farm in its relation to antimalarial control measures
    Scharff JW
    Malayan Medical Journal, 1931;6:82-7.
    Matched MeSH terms: Farms
  3. Fulltext RAINFALL FORECASTING WITH TIME SERIES MODEL IN ALOR SETAR, KEDAH
    FAIQAH MOHAMAD FUDZI, ZAHAYU MD YUSOF, MASNITA MISIRAN
    UMT Journal of Undergraduate Research, 2021;3(1):37-44.
    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
  4. Fulltext LoRa Communications as an Enabler for Internet of Drones towards Large-Scale Livestock Monitoring in Rural Farms
    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
  5. Fulltext The effects of salinity on the filtration rates of juvenile tropical oyster Cassostrea iredalei
    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
  6. Fulltext Concentration of insecticides cypermethrin isomer in total suspended particulate in air of Cameron Highlands, Pahang, Malaysia
    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
  7. Fulltext First sequence of influenza D virus identified in poultry farm bioaerosols in Sarawak, Malaysia
    Bailey ES, Fieldhouse JK, Alarja NA, Chen DD, Kovalik ME, Zemke JN, et al.
    Trop Dis Travel Med Vaccines, 2020;6:5.
    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
  8. Fulltext A Low-Cost Information Monitoring System for Smart Farming Applications
    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
  9. Smallholder vegetable farming produces more soil microplastics pollution than large-scale farming
    Hao Y, Sun H, Zeng X, Dong G, Kronzucker HJ, Min J, et al.
    Environ Pollut, 2023 Jan 15;317:120805.
    PMID: 36470457 DOI: 10.1016/j.envpol.2022.120805
    Microplastics (MPs) accumulation in farmland has attracted global concern. Smallholder farming is the dominant type in China's agriculture. Compared with large-scale farming, smallholder farming is not constrained by restrictive environmental policies and public awareness about pollution. Consequently, the degree to which smallholder farming is associated with MP pollution in soils is largely unknown. Here, we collected soil samples from both smallholder and large-scale vegetable production systems to determine the distribution and characteristics of MPs. MP abundance in vegetable soils was 147.2-2040.4 MP kg-1 (averaged with 500.8 MP kg-1). Soil MP abundance under smallholder cultivation (730.9 MP kg-1) was twice that found under large-scale cultivation (370.7 MP kg-1). MP particle sizes in smallholder and large-scale farming were similar, and were mainly <1 mm. There were also differences in MP characteristics between the two types of vegetable soils: fragments (60%) and fibers (34%) were dominant under smallholder cultivation, while fragments (42%), fibers (42%), and films (11%) were dominant under large-scale cultivation. We observed a significant difference in the abundance of fragments and films under smallholder versus large-scale cultivation; the main components of MPs under smallholder cultivation were PP (34%), PE (28%), and PE-PP (10%), while these were PE (29%), PP (16%), PET (16%), and PE-PP (13%) under large-scale cultivation. By identifying the shape and composition of microplastics, it can be inferred that agricultural films were not the main MP pollution source in vegetable soil. We show that smallholder farming produces more microplastics pollution than large-scale farming in vegetable soil.
    Matched MeSH terms: Farms
  10. Fulltext Enhancing Food Security through Digital Inclusive Finance: Evidence from Agricultural Enterprises in China
    Huang S, Nik Azman NH
    Int J Environ Res Public Health, 2023 Feb 08;20(4).
    PMID: 36833648 DOI: 10.3390/ijerph20042956
    As a means of enhancing food security, efficient agricultural processing and the maintenance of a smooth supply chain are essential for ensuring food quality and reducing food wastage. Agricultural enterprises play a crucial role in the processing and transportation of food from farms to dinner tables. Operating income growth plays the vital role of ensuring that agricultural enterprises function in a stable manner while also indicating the quantity and quality of market food supply. Therefore, the objective of this study is to explore the impact of digital inclusive finance on food security by analyzing the effect of digital inclusive finance on the operating income of agricultural enterprises in China. By applying pooled OLS analysis to Chinese agricultural enterprises that are listed in the National Equities Exchange and Quotations, this study finds that digital inclusive finance can help improve agricultural operating income. The results reveal that digital inclusive finance can facilitate the promotion of agricultural operating income by increasing the supply of financing, accelerating inventory liquidity, and supporting investment in research and development. In addition, this study concludes that digital inclusive finance is more effective for increasing agricultural operating income as a result of its wider coverage and deeper utilization. Furthermore, the development of traditional finance is still necessary for the digitization of digital inclusive finance to be effective.
    Matched MeSH terms: Farms
  11. Modern analytical and bioanalytical technologies and concepts for smart and precision farming
    Tsong JL, Khor SM
    Anal Methods, 2023 Jul 06;15(26):3125-3148.
    PMID: 37376849 DOI: 10.1039/d3ay00647f
    Unpredictable natural disasters, disease outbreaks, climate change, pollution, and war constantly threaten food crop production. Smart and precision farming encourages using information or data obtained by using advanced technology (sensors, AI, and IoT) to improve decision-making in agriculture and achieve high productivity. For instance, weather prediction, nutrient information, pollutant assessment, and pathogen determination can be made with the help of new analytical and bioanalytical methods, demonstrating the potential for societal impact such as environmental, agricultural, and food science. As a rising technology, biosensors can be a potential tool to promote smart and precision farming in developing and underdeveloped countries. This review emphasizes the role of on-field, in vivo, and wearable biosensors in smart and precision farming, especially those biosensing systems that have proven with suitably complex and analytically challenging samples. The development of various agricultural biosensors in the past five years that fulfill market requirements such as portability, low cost, long-term stability, user-friendliness, rapidity, and on-site monitoring will be reviewed. The challenges and prospects for developing IoT and AI-integrated biosensors to increase crop yield and advance sustainable agriculture will be discussed. Using biosensors in smart and precision farming would ensure food security and revenue for farming communities.
    Matched MeSH terms: Farms
  12. New insights in improving sustainability in meat production: opportunities and challenges
    Kumar P, Abubakar AA, Verma AK, Umaraw P, Adewale Ahmed M, Mehta N, et al.
    Crit Rev Food Sci Nutr, 2023 Nov;63(33):11830-11858.
    PMID: 35821661 DOI: 10.1080/10408398.2022.2096562
    Treating livestock as senseless production machines has led to rampant depletion of natural resources, enhanced greenhouse gas emissions, gross animal welfare violations, and other ethical issues. It has essentially instigated constant scrutiny of conventional meat production by various experts and scientists. Sustainably in the meat sector is a big challenge which requires a multifaced and holistic approach. Novel tools like digitalization of the farming system and livestock market, precision livestock farming, application of remote sensing and artificial intelligence to manage production and environmental impact/GHG emission, can help in attaining sustainability in this sector. Further, improving nutrient use efficiency and recycling in feed and animal production through integration with agroecology and industrial ecology, improving individual animal and herd health by ensuring proper biosecurity measures and selective breeding, and welfare by mitigating animal stress during production are also key elements in achieving sustainability in meat production. In addition, sustainability bears a direct relationship with various social dimensions of meat production efficiency such as non-market attributes, balance between demand and consumption, market and policy failures. The present review critically examines the various aspects that significantly impact the efficiency and sustainability of meat production.
    Matched MeSH terms: Farms
  13. Scientific concept and practices of life community of mountains, rivers, forests, farmlands, lakes, grasslands, and deserts in China
    Liu S, Dong Y, McConkey KR, Tran LP, Wang F, Liu H, et al.
    Ambio, 2023 Dec;52(12):1939-1951.
    PMID: 37392251 DOI: 10.1007/s13280-023-01898-1
    China prioritizes ecological civilization construction and embraces the concept of "lucid waters and lush mountains are invaluable assets." Great achievements have been made in ecological protection and restoration through implementing a series of policies and projects. This paper reviews the history of ecological restoration in China and the current development of the "integrated protection and restoration project of mountains, rivers, forests, farmlands, lakes, grasslands, and deserts (IPRP)." Furthermore, the characteristics of IPRP were systematically elaborated from the perspectives of the ecological civilization thought, the policy management, and the key scientific issues. Also, the current achievements were summarized in the fields of national ecological space management, biodiversity conservation, and ecological protection and restoration. Existing challenges in management policy, scientific issues, and engineering practices were highlighted. Future perspectives include ecological space control, nature-based Solutions, biodiversity big data platform, modern techniques, and value realization mechanisms of ecological products.
    Matched MeSH terms: Farms
  14. Dairy farmers' knowledge, awareness and practices regarding bovine lameness in Malaysian dairy farms
    Sadiq MB, Ramanoon SZ, Mansor R, Syed-Hussain SS, Mossadeq WMS
    Trop Anim Health Prod, 2024 Jan 17;56(2):45.
    PMID: 38231431 DOI: 10.1007/s11250-024-03889-0
    Given the data paucity on dairy farmers' perspectives regarding bovine lameness and hoof diseases, particularly in South East Asian countries, this study was conducted to assess the knowledge, attitude and practices toward lameness and hoof health among dairy cattle farmers in Malaysia. An online-based and face-to-face survey was conducted among 114 dairy farmers from four states in Peninsular Malaysia. Data were analysed using descriptive statistics, principal component analysis and an independent sample t-test. Overall, farmers demonstrated satisfactory knowledge and attitude regarding lameness and its impact on dairy cattle welfare and production. Lameness was ranked the second most important health issue in dairy farms after mastitis. Notably, 90% reported the presence of at least one lame cow on their farms, and 55% stated lameness as the reason for culling their cows. While sole ulcer was the hoof lesion mostly identified by farmers, 75% of them underestimated lameness prevalence on their farms and rarely implemented management strategies such as preventive hoof trimming and footbath. Farmers' educational qualification influenced their understanding of the impact of lameness on dairy cattle production. Despite reflecting satisfactory knowledge and attitude towards lameness in dairy cows, farmers in this study need to improve their current management practices to address lameness problem in their herds. Educating farmers on the importance of early detection and prompt treatment, and preventive measures are crucial for lameness control and improving hoof health in these dairy farms.
    Matched MeSH terms: Farms
  15. Epidemiology of rumen fluke infection in selected buffalo farms in perak, malaysia: prevalence, molecular species identification, and associated risk factors
    Tookhy NA, Isa NM, Rahaman YA, Ahmad NI, Sharma RSK, Idris LH, et al.
    Parasitol Res, 2024 Apr 30;123(5):199.
    PMID: 38687367 DOI: 10.1007/s00436-024-08219-9
    Rumen flukes cause heavy economic losses in the ruminant industry worldwide, especially in tropical and subtropical countries. This study estimated the prevalence of rumen flukes in buffaloes, identified the species diversity, and determined risk factors associated with rumen fluke prevalence in Perak, Peninsular Malaysia. A cross-sectional study was conducted, and 321 faecal samples were collected from six buffalo farms. A structured questionnaire was developed, and farmers were interviewed to obtain information regarding risk factors associated with rumen fluke infection. The faecal samples were examined using sedimentation and Flukefinder® techniques. Genomic DNA was extracted from the fluke eggs recovered using the Flukefinder® method, and the internal transcribed spacer 2 (ITS2) fragment was amplified and sequenced to facilitate species identification. The results showed that the overall prevalence of rumen fluke across the sampled farms was 40.2% (129/321). Three rumen fluke species were identified, namely, Fischoederius elongatus, F. cobboldi, and Orthocoelium streptocoelium. Several management factors had a significant association (P 
    Matched MeSH terms: Farms*
  16. Fulltext Molecular characterization of culturable bacteria in raw and commercial Edible Bird Nests (EBNs)
    Wong, S.F., Lim, P.K.C., Mak, J.W., Ooi, S.S., Chen, D.K.F.
    International Food Research Journal, 2018;25(3):966-974.
    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
  17. Fulltext Efficiency of different sampling tools for aquatic macroinvertebrate collections in Malaysian streams
    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. Proposing an ecologically viable and economically sound farming system using a matrix-based geo-informatics approach
    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. Fulltext Measuring and explaining multi-directional inefficiency in the Malaysian dairy industry
    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
  20. Fulltext Pond sludge and increased pH cause early mortality syndrome/acute hepatopancreatic necrosis disease (EMS/AHPND) in cultured white shrimp
    Akazawa, Noriaki, Eguchi, Mitsuru
    Borneo Journal of Marine Science and Aquaculture, 2017;1(1):92-96.
    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
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