World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering最新文献
A. M. Johari, N. Rahman, A. S. Baharuddin, R. Basha, M. Mohammed, Dzieda, Muhamad Parid, S. A. Razak, M. Wakisaka
{"title":"Effects of different low temperature storage conditions on the physico-chemical properties of Mastura (J37) jackfruit bulbs","authors":"A. M. Johari, N. Rahman, A. S. Baharuddin, R. Basha, M. Mohammed, Dzieda, Muhamad Parid, S. A. Razak, M. Wakisaka","doi":"10.37865/jafe.2020.0009","DOIUrl":"https://doi.org/10.37865/jafe.2020.0009","url":null,"abstract":"Mastura (J37) jackfruit planted in Pahang (Malaysia) is less preferred by the consumers and has caused backlog in the plantation as reported by Pahang State Farmers Association (PASFA). In this study, the proposed solution given was to use vacuum packaging to pack the bulbs and store them at 8-10ᵒC (refrigerator) and -18ᵒC (deep-freezer). After 3 weeks of storage, deep-frozen vacuum-packed bulbs had lower ripening index (265) and microbial count (6x102cfu/ml) when compared to refrigerated vacuum-packed bulbs which had higher ripening index (629) and higher microbial count (52x102cfu/ml). The lightness, L* value of vacuum-packed jackfruit bulb samples under deep-freeze storage was higher compared to the ones under refrigeration storage. The output obtained from this work provides preliminary data which are useful for Mastura (J37) jackfruit further downstream processing. These data are helpful as they contribute towards the understanding of further processing of this particular jackfruit variety into end products, in order to solve the issue faced by PASFA.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"23 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81484035","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Colour evaluation of sterilized and unsterilized palm fruitlets mesocarp at different storage time","authors":"","doi":"10.37865/jafe.2020.0004","DOIUrl":"https://doi.org/10.37865/jafe.2020.0004","url":null,"abstract":"Colour has been widely used in agriculture application in order to indicate the different level of ripeness and freshness of fruits and food. In this study, the freshness of oil palm fruitlet was evaluated by measuring its colour using colorimeter. Two types of oil palm fruitlets were investigated; sterilized and unsterilized, and the fruitlets were exposed to the environment for three days. The measurement of colour (in terms of L*, a*, and b* values) was measured using Konica Colour Reader on an exposed surface that was cut to specific dimension. The individual parameters of L*, a*, b* colour systems were measured daily for three days. The findings revealed that the unsterilized fruitlet showed the most significant color change after three days which indicates that oxidation and deterioration of the freshness continues to occur. The sterilized fruitlet did not show any major difference of colour value which can be explained by the inhibition of enzyme activity by sterilization process that causes oxidation. This study has proven that colour can be used to evaluate the freshness and oxidation of oil palm fruitlets. The findings of this study will be useful for palm oil industry to develop a proper palm freshness evaluation system.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"27 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80731646","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Optical imaging techniques for rice diseases detection: A review","authors":"N. Bachik, N. Hashim, A. Wayayok, H. Man, M. Ali","doi":"10.37865/jafe.2020.0001","DOIUrl":"https://doi.org/10.37865/jafe.2020.0001","url":null,"abstract":"Rice diseases have caused great economic losses to farmers in rice cultivation. The current assessment of rice disease evaluation still relies on manual, subjective, and laborious techniques. The manual and subjective evaluations lead to uncertainties since some diseases have almost similar characterisation. The applications of immunological, molecular, and microscope techniques are time-consuming, costly, and skills dependent. Thus, optical techniques are recommended to facilitate the control of diseases through their feasibility, rapidity, and accuracy, which can lead to better management strategies, besides improving production activity. These techniques for detecting and monitoring the diseases are important for precaution and prevention action. The present review discusses the existing and potential optical techniques for the detection of rice diseases. The techniques include optical imaging that consists of computer vision, spectroscopy, multispectral imaging, hyperspectral imaging (HSI), and remote sensing. Thus, this work presents in-depth information related to the nondestructive and potential applications of optical imaging techniques for rice disease detection.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"37 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"79272808","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Quality evaluation of mango using non-destructive approaches: A review","authors":"","doi":"10.37865/jafe.2020.0003","DOIUrl":"https://doi.org/10.37865/jafe.2020.0003","url":null,"abstract":"Mango (Mangifera indica L.) is one of the most popular and nutritionally rich fruits. It is also acknowledged as the king of fruits in India. Quality attributes of mango fruit depends on its appearances such as size, shape, skin colour, flesh colour, flavour, sweetness, and aroma. Over the recent years, non-destructive techniques have been garnering the interest of researchers as potential technologies that can be used for quality assessment of fruits in a part of postharvest processing. The present patterns of non-destructive techniques are more efficient, inexpensive, yield faster and accurate results. This mini review paper focuses on some of the previous applications of non-destructive techniques in quality evaluation of mango, focusing specifically on the non-destructive technique based on quality parameters. The future trend of using non-destructive techniques for quality evaluation is also discussed in this review paper.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"29 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78751553","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electrolyzed water as a sustainable cleaning and disinfection chemical for SMEs Malaysian meat processing food industries: Challenges and uncertainties","authors":"","doi":"10.37865/jafe.2020.0006","DOIUrl":"https://doi.org/10.37865/jafe.2020.0006","url":null,"abstract":"","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"9 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80260258","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Chen Yee Being, N. Hashim, B. Maringgal, Mohd Hafizz Wondi
{"title":"A review of non-destructive techniques applied for measuring quality of oil palm fresh fruit bunches","authors":"Chen Yee Being, N. Hashim, B. Maringgal, Mohd Hafizz Wondi","doi":"10.37865/jafe.2020.0002","DOIUrl":"https://doi.org/10.37865/jafe.2020.0002","url":null,"abstract":"The quality of oil palm fruits is evaluated through several characteristics such as the ripeness level, oil content, and free fatty acid. Besides human visual assessment and destructive techniques, another alternative method that provides quality assessment on oil palm fresh fruits bunches (FFB) is through the application of non-destructive techniques. A few of the non-destructive techniques are covered in this review such as machine vision system, visible or near infrared spectroscopy, image processing using relative entropy, fluorescence technique, Kinect camera, and optical sensor system. The main quality parameter that is being evaluated is the ripeness level of the FFB because the maturity of FFB has a direct impact on the quality of the extracted oil that will eventually affect the economic value of palm oil.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"1 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2020-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"90339455","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
K. H. Machekposhti, H. Sedghi, Abdolrasoul Telvari, H. Babazadeh
{"title":"Flood Predicting in Karkheh River Basin Using Stochastic ARIMA Model","authors":"K. H. Machekposhti, H. Sedghi, Abdolrasoul Telvari, H. Babazadeh","doi":"10.5281/zenodo.1316544","DOIUrl":"https://doi.org/10.5281/zenodo.1316544","url":null,"abstract":"Floods have huge environmental and economic impact. Therefore, flood prediction is given a lot of attention due to its importance. This study analysed the annual maximum streamflow (discharge) (AMS or AMD) of Karkheh River in Karkheh River Basin for flood predicting using ARIMA model. For this purpose, we use the Box-Jenkins approach, which contains four-stage method model identification, parameter estimation, diagnostic checking and forecasting (predicting). The main tool used in ARIMA modelling was the SAS and SPSS software. Model identification was done by visual inspection on the ACF and PACF. SAS software computed the model parameters using the ML, CLS and ULS methods. The diagnostic checking tests, AIC criterion, RACF graph and RPACF graphs, were used for selected model verification. In this study, the best ARIMA models for Annual Maximum Discharge (AMD) time series was (4,1,1) with their AIC value of 88.87. The RACF and RPACF showed residuals’ independence. To forecast AMD for 10 future years, this model showed the ability of the model to predict floods of the river under study in the Karkheh River Basin. Model accuracy was checked by comparing the predicted and observation series by using coefficient of determination (R2). Keywords—Time series modelling, stochastic processes, ARIMA model, Karkheh River.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"178 1","pages":"89-96"},"PeriodicalIF":0.0,"publicationDate":"2018-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"77577093","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Histopathological alterations in liver of mice exposed to different doses of Diclofenac Sodium","authors":"Deepak Mohan, Sushma Sharma","doi":"10.4172/2161-0525-C3-017","DOIUrl":"https://doi.org/10.4172/2161-0525-C3-017","url":null,"abstract":"","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"86 1","pages":"763-767"},"PeriodicalIF":0.0,"publicationDate":"2017-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"76341655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluation of Disease Risk Variables in the Control of Bovine Tuberculosis","authors":"B. Şentürk","doi":"10.5281/zenodo.1129115","DOIUrl":"https://doi.org/10.5281/zenodo.1129115","url":null,"abstract":"In this study, due to the recurrence of bovine tuberculosis, in the same areas, the risk factors for the disease were determined and evaluated at the local level. This study was carried out in 32 farms where the disease was detected in the district and center of Samsun province in 2014. Predetermined risk factors, such as farm, environmental and economic risks, were investigated with the survey method. It was predetermined that risks in the three groups are similar to the risk variables of the disease on the global scale. These risk factors that increase the susceptibility of the infection must be understood by the herd owners. The risk-based contagious disease management system approach should be applied for bovine tuberculosis by farmers, animal health professionals and public and private sector decision makers.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"7 1","pages":"48-51"},"PeriodicalIF":0.0,"publicationDate":"2017-01-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87032618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Cristina Decano, Vitaliana U. Malamug, M. Agulto, H. Gavino
{"title":"Development of Corn (Zea mays L.) Stalk Geotextile Net for Soil Erosion Mitigation","authors":"Cristina Decano, Vitaliana U. Malamug, M. Agulto, H. Gavino","doi":"10.18178/JOAAT.3.4.276-280","DOIUrl":"https://doi.org/10.18178/JOAAT.3.4.276-280","url":null,"abstract":"Abstract—This study aimed to introduce new natural fiber to be used in the production of geotextile net for mitigation of soil erosion. Fiber extraction from the stalks was the main challenge faced during the processing of stalks to ropes. Thus, an investigation on the extraction procedures of corn (Zea mays L.) stalk under biological and chemical retting was undertaken. Results indicated significant differences among percent fiber yield as affected by the retting methods used with values of 15.07%, 12.97%, 11.60%, and 9.01%, for dew, water, chemical (1 day after harvest and15 days after harvest), respectively, with the corresponding average extracting duration of 70, 82, 89, and 94 minutes. Physical characterization of the developed corn stalk geotextile net resulted to average mass per unit area of 806.25 g/m and 241% water absorbing capacity. The effect of corn stalk geotextile net in mitigating soil erosion was evaluated in a laboratory experiment for 30o and 60o inclinations with three treatments: bare soil (A1), corn stalk geotextile net (A2) and combined cornstalk geotextile net and vegetation cover (A3). Results revealed that treatment A2 and A3 significantly decreased sediment yield and an increase in terms of soil loss reduction efficiency. The cost of corn stalk geotextile net is Php 62.41 per square meter.","PeriodicalId":23659,"journal":{"name":"World Academy of Science, Engineering and Technology, International Journal of Biological, Biomolecular, Agricultural, Food and Biotechnological Engineering","volume":"52 1","pages":"618-623"},"PeriodicalIF":0.0,"publicationDate":"2016-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"73633685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}