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WOS Indexed (2023)
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (AMA) (issn: 00845841) is a peer reviewed journal first published online after indexing scopus in 1982. AMA is published by Farm Machinery Industrial Research Corp and Shin-Norinsha Co. AMA publishes every subjects of general engineering and agricultural engineering. Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Kongzhi yu Juece/Control and Decision Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)
29 May 2023 (Vol - 54 , Issue- 06 )
31 May 2023 (Vol - 54 , Issue 05 )
Aim and Scope :
AMA, Agricultural Mechanization in Asia, Africa and Latin America
AMA, Agricultural Mechanization in Asia, Africa and Latin America (ISSN: 00845841) is a peer-reviewed journal. The journal covers Agricultural and Biological Sciences and all sort of engineering topic. the journal's scopes are in the following fields but not limited to:
Agricultural and Biological Sciences
Electrical Engineering and Telecommunication
Electronic Engineering
Computer Science & Engineering
Civil and architectural engineering
Mechanical and Materials Engineering
Transportation Engineering Asia Life Sciences Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery
Industrial Engineering Teikyo Medical Journal Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics
Industrial and Commercial Design International Medical Journal Technology Reports of Kansai University Asia Life Sciences Open Access Journals Tobacco Science and Technology
Information Engineering Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Tobacco Science and Technology Teikyo Medical Journal International Medical Journal Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley Technology Reports of Kansai University
Chemical Engineering Open Access Journals Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics Azerbaijan Medical Journal
Food Engineering Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980) Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Kongzhi yu Juece/Control and Decision
Study on a Real-Time Plant Detection Companion Computer of an Agriculture and Forestry Surveillance Drone based on Neural Network Approach
The paper presents the results of the study of a plant detection program on agriculture and forestry surveillance quadcopter companion computers. The plant detection program uses an optimized convolution neural network to process the drone camera input video frame by frame and can process up to 38 FPS on the companion computer. The inference speeds up efficiently compared to the original SSD Mobilenet Lite V2 reach approximately 304 times. This performance is satisfied by most real-time applications for agriculture and forestry monitoring flight missions. The network was integrated on a NDIVIA Jetson Nano embedded computer and succeeded in detecting “coconut tree” in different simulation scenarios of a drone flight in real-time. The results demonstrate that the proposed approach could be used for further development of a fully plant detection system using only cameras. They also showed that a good outcome is achievable needing only cheap devices and can be implemented easily on forestry monitoring drones or agricultural drones which are familiar nowadays in Vietnam.
Preliminary Analysis of Physical and Flowability Properties in Measuring Caking Formation of Commercial Soft Brown Sugars
Soft brown sugar is a sugar product with a distinctive brown colour due to the presence of molasses, known for its added flavour and faster caramelization properties. It is widely used as an ingredient for baking goods. The problem of caking in soft brown sugar has been causing quality deterioration as well as interfering with manufacturing and handling processes in the industry. The aim of this study is to determine the possible factors leading to the caking of sugar in terms of physical properties and flowability properties. These factors are moisture content that is related to colour absorbance as an indication of molasses content, mean particle size, and flowability properties. The moisture content was found to be approximately proportional to the colour absorbance. The mean particle size and moisture content influenced the flowability of the soft brown sugar samples. Compaction of brown sugar into compacts was conducted to imitate industrial warehouse storage conditions in order to investigate the factors of caking. High moisture and fine mean particle sizes were the factors that caused formation of solid bridges between particles hence caking found in this study. In conclusion, the factors that caused caking were high moisture content and fine particle size of brown sugar samples.
Characterization of Silane Treated Nanosized Carica Papaya Seeds Modified Pullulan Composites
Combination of natural polymer with antimicrobial agents from plants for various applications have attracted many researchers due to its non-toxic properties. In this study, the effects of nano sized Carica papaya (CP) seeds (1% to 5% wt.%) from agro-industrial papaya waste modified biodegradable pullulan on thermal and mechanical properties of the composites were investigated. The effect of silane treatment upon nano sized CP seeds for improving adhesion were examined. Mechanical and thermal properties of the nanosized CP modified pullulan were assessed via tensile test, Differential Scanning Calorimetry (DSC) and Thermogravimetric Analysis (TGA). Characterization of the film was conducted via Fourier Transform Infrared Spectroscopy (FTIR) and the surface morphology via Field Emission Scanning Electron Microscope (FESEM). Tensile strength and elongation at break of pullulan increase at the expense of Young modulus with increasing CP loading. Silane treatment further increased the tensile strength and Young modulus and slightly decreased the elongation at break. The addition of CP seeds reduced the thermal stability of pullulan. The C-H, O-H, C-O-C, and C=O bond at the peaks of 2925.4 cm-1, 3286.1 cm-1, 1031.7 cm-1, and 1556.3 cm-1, respectively, were confirming the presence of pullulan and CP seeds. Si-O-C and Si-O-Si bonds appeared at the peak 1031.7 cm-1 shows the presence of 3-Aminopropyltrymethoxysilane. Morphological analysis showed that most of the CP seeds at all compositions were bounded well by the pullulan matrix due to silane treatment. Overall, the composition which exhibits an adequate thermal stability and highest tensile strength was silane treated CP modified pullulan at 5% CP content.
Optimal Treatment Systems for Palm Oil Mill Effluent (POME) using Optimization Modelling
Proper treatment system for palm oil mill effluent (POME) is crucial to protect waterways systems and enhance sustainability. Conversion of POME into electricity can utilize POME and generate economic return to the palm oil mill. Optimization modelling can demonstrate optimal operation processes and estimate potential economic return. The objective of this study is to analyze the potential treatment system of POME using a mixed-integer programming (MILP) model. The developed model considered multiple factors such as capital cost, maintenance cost, technology capacity, conversion ratio, and electricity price. General Algebraic Modelling System (GAMS) software version 26.1.0 major release was selected to optimize the developed MILP model. Based on case study, the developed model selects the anaerobic lagoon system (ALS) with biogas and the anaerobic digester (AD) as the most profitable treatment system for POME. The profit gained from the selected system was RM 2,153 900.00. The payback period for the investment was about 9.69 years with a return of investment (ROI) value of 97.71%.
Pineapple Flowering of cv. Pada and cv. Sarawak: Naturally, and Artificially Using Flowering Hormones
Pineapple (Ananas comosus L. Merr) flowering could be induced either naturally or artificially using flowering hormones. Although the latter was widely practiced among pineapple farmers, obtaining optimum flowering of 90% is still challenging to achieve. This issue affected the production cost and would influence the preference of cultivars to be planted. This study aims to determine the period of naturally induced flowering (NIF) and evaluate the efficacy of artificially induced flowering (AIF) and optimize the AIF using flowering hormones at various concentrations on cv. Pada and cv. Sarawak. Both cultivars were grown in polybag under Sarawak, Malaysia’s growing condition. The average NIF of cv. Pada (planted in January 2020), and cv. Sarawak (planted in February 2020), recorded until 470 days after planting (DAP), occurred at 450 and 412 DAP, respectively. The estimated initiation period of NIF on both cv. Pada, and cv. Sarawak occurred during February 2021, which corresponded to the presence of environmental stimuli (low night temperature and water stress). In AIF, optimum flowering in cv. Pada was obtained under ethephon and calcium carbide treatments, but only ethephon treatments work best for cv. Sarawak, despite failing to achieve the optimum flowering regardless of concentrations used. Following that experiment, optimization of ethephon for cv. Pada found that as low as 50 ppm could induce 90% flowering, while lower than that (25 ppm) needs twice application to promote full flowering. Meanwhile, increasing the hormone concentrations in cv. Sarawak still failed to achieve optimum flowering; however, twice application of low calcium carbide concentration (0.5%) could trigger up to 91% flowering. This study suggests that the longer or frequent hormone exposure to the plant was more effective for AIF rather than using unnecessary excessive concentration.