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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) Tobacco Science and Technology
26 Sep 2023 (Vol - 54 , Issue- 09 )
30 Sep 2023 (Vol - 54 , Issue 09 )
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 Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) 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 General Medicine (ISSN:1311-1817)
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
Information Engineering Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) 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 Tobacco Science and Technology Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817)
A comparative study on nutritional and functional composition of fresh apple pomace and dried apple pomace powder
Apple pomace is considered a major by-product of apple juice processing, which is generated in several million metric tons worldwide every year. Due to its low recovery rate, it is generally disposed of as waste, resulting in various public hazards and environmental pollution. However, it is a rich source of numerous nutritional and functional compounds such as carbohydrates, phenolic compounds, dietary fibre, minerals, and, organic acids. Therefore, this study was undertaken to study the nutritional and functional composition of fresh and dried apple pomace powder to explore its possibilities of usage in the food industry. The fresh pomace and dried apple pomace powder were subjected to various physio-chemical analysis such as bulk density, tapped density, flow ability (Carr Index), cohesiveness (Hausner ratio), carbohydrates, energy value, total polyphenols, antioxidant activity and, hydration properties. While, the functional characterization was obtained by Fourier Transform Infrared Spectroscopy (FTIR) analysis. The comparative analysis revealed that the moisture content decreased from 80.04% to 8.23 percent, while, the ash content, fat, fibre, protein, carbohydrates, energy value, ascorbic acid, total phenols and antioxidant activity increased significantly from 1.12 to 2.06 percent, 0.63 to 2.39 percent, 4.65 to 20.68 percent, 0.81 to 3.12 percent, 12.75 to 63.52 percent, 12.75 to 290.25 kcal/100g, 6.15 to 12.21 mg/100g, 95.26 to 451.14 percent and 75.21 to 85.37 percent, respectively. Moreover, the FTIR analysis confirmed the presence of carbohydrates, fats, proteins, water, phenols and identified various functional compounds including quinones, organic matter, ethers, lignin, aromatic compounds, oxy compounds and disulphides, etc.
Indian Potato Markets Linkage and Impulse Response of Price Shocks
Potato is the most cultivated vegetable accounting for 27 per cent of the total production of vegetables in the country. Production of potato in the country during 2019-20 is estimated around 20.73 lakhs ha and 519.47 Lakh Tonnes. It is always quoted that potato suffers from a significant price volatility across spatial and temporal dimensions. This paper objectively examines the potato price shocks transmission and time to adjust the shocks from other markets. The analysis is based on time series monthly data on prices of potato for four major markets viz. Agra, Allahabad, Farrukhabad and Kanpur of Uttar Pradesh. Vector autoregression (VAR) and VAR impulse response analysis was employed to examine the potato price shock response between the markets. The study revealed that when the shock is given to any market, the responses of all other markets disappear between 6 to 10 months. Agra market emerged as a prominent market which influences the price of potato in other markets.
Succession of insect pests and natural enemies in brinjal in Manipur, North East India with bio-pesticide application
Solanum melongena is one of the most popular vegetables of India and found to be affected by several insect pests which attribute to the low productivity of brinjal. The populations of insect pests and natural enemies on brinjal were surveyed during 2020-21 for studying their succession. The experiments were carried out in a Randomized Block Design (RBD). It was found that the Aleurodicus dispersus, Paracoccus marginatus, Amrasca biguttula biguttula, Aphis gossypii and Leucinodes orbonalis were found to be dominant and abundant in the brinjal ecosystem. Moderate infestation was found during rainy season but heavy infestation was observed from November to January, 2021. The bio pesticide Verticillium lecani, Metarhizium anisopliae and Beauveria bassiana were applied on brinjal grown in fields which later was found to be effective and can prevent the population buildup of insect pest of brinjal ecosystem.
Influence of trickle irrigation and hydrogel on Kinnow mandarin (Citrus reticulate Blanco) under rainfed condition
Water scarcity is a major problem of less productivity and decline of citrus orchards in almost all region of the world. Drip/trickle irrigation is a recently suggested water saving technique in rainfed agriculture. The present studies emphasized the need to maintain the adequate moisture in the root zone of orchard through micro-irrigation system at proper irrigation scheduling and will improve the micro climate of the orchard ecosystem and drip irrigation seems to be only hope for raising the orchards under depleting water resources. Application of hydrogel with black polyethylene mulch significantly affecting the yield of ‘Kinnow’ mandarin (Citrus reticulate Blanco) plants in rainfed areas. The drip trickle irrigation 3 and 6 day intervals water supply along with different dose of hydrogel viz. 30, 60, 90 and 120 g of soil application with black polyethylene mulch in relation to water and nutrient composition of leaves and soil along with growth, yield and quality attributes of the plants. The higher plant growth with maximum fruit yield (0.0119-0.0102 t ha-1) was recorded with 3 days intervals water supply by drip trickle irrigation and 90 g hydrogel with black polyethylene mulch plants treatments. The analysis of plant leaf lower concentration nutrients (N, P, K, Ca and Mg) revealed that control treatments. The relative leaf water content (RLWC), leaf water concentration (LWC), total chlorophyll (TC) and Leaf area (LA) showed an increasing trend under two year experimentation. Fruit quality, attributes and Juice content (JC), Total soluble solids (TSS) and ascorbic acid (AA) revealed an increasing trend whereas Titratable acidity (TA) was reverse trend with application of treatments. Overall, these results reveal that 3 days drip/ trickle irrigation intervals and 90 g hydrogel with black polyethylene mulch could enact necessary water stress on ‘Kinnow’ mandarin plants of subtropical ecosystem improving their water productivity and fruit yield in water infrequent condition.
Research on the prediction method of Apple firmness based on sound signal ridge regression analysis
Firmness can be used as one of the important indexes to indicate the ripeness of apple, usually determined by acoustic signal detection nondestructively, for the high correlation between acoustic signal features and firmness. In this paper, acoustic signal features with high time correlation are selected as the independent variable of the model. The acoustic signal and quality of apple were measured, and then 32 time-dependent signal features were selected by MATLAB analysis data, and the firmness of apple was predicted by ridge regression model. Using this method, the accuracy of training set and verification set is 84.7and 82.4% respectively. The actual change of apple is consistent with the prediction trend. Because of its more characteristics and more accurate model, this method has better fault tolerance for data, reduces the environmental requirements for acoustic signal detection, and paves the way for the firmness prediction of other apple varieties.