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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. Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817) Chinese Journal of Evidence-Based Medicine Zhongguo yi liao qi xie za zhi = Chinese journal of medical instrumentation Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Kexue Tongbao/Chinese Science Bulletin Dalian Haishi Daxue Xuebao/Journal of Dalian Maritime University

Submission Deadline
02 Mar 2024 (Vol - 55 , Issue- 03 )
Upcoming Publication
31 Mar 2024 (Vol - 55 , Issue 03 )

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
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering

Development of Vitamin D and Carotene fortified functional Yoghurt

Paper ID- AMA-04-12-2023-12754

Yoghurt is a favourite dairy product for billions of people around the world and the producers constantly seek out ways of bringing new varieties for new eating occasions to be enjoyed anywhere and anytime. Food fortification is thought to be a highly effective solution and among the most cost effective public health interventions currently available. The crystalline vitamin D the carotene were fortified in yoghurt. The optimized level of fortification of vitamin D at the concentration of 1500 IU per litre of milk and carotene at the concentration of 15% per litre of milk were incorporated in yoghurt and subjected to sensory evaluation, texture analysis and microbial profile during storage up to 14 days at 5⁰C. Further, the vitamin D and carotene fortified yoghurt samples were subjected to High Performance Liquid Chromatography (HPLC) to assess the retention of vitamin D and carotene in the fortified product during storage and found satisfactory. Hence, the developed Vitamin D and carotene fortified yoghurt will address the nutritional deficiency prevalent among the public and thereby improves the nutritional status.

Assessing the effect of variation in fat content and temperature on the electrical conductivity of milk: A regression modelling approach

Paper ID- AMA-02-12-2023-12751

The present study aims to examine the influence of milk fat content on Electrical Conductivity (EC) across a range of temperatures spanning from 25°C to 90°C. Milk is a heterogeneous combination of water, proteins, carbohydrates, minerals, and lipids, with milk fat as a prominent component. A comprehensive understanding of the impact of milk fat on EC is of utmost importance for a range of applications within milk processing, including the evaluation of milk quality, the separation of cream, and the regulation of process parameters during ohmic heating. The EC of milk is affected by the movement of ions, which mainly originate from dissolved salts and charged functional groups found in proteins and other constituents. Until now, no literature has been published indicating a numeric range or value of EC for a wide temperature range for milk of various fat contents. Considering the above-mentioned points, the present study has been conducted for the analysis of the EC of milk with multiple fat percentages at a broader temperature range. Regression modelling and partial regression modelling techniques are used to investigate the correlation. It was observed that increasing fat percentage showed an inverse relationship with the EC of milk, whereas the EC increased with increasing milk temperature. The current study would be beneficial for the estimation of current requirements during the ohmic heating of milk, ultimately helping in the efficient design of an ohmic heater and optimizing the processing parameters.

Weather forecast interpretation for improved agro-advisory for Cauvery Delta Zone of Tamil Nadu, India

Paper ID- AMA-02-12-2023-12750

Cauvery Delta Zone in Tamil Nadu is a significant area used for agricultural production, and its productivity is prominently influenced by weather. Farmers would find agro-services based on meteorological indicators to be beneficial. Interpretation and verification of weather forecast for Cauvery Delta Zone is the main subject of this study. Based on weather forecasts from the India Meteorological Department, advisory services were provided to seven districts in the Cauvery Delta Zone. Actual weather data collected at the Agrometeorological observatory of the Tamil Nadu Rice Research Institute, Aduthurai, was analysed to confirm the accuracy and validity of the weather forecast for 2022. Both qualitative and quantitative methodologies were used to analyse the anticipated weather factors. Simple success probability analysis of rainfall forecast, 2022 indicated that in all districts more than 90 % success rate was registered during winter and summer. Minimum success rate was registered during NEM in most districts. Maximum temperature probability analysis indicated that higher success percentage was registered in most districts during winter, 2022. During summer highest success rate was recorded in Thajnavur district. Monsoon season (both SWM and NEM) registered less success rate than the winter and summer season. Forecast accuracy of wind speed is very poor in all districts for all season. This indicates clearly that there is a need to improve forecast accuracy for wind speed. Results confirm that weather forecast is useful for the farmers but further improvement of forecast accuracy is needed.

Effect of different shade nets on growth, yield, and quality of Palak (Beta vulgaris var bengalensis)

Paper ID- AMA-29-11-2023-12746

A research experiment was conducted at Vegetable Research Farm, Punjab Agricultural University, Ludhiana during the summer and rainy seasons of 2021-2022 to study the effects of colour shade nets on different parameters of palak (Beta vulgaris var bengalensis). The experiment was set up in a split-plot design, with three replications, utilizing seven different coloured shade nets (red, blue, black, white, green with 50% and 70% shade level and open condition) in the main plot and seven distinct sowing times at monthly intervals from mid-April to mid-October in the sub-plot. From the results, it was examined that air temperature and light intensity were significantly lower under the various coloured shade nets in comparison to open conditions. The palak exhibited varying characteristics based on the conditions of shade nets. Specifically, the duration for germination (4.2 days), plant height (31.8 cm), leaf length (21.6 cm), leaf area (47.1 cm2), and overall yield (134.0 q/ha) were most pronounced when a green shade net with a 50% shading level was used. Whereas, dry matter content (10.5%) and chlorophyll concentration (8.75 mg/100g), showed improved results when a white shade net and red shade net were employed, respectively. The maximum cost-benefit ratio of 3.28 was achieved specifically in crops sown in August under a green shade net with a 50% shade level. Overall, it was observed that green colour shade net with 50% shade level may be recommended palak cultivation during summer months in Punjab conditions.

Empirical Study on the Factors of Agriculture Production Function in Algeria

Paper ID- AMA-27-11-2023-12744

Identifying key factors of the production function in agriculture allows better management of resources, promotes growth, and contributes to the development of effective economic policies. Thus, the objective of the study is to identify the key elements of the production function in agriculture, focusing on Algeria between 2000 and 2022. In order to achieve that, the Cobb-Douglass functional form is used. Also, the assessment of factor elasticities is carried out using multiple regression models. The study shows that agricultural production in Algeria depends on several factors. The multiple regression's final results indicate that the factors relating to the following account for 76% of the total agricultural production: employment, number of machines, agricultural budget, imports, foreign direct investment and renewable energy consumption. The variables used in the final model are significant at the 1% and 5% thresholds. When analysing the elasticities of selected factors, the study found increasing returns of scale during the analysis period.