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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.
WOS Indexed (2024)
05 Sep 2024 (Vol - 55 , Issue- 09 )
30 Sep 2024 (Vol - 55 , 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
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
Optimization and characterization with antioxidant potential of C-phycocyanin from subaerial cyanobacteria
The current study investigated an effective way to extract C-phycocyanin and evaluate its antioxidant potential from the sub-aerial cyanobacteria. Two cyanobacterial species were isolated and identified as Oculatella crustae-formantes and Desertifilum dzianensis in order to standardise and characterize the Phycocyanin production from subaerial cyanobacteria and its antioxidant Potential. The specific growth rate and doubling time of the isolates were calculated. Sodium phosphate buffer (pH 7, 50mM) was found to be the most efficient buffer for C-phycocyanin yield. Further, the BG-11 medium under LED fluorescent red tube light was discovered to be the best optimization condition for enhancing C-phycocyanin synthesis from the isolates. Spectrophotometry technique and Fourier Infra red technique were utilised for the C-PC characterization. Additionally, the purified C-phycocyanin was evaluated for antioxidant activities. In both cases, the IC50value of C-PC is found to be higher than the standards used. This indicates the significant potential of sub-aerial cyanobacteria to produce highly purified phycocyanin with notable antioxidant properties, suggesting potential applications in the food and pharmaceutical industries.
Numerical Simulation of Multi-point Forming Based on the Cubic Head
In the internet-based 'remote classroom', it is a challenging scientific problem to establish an evaluation correlation for the lecture-listening state between teacher and students based on video data of student classroom status. In this paper, a module was proposed firstly to identify and classify the classroom behaviors of students according to their 'facial posture angle' and 'body movement behavior' in 'remote classroom'. And then, a quantitative evaluation algorithm was proposed based on student facial gesture angle and behavior classification results to analyze quantitatively the student attentiveness. Finally, using evidence theory to carry out the data fusion for student facial gestures and behavioral classification results in parallel, an automatic assessment system model was established to analyze automatically the student on-line concentration in remote classroom. The results show that the proposed model can detect and analyze student listening behaviors, complete score quantitatively and output the evaluation results for student concentration. In concentration assessment experiments, the accuracy of the system can reach 90.4%, verifying the effectiveness of the system.
An Ethnobotanical Investigation Into The Traditional Use Of Therapeutic Plants In Ain Temouchent, North-West Algeria.
To investigate the use of therapeutic herbs in Ain Temouchent, (Algeria), we interviewed 150 residents 95 women (63%) and 55 men (37%) utilizing a survey that is semi-structured. Participants were randomly selected without prior appointments. We collected primary data on plant names, parts used, preparation methods, usage categories, and diseases treated. Statistical analysis was performed using Microsoft Excel 2016 for Windows, and quantitative analysis utilized the indices RFC, UV, and IFC. Our study identified 66 medicinal plants used for various ailments, encompassing 62 genera and 29 families. The most notable families are Asteraceae and Lamiaceae (15% each), and Apiaceae (14%). Mentha spicata L. (0.35) was the most frequently cited species, followed by Citrus limon (L) Burm.f., Thymus vulgaris L. (0.33 each), Eucalyptus globulus Labill. (0.32), and Lavandula stoechas L. (0.31). The most widely utilized plant parts are leaves, fruits, and aerial parts, with oral administration having the highest prevalent method. Decoction and infusion are the primary preparation techniques. Informants showed the highest consensus on the use of these plants for respiratory (0.74) and digestive (0.61) diseases.
Overview of the lichens of the Ouled Brahim region, Saida (Algeria).
Lichens are rather special living creatures belonging to the cryptogam phylum. In fact, a lichen is an original being resulting from a symbiosis between an alga and a fungus. The aim of our work is to carry out an inventory of the Ouled Brahim region (Saida). To do this, we used the [4] method, which consists of applying a transparent 20x50 cm survey grid to the bark of trees, starting one metre above the ground. This grid is cut into 10 cm2 squares. We collected 8 charts, four for each station (Mimouna and AinKsab). A total of two lichen genera were identified, presented by 4 different species.
FACTORS INFLUENCING OLIVE PRODUCTION FOR SUSTAINABLE DEVELOPMENT IN ARID ENVIRONMENTS OF ALGERIA
This study delves into uncovering the intricate correlations between diverse factors and olive production yields within the El Oued region, focusing on two distinct time frames : 2000 to 2010 and 2011 to 2021. Employing Pearson correlation coefficients as the analytical tool of choice, we explored the interrelationships between key variables namely, the average agricultural land area, land area specifically allocated for olive cultivation, quantities of utilized manure and fertilizer, average counts of temporary and permanent workers, and the average irrigated agricultural land area—against the backdrop of the average yield of olive cultivation. The outcomes of our investigation unveiled a spectrum of correlation strengths, encompassing both positive and negative associations, for each respective time period. These revelations underline the dynamic nature of the relationships between the examined factors and olive production yields, shedding light on potential influences shaping these agricultural outcomes. To unravel the complex interplay between these variables further, this study employed advanced statistical techniques. Multiple linear regression models were developed to tease apart the contributions of individual variables and their collective impact on olive yields. In parallel, a sophisticated random forest model was also harnessed, offering a comprehensive understanding of intricate interactions within the dataset. The culmination of our efforts yielded invaluable insights into the multifaceted determinants underpinning olive production within the El Oued region. By discerning the nuanced relationships between these factors and their cumulative effects on yields, our findings hold significant promise for enhancing agricultural practices and elevating productivity levels. This research contributes not only to the theoretical realm of agricultural science but also holds practical implications, potentially guiding future strategies to optimize olive cultivation in the El Oued region.