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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. 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 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)

Submission Deadline
24 Mar 2023 (Vol - 54 , Issue- 03 )
Upcoming Publication
31 Mar 2023 (Vol - 54 , 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

Climate Variability Impact on Dam Inflow and Water Release Patterns: Relating to Crop Production in the Thamirabharani Basin

Paper ID- AMA-24-01-2023-11967

Climate variability caused by global warming affects the inflow, outflow, and water discharge in the dam and ultimately affecting the crop production. Water supplies are substantially impacted by climate change and hydrological conditions of different regions, particularly the river basins. The Papanasam dam had an inflow of 5114 to 9330 m3/s in normal rainfall years and 7491 to 9523 m3/s during the excess rainfall years. The water released during the normal and excess rainfall years ranged from 113 to 167 days. In Manimuthar dam, water release days varied from 133 to 144 days during excess years. In deficit years, the water release days ranged from 55 to 90 days. In the normal years, Manimuthar dam had an inflow of 4092 to 7413 m3/s, 6764 to 7822 m3/s in the excess years and 3621 to 4497 m3/s in the deficit years. To conclude that, the best rice-based cropping system under excess rainfall situation is rice –rice followed by rice-maize and rice-pearl millet. During deficit years, pulse crops perform better than other crops. In normal rainfall years, the performance of rice-based cropping system follows the order of rice-rice, rice-maize, rice-pearl millet, rice-sorghum and rice-pulses.


Paper ID- AMA-22-01-2023-11965

Flower chafer beetle is a damaging pest of pulse flowers. However, its occurrence on maize cob has not been reported in maize. In this study, infestation of flower chafer beetle on maize cob was reported incidentally from Bundelkhand region of India. The invasion of flower chafer beetle was recorded in farmer field from three districts (Jhansi, Datia, and Tikamgarh) of Bundelkhand region. The level of infestation recorded was 5-7 beetles per five plants on maize cob at the time of peak grain formation time. Adult beetles were found to feed vigorously on the maize grain. Important taxonomic characters of the flower chafer beetle found on maize were also recorded in this study. Maximum infestation was found in Pipra-Jhansi at a cob formation stage in maize while the minimum infestation was observed in maize cob at Daryankala – Tikamgarh. The local check showed minimum infestation as compared to single cross hybrids (DHM-121, DHM-117). The maximum yield was obtained from a single cross hybrid (DHM-121, DHM-117) and minimum yield from a local check. Regular monitoring of flower chafer beetle on maize should be carried out in order to assess its damage potential and to develop appropriate management practices.

Gaining wealth from crop wastages: A case of Herbal Colors from unsold raw vegetables

Paper ID- AMA-21-01-2023-11964

In 2016, the Government of India formed a Committee on Doubling Farmers Income to suggest ways and strategies to double farmers’ income in India within a period of five years. In 2018, the committee submitted its holistic report in fourteen volumes to the Government to address the issues in Indian Agriculture and to uplift its status from subsistence to an enterprise. Of several recommendations, the committee suggested promoting secondary agriculture i.e. raising a secondary economy in rural India which means rural enterprises. The committee strongly believed that secondary agriculture can not only augment farm household incomes, it can also create enormous employment opportunities in rural India. One of the secondary agriculture avenues suggested by the committee were those that utilize crop waste or residues and turn them into wealth. This paper presents the need, scope and opportunities for secondary agriculture in rural India highlighting the potential of waste to wealth generating enterprises. Taking an example of unsold vegetables, the study makes an attempt to present the annual profitability of such an enterprise. Results reveal that an unit of 30000 Kg production per annum has the potential of generating a Benefit Cost Ratio of 1.68 and 1200 mandays of annual employment.

Estiation of dry mass and nitrogen content for soybean using ground-based hyperspectral imagery

Paper ID- AMA-18-01-2023-11958

In this research, hyperspectral imagery was applied to analyze the dry mass and nitrogen content for black and soybeans depending on vegetation growth stages. There were significant differences in dry mass (R3 and R5 stages) and nitrogen content (R1 and R3 stages) between black and soybeans. Moreover, the reflectance of black bean was higher than that of soybean when the reflectance was compared to each other. In the result of each vegetation growth model, the precision and accuracy were variable not only depending on vegetation stages but also depending on the variety. The influence of vegetation stage and variety was compared with the precision and accuracy of models based on the several combinations of data. In the variety combination PLSR models, the precision and accuracy using black and soybeans was better than that of growth stage combination PLSR model. Although the accuracy was variable depending on growth stages, it was possible to explain more than 84% of dry mass and 82% of nitrogen content for black and soybeans using hyperspectral reflectance. This result might be helpful to reduce the production cost and increase the self-sufficiency of edible soybeans in order to improve the efficiency of soybean production.

Regional Rural Banks (RRBs) Potential towards Agriculture Finance: A Critical Study of the Performance of RRBs in India

Paper ID- AMA-15-01-2023-11955

An essential aspect of the financial inclusion strategy is the allocation of funds to the agriculture and rural development sector. Regional Rural Banks (RRBs) were established in 1975 to provide additional funding for farming and other rural industries. This article seeks to analyze RRBs' success in terms of their financial performance and their ability to financially support agricultural, microenterprise, and disadvantaged communities. In this piece, the analysis is split in two halves. Financial performance, priority sector performance, loans to weaker sectors, and agricultural financing were the initial four models used in the Data Envelopment Investigation (DEA) analysis of RRBs' effectiveness. The second step is to analyse the interplay between agriculture, microenterprise, disadvantaged areas, and non-performing assets to characterize RRBs' financial performance. The research found that RRBs were more helpful than banks in delivering financial services in the areas of agriculture financing and loans to economically vulnerable people. Research shows that lending for agricultural and microenterprise purposes has a large, positive effect on RRBs' bottom lines. The data, however, also shows that the weaker parts and non-performing assets have no statistically significant effect on financial performance. Findings from this study appear to show that RRBs were treated unfairly in comparison to traditional banks. More help is needed so that agriculture and rural loans can flourish.