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 (2026)
07 May 2026 (Vol - 57 , Issue- 05 )
31 May 2026 (Vol - 57 , 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
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering
MAIZE FARMER’S APPREHENSION ABOUT DIFFERENT MANAGEMENT PRACTICES ON MAIZE CULTIVATION IN NABARANGPUR, ODISHA
The current demand driven cultivation practices required a multipurpose crop like maize that is used for various purposes including food, feed, fodder, green cobs, sweet corn, popcorn, starch and several industrial products. A study was conducted with 90 farmers from nine villages of three blocks of Nabrangpur district revealed that the respondents have better knowledge on summer ploughing and cleaning of crop residue and stalks and FYM application are some basic activities of land preparation so that are well known to the farmers. Application of chemicals, preparation of furrows for water application like pre-sowing activities are not known to the maize farmers. The farmers have adequate knowledge about irrigation system provided during critical stages of growth which are emergence stage, weaning, initiation of ears, tassel visible, female flowering grain abortion limit stage and doughy grain stage are more prone to moisture stress. All the socio-economic attributes of the respondents except family size have significant and influence the knowledge level of the maize farmers.
Mortality Pattern of Ramnad White Sheep maintained at TANUVAS, RREC, Pudukkottai.
Mortality pattern in Ramnad White Sheep was studied for the period from 2014-16. The mortality rate was 14.5% in young stock and 3.09 % in adult. Among the systemic causes diseases of the respiratory system disorders affects (50%) in young stock and 100% in Adult stock followed by general systemic disease 25% in young stock whereas alimentary system affects the 16.66% in young and hepatic system affects 8.33% in young stock. The mortality rate was higher during north-east monsoon(50%) followed by winter (33.33%), Summer (16.66 %).
IMPACT OF TRANSFER OF INTEGRATED CROP MANAGEMENT TECHNOLOGIES DEVELOPED BY M.P.K.V., RAHURI ON COTTON FARMERS
This article used the primary data collected to examine the impact of transfer of integrated crop management technologies on the productivity and welfare of beneficiary cotton farmers. Results shown that the program is effective in improving the productivity and welfare outcomes of beneficiary farmers. The difference in labour needs of beneficiary and non-beneficiary farmers indicates that the program is marginally more cost-effective. Overall, the results revealed that the knowledge level and average productivity of beneficiary farmers are higher than those of non-beneficiary farmers, which is why the effect of transferring integrated crop management techniques to farmers is desirable.
Application of Drone Technology, ICT, GPS, IoT and AI in smart farming – A Review
Drone technology an advanced image data analytics with the capabilities it provides have the potential to become important parts of the technology mix that could fill the gap between current agricultural production and the needs of the future. The technology was first implemented in Japan in the 1980s when unmanned helicopters equipped with spraying equipment and pesticides tanks were used to spray crop fields. Typical modern day spraying drones have tank capacity of over ten litres of liquid pesticide with discharge rate of over a litre a minute, allowing them to cover a hectare in ten minutes. Smart Farming is an emerging concept that refers to managing farms using modern Information and Communication Technologies to increase the quantity and quality of products while optimizing the human labor required is a modern farming concept that looks into the use of technology to improve agricultural production while at the same time lowering the inputs significantly. Smart farming runs on the principles of precision farming such as the use of GPS guidance in the application of measures that are site-specific. Minimized or site-specific application of inputs, such as fertilizers and pesticides, in precision agriculture systems will mitigate leaching problems as well as the emission of greenhouse gases. Agriculture is undergoing a fourth revolution triggered by the exponentially increasing use of Information and communication Technology (ICT) in agriculture. In IoT-based smart farming, a system is built for monitoring the crop field with the help of sensors (light, humidity, temperature, soil moisture, etc.) and automating the irrigation system. The industry is turning to Artificial Intelligence technologies to help yield healthier crops, control pests, monitor soil, and growing conditions, organize data for farmers, help with the workload, and improve a wide range of agriculture-related tasks in the entire food supply chain. IoT based remote sensing utilizes sensors placed along the farms like weather stations for gathering data which is transmitted to analytical tool for analysis.
Unveiling the Yield Impact of Minor Millets in Tamil Nadu
The present study was undertaken to assess area and yield interaction of minor millets in Tamil Nadu. Data was consolidated for 20 years from 2002 – 2021. The linear, quadratic and exponential functions were fitted in order to analyze the angle of inclination in area, production and productivity of millets in Tamil Nadu. The results revealed that the ‘c’ value in quadratic functional forms for production and productivity are positive and significant for the total millets in Tamil Nadu but negative and non-significant for area coverage. Growing of millet crops is not risky as the CV of area, production and productivity of millet crops was found to be less than 0.438. It was found from the study that there is an increased production due to adoption of improved varieties of millets and recommended package of practices developed by Tamil Nadu Agricultural University.