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)
30 Jun 2026 (Vol - 57 , Issue- 07 )
31 Jul 2026 (Vol - 57 , Issue 07 )
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
Mechanical transplanting of rice for reducing water, energy, and labor footprints with improved rice yields in the Tropics
Traditional rice transplanting is water, energy, labor, and capital-intensive, causing sustainability challenges like diminishing subsurface water table, soil health, and escalating greenhouse gas emissions that contribute to global warming. Labor shortages during transplanting occur due to agricultural workers moving to cities for better pay. Low plant density under the traditional transplanting method forces farmers to use more inputs viz. fertilizers and pesticides, which raises cultivation costs and lowers grain output. Under these conditions, rice transplanting must be cheap and labor-saving without compromising potential grain yield. Mechanical transplanting of rice (MTR) improves crop production and ensures timely transplanting. Mechanical rice transplanting is profitable and simple. Due to high initial investment and low awareness of growing mat-type nurseries, field acceptance is low despite its superiority over conventional transplanting. Technical talent, timely availability, and tailored employment may help farmers adopt mechanized transplanting. MTR is a promising, sustainable, and climate-smart technique to promptly transplant rice seedlings in texturally dissimilar soils, which reduced the labor and energy footprints with reduced greenhouse emissions, and higher rice land productivity, profitability, and sustainability. This review examined the pros and cons of mechanical transplanting on rice productivity and profitability after identifying the gaps that need to be filled for its better adoption.
Implementation of Smart Farming and intimation system through SMS using RASPBERRY PI and TELEGRAM
In this paper, we discuss about how to use a Telegram bot for smart farming on our farmland. As technology advances, the world becomes smarter, and new technologies are created on a daily basis. There are other options to automate smart agriculture, including web servers and websites, but we are currently experimenting with the telegraph app, which is available on both Windows and Android smartphones. The suggested system's capacity to track temperature, humidity, and wetness using sensors and NodeMCU is one of its features. It can do this while also sending SMS alerts and notifying the farmer's smartphone app about the situation. We will install a programme on the Raspberry Pi that allows us to access or manage devices located anywhere in the globe. The Raspberry Pi 3 board is being used to execute the smart automation, although other microcontrollers can also be used to accomplish this. It has a DC motor, moisture sensor, temperature sensor, and humidity sensor. This system begins to measure the level of moisture and humidity. The sensors are used to detect the water level, and if it falls below a certain threshold, the system immediately begins watering. This helps to prevent manual error and reduces the amount of labour required to manually swap the devices. The idea's objective is to increase farmer procurement in the agricultural industry by decreasing human participation.
Impact of Declining Human Labour on Farming Sector and Farmers Strategies to Cope Labour Scarcity
The present study was undertaken in Thanjavur District of Tamil Nadu State to assess the impact of declining labours in agricultural sector. In the study 120 farmers and 120 waged labours were interviewed to find the dynamics of labour supply and farmers strategies to cope labour shortage. The wage had increase to an extent of five times in Tamil Nadu in past fifteen years and the compound growth rate of the wage for the male labour was 13.96 per cent and 12.89 per cent per annum for female labour in Tamil Nadu. The low wages, increasing money requirement for consumption, indebtness, unemployment during off season, more drudgery etc., were the major reason for not preferring farm works. It was found that 33 per cent of effective working hours have been reduced. The farmers mitigate labour scarcity by machineries for transplanting, weeding and harvesting etc., and 8.33 per cent of the sample farmers have changed the cropping pattern and moved towards less labour intensive crop like coconut. The Markov Chain analysis revealed that the probability of retention of paddy crop is only 69 per cent and lose 11 per cent of paddy area to coconut. The labour scarcity ultimately leads an unrecoverable impact on the crop production and farmers respond to it by mitigating through machinery and changes in cropping pattern. As it is inevitable to have a structural shift in the profession by the general population during economic progress, accordingly the alternate mitigation strategies have to be carved to continue the farming business.
Economic Analysis of Marketing Margins of Roadside Marketers of Agricultural Produce along Major Highways in Osun State, Nigeria
The study carried out the economic analysis of marketing margins of roadside marketers of agricultural produce along major highways in Osun State. It also sought to determine the factors that affect their gross margins. A total of one hundred forty (140) roadside marketers' primary data were gathered utilising a pre-tested interview schedule that was given to each of thirty-five (35) respondents in four distinct locations. Descriptive statistics, gross margin model, and multiple regression model were used to analyse the data collected. The majority of roadside marketers (85.7%) were under 50, married (87.9%), had at least a primary school education (85%), and had less than 10 years of marketing experience (56.4%), according to the research. The roadside marketers were selling commodities which included palm oil, yam, plantain, cocoyam, banana, pineapple, snails, honey and others with the dominant commodities being plantain (77.1%), yam (64.3%) and palm oil (56.4%). The average gross margin of the roadside marketers was estimated at ₦25, 312.90 per month The coefficients of age, educational level and the starting capital of the roadside marketers were found to be significant at 5% (P<0.05) and had the expected signs while the coefficients of the total sales, purchase cost and consumer price were significant at 1% (P<0.01) level of probability and also had the expected signs. Roadside marketing is profitable, according to the study's findings, and it is advised that this strategy be investigated and updated by the Nigerian policymakers.
Evaluation of Genetic diversity in pigeonpea (Cajanus cajan) germplasm using Principal Component Analysis
Principal component analysis was performed to determine the pattern of genetic diversity in 45 redgram genotypes using nine morphological and phenological characters. The largest variation was observed for seed yield per plant with coefficient of variation of 76.65% followed by number of pods per plant (74.98), number of branches (30.27) and plant height (26.93). The least variation was observed in days to maturity with coefficient of variation of 11.17%. Principal component analysis extracted three components contributing to around 76.55% of total variability among nine characters. Principal component 1 had the contribution from the traits such as days to 50 % flowering, plant height, seed yield per plant and number of pods per plant which accounted to 36.47 % of the total variability. The principal component 2 explained 24.36 % of total variability from number of seeds per pod, pod length, number of branches and 100 seed weight. Number of pod per plant, days to maturity and seed yield per plant had contributed 15.72% of total variability in principal component 3. Thus the results of principal component analysis used in the study had revealed the high level of genetic variation and the traits controlling for the variation were identified. Hence, these entries can be utilized for trait improvement in breeding programs for the traits contributing for major variation. Correlation analysis revealed that Number of pods per plant had highly significant and positive association with seed yield per plant. Cluster analysis depicted two clusters and identified the groups of cultivars those were more closely related.