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
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.
Clay Mineral Identification and Mapping Using the Airborne AVIRIS NG Hyperspectral Data in Nagarjuna Sagar Left Bank Canal area and Patancheru Area, Telangana, India
The study demonstrates the application of AVIRIS NG hyperspectral data to identify and map the dominant minerals of the Nagarjuna Sagar Left Bank Canal area and Patancheru area, Southern Telangana Zone, Telangana state, India. The individual AVIRIS NG Hyperspectral image strips were processed with ENVI 5.3 software geocoded, mosaicked and the data is subjected to MNF, performed PPI, n-D visualizer and classification (mapping) for secondary clay minerals was attempted using the Spectral Angle Mapper algorithm. Each mineral spectra have unique absorption value. Clay group (montmorillonite, kaolinite, illite) identified through AVIRIS-NG Hyperspectral remote sensing data, matched with USGS (standard spectral library) spectral library spectra. Using these pixels as end members, the classification of data for clay minerals is attempted and derived map of the clay minerals. Based on the spectral matching of sample points for smectite, kaolinite and illite, AVIRIS NG Hyperspectral image has been classified with SAM. Nagarjuna Sagar Left Bank Command area and Patancheru area, SAM classified image depicted that smectite> kaolinite >illite. The occurrence of these minerals was further confirmed by X-ray diffraction (XRD) analysis. The clay fraction of study area exhibited the characteristic peaks at smectite, kaolinite and illite/mica. Semi-quantitative analysis of clay minerals by means of X-ray diffraction also revealed that smectite was the dominant clay in both the study areas followed by kaolinite and illite/mica. The results of the study areas showed that spectral information data from the AVIRIS NG images can be used for generating the spectral reflectance of clay minerals and it can provide a cost effective method of identifying and mapping the clay minerals.
Assessment of Body Activity and Rumination Time for Early Detection of Heat Stress in Dairy Cows
Heat stress is a major challenge facing the dairy industry, negatively impacting cow health, milk production, and reproductive performance. Early detection of heat stress is critical for implementing timely mitigation strategies. This study evaluated the use of body activity and rumination time measured by HR-Tag sensors for early detection of heat stress in lactating Holstein cows. Cows (n=100) were housed in a free-stall barn and monitored during summer months. HR-Tag sensors measured body activity (bouts/hr) and rumination time (min/hr). Ambient temperature and humidity were recorded to calculate temperature-humidity index (THI). Mixed linear models analyzed relationships between THI and cow activity and rumination. As the temperature-humidity index (THI) increased, rumination time decreased significantly (r = -0.56, P < 0.001), while activity levels increased (r = 0.43, P < 0.05). Compared to normal conditions (THI < 68), cows under mild heat stress (68 ≤ THI < 72) spent an average of 31.59 minutes less per day ruminating (6.16% reduction) and exhibited a 5.1% increase in activity level. Under moderate heat stress (72 ≤ THI < 80), rumination time decreased by 59.55 minutes (11.42% reduction), and activity levels increased by 14.31%. Severe heat stress (THI ≥ 80) had the most pronounced effects, with cows spending 104.26 minutes less per day ruminating (20.35% reduction) and exhibiting a 24.26% increase in activity level compared to normal conditions. Automated monitoring of body activity and rumination time, especially in high producing cows, allows early detection of heat stress before reductions in milk yield and health issues arise. This enables producers to implement cooling and management changes proactively to mitigate negative impacts of heat stress.
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.
Role of Kangayam cattle towards the livelihood of the farmers of Western agro – climatic zone of Tamil Nadu.
The present study was conducted in Western agro – climatic zone of Tamil Nadu with an objective to study the role of Kangayam cattle towards the livelihood of the farmers. Snowball sampling technique was pursued to select 200 Kangayam cattle farmers as respondents for the study. The contribution of Kangayam cattle towards the livelihood of the farmers were ascertained using semi – structured interview schedule supported with informal discussion and non –participant observations and the data thus collected was analyzed by using appropriate statistical methods. Results revealed that majority of the respondents (69.00 per cent) earn income through sale of milk produced by their Kangayam cow, one - third of the respondents (33.00 per cent) did not utilize their Kangayam cattle for work purpose and all the respondents (100.00 per cent) earned income through sale of farm bred Kangayam cattle. Nearly one - half of the respondents (47.50 per cent) had an annual income between Rs.58, 001 to Rs.83, 000 from their Kangayam cattle and fell in medium category and one - half of the respondents’ family (44.50 per cent) had consumed medium quantity (1000 ml –1750 ml) of Kangayam cow milk thereby consuming medium quantity of milk protein (32.80 g – 57.40 g), milk fat (41.00 g – 71.75 g) and milk calcium (1200 mg – 2100 mg). With respect to quantity of farm yard manure obtained from the Kangayam cattle, more than one-half (50.50 per cent) of the respondents was found to be in low category with nutrient contribution of Kangayam cattle to the farm land (1.82 tons to 5.77 tons per year), quantity of Nitrogen (14.56 kg to 46.16 kg per year), quantity of Phosphorus (7.28 kg to 23.08 kg per year) and quantity of Potassium (29.12 kg to 92.32 kg per year. On an average 235.425 employment days were generated through rearing Kangayam cattle in a respondent’s family per annum. The Kangayam cattle played an important role in the livelihood of most of the respondents (81.50 per cent) as a means of security during the economic crisis conditions like crop failure, hospital expenditures, educational need, marriage, repayment of loans etc., either through draught power or sale of milk or through sale of cattle mainly male calves, bullocks / bulls in the local markets to generate income. Since, Kangayam cattle play an important role in the livelihood of farmers and substantially contributing to the household income, nutritional status, fertilising their agricultural field, satisfying their prestige and status and acts as a security measure during uncertainties. Hence, promoting Kangayam cattle farming as a viable economic enterprise not only improves the economic and social status but also improves the soil fertility and agricultural productivity.