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 (2025)
07 Dec 2025 (Vol - 56 , Issue- 12 )
31 Dec 2025 (Vol - 56 , Issue 12 )
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
Distribution and tenancy relationship of operational land holding in different Agro-climatic Regions of Rajasthan
Land use is complex phenomenon technological change, climatic changes influences land use changes over time period. Rajasthan, the largest state in geography and varied climatic factors makes it important to understand the land use across the state. Present study aimed at understanding the distribution of operational land holding, tenancy relations and inequality in distribution with special reference to ten agro-climatic regions of the Rajasthan state. Various inequality indecies such as Gini coefficient, theil’s index and Atkinson’s index were used to measure inequality distribution. Secondary data collected since after the implementation of second land policy (1973 till 2015) for studying the tenancy status and data from 1995-96 was used for studying the inequality distribution of land. Study reported that Rajasthan's operational holdings increased from 3726.54 thousand number in 1970-71 to 7654.61 thousand number in 2015-16. The operating area has also been increased slightly, from 20340.54 thousand hectares in 1970-71 to 20735.72 thousand hectares in 2015-16. The results of the Gini coefficient, Atkinson's index, and Theil index indicated that land distribution inequality has decreased in Rajasthan over time.
Constraints in Utilization of Market-led Extension Practices by Vegetable Growers of Odisha
India is the largest producer of vegetables in the world after China. The market-led extension is the market orientation of agriculture through extension, with a blend of economics, which aids in reaching the doorsteps of the farming community with the help of appropriate technologies. The present study was conducted to analyze the constraints faced by the vegetable growers in utilising market-led extension practices in terms of Production, Marketing, and Extension Constraints. Ex-post-facto research design was used for carrying out the study. The study was conducted considering two Districts, namely: Cuttack from Higher Production Potential Districts (HPPD) and Puri from Lower Production Potential Districts (LPPD). The sample for the study was 240. The Garrett ranking technique was used to rank and analyze the constraints in utilising market-led extension practices as perceived by the vegetable Growers. The top most important production constraint was the unavailability of required inputs at required time. Lack of remunerative Price was a major marketing constraint in the Study area. The major extension constraint was the lack of follow-up activities by extension personnel. These findings will be helpful to the Government in formulating a location-specific policy framework and relevant guidelines for promoting vegetable Growers.
Identification of Climate Change Adaptation Strategies and Factors Influencing the Choice of the Strategies in the Temperate Region of Himachal Pradesh
Climate change poses a significant threat to the agricultural development in developing countries, where the majority of the population relies on natural-resource-based livelihoods. Further, it also put negative impact on community socio-economic status, quashes progress toward development goals, and poses a general threat to long-term development. In this regard, effective adaptations strategies are crucial for sustainable agriculture and water resources development. Therefore, present study was conducted to identify the climate change adaptation strategies and factors affecting choices of strategies in temperate region of Himachal Pradesh. Multistage random sampling technique was used for the selection of sample of 312 farmers for the collection of primary data. The results revealed that average family size was 5.46 persons and literacy rate was found to be 94.10 per cent in the temperate region. Agriculture was found to be the most common occupation in the study area with 76.44 per cent of sampled farmers engaged in it. Further, it is reported that optimal crop switching, change in cropping calendar, improvement in irrigation practices and crop diversification are the major adaptation strategies adopted by the farmers in the temperate region to mitigate the impact of climate change. However, farmers’ ability to adapt to climate change has been challenged by numerous barriers and high cost of adaptation, lack of access to improved varieties and technologies and limited knowledge on adaptation measures are the main barriers affecting the adaptation measures to climate change in the temperate region.
Assessment of Temperature Impact on Wheat Varieties using Info Crop Model
The present experiment was conducted at Research farm of Rajasthan Agricultural Research Institute, Sri Karan Narendra Agriculture University, Durgapura, Jobner, Rajasthan during Rabi season 2016-17 and 2017-18 using double split plot design with three replications consisting thirty-six treatment combinations, namely, main plots: irrigation levels (0.6 Etc, 0.8 Etc, 1.0 ETc and 1.2 ETc), sub plots: varieties (Raj 4120, Raj 4079 and Raj 4238) and sub-sub plots: Dates of sowing (15th Nov., 30th Nov. and 15th Dec.) treatments. The Results revealed that Info Crop model was calibrated and validated with experimental data of three wheat cultivars (Raj 4120, Raj 4079 and Raj 4238) under different dates of sowing and irrigation scheduling. The model performance was evaluated using average error (Bias), root mean square error (RMSE) Normalized RMSE (nRMSE) and index of agreement (d) and it was observed that there is a good agreement between simulated and measured durations. Based on these results it can be concluded that the model was very accurate in predicting the growth parameters like leaf area index, biomass production and yield and captured the temporal patterns of yield variability reasonably well when compared to observed field data with good accuracy (error % between10-20). It is concluded that the Info Crop model is suitable option to predict wheat yield under semi-arid conditions of Rajasthan.
Economic impact of climate change on apple in high hills of Himachal Pradesh: Ricardian approach
Horticulture is a vibrant sector of agriculture, distinguished by scale of production, commercialization and emerged as an important source of earning livelihood for small and marginal scale farmers. The knowledge about the impact of climate change on horticultural crops is limited and increasing temperatures and changing weather conditions have harmed apple production, causing serious concern in the state, further forcing apple farmers to switch towards other crops. Therefore, the present study was conducted in high hills of Himachal Pradesh to assess the economic impact of changing climatic scenario on apple cultivation. The study found that the net revenue from apple cultivation was Rs 1.73 lakh, with 11.53 per cent variation in the study area. The results of the ricardian approach reported that the positive quadratic coefficient for minimum temperature and annual rainfall implied that either more or less both climatic variables will increase the net revenue from apple. On the other hand, the negative quadratic coefficient of maximum temperature indicated that there is an optimal maximum temperature level after which net revenue decreases in both directions. Minimum temperature and annual rainfall increased net revenue by Rs 728.56 and Rs 520.08 per 10Celsius increase in minimum temperature and 1 cm increase in annual rainfall, respectively, whereas maximum temperature decreased net revenue by Rs 925.86 per 10Celsius increase in maximum temperature for apple in high hills of Himachal Pradesh.