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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.



WOS Indexed (2026)
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Submission Deadline
07 May 2026 (Vol - 57 , Issue- 05 )
Upcoming Publication
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

CONSTRAINT ANALYSIS AND STRATEGIES FOR IMPROVEMENT OF TURMERIC ACREAGE IN MAHABUBABAD DISTRICT OF TELANGANA, INDIA

Paper ID- AMA-19-01-2026-13747

India leads the world in terms of turmeric production, consumption and exports. Turmeric farming is a key agricultural activity in certain parts of Mahabubabad district of Telangana, India. However, farmers in this area face constraints that hinder their productivity and economic stability. The present study aims to enhance the sustainability and profitability of turmeric farming in Mahabubabad district, ensuring a stable livelihood for the farmers. In the present study, specific challenges encountered by the turmeric farmers of Kesamudram and Nellikuduru mandals of Mahabubabad district were investigated, focusing on technical, economic, marketing, storage, and general constraints. Ex-post facto research design was employed where a proportionate random sampling technique was used to select 120 respondents from six villages i.e., three villages from each of the above selected mandals. An interview schedule was added as a data collection tool to strengthen the study, as it allows for a structured approach to gather information directly from the respondents, ensuring the reliability and validity of the findings. The data gathered were compiled and subjected to statistical analysis procedures like cumulative frequency method, percentage analysis and ranking method. The findings revealed that high fluctuations in market prices, pest and disease outbreaks, inadequate storage facilities and lack of technical guidance were the most critical issues. Economic challenges such as high input costs, difficulty in securing loans and insufficient subsidies further exacerbated the situation. Marketing constraints including poor infrastructure, transportation and absence of regulated markets often made farmers to resort to distress sales. Labour shortage further increased their burden. To address these challenges, strategies like promotion of integrated pest management (IPM) programmes, establishment of community based storage facilities and strengthening of farmer producing organizations (FPOs) and cooperatives were proposed to enhance farmers’ bargaining power. Additionally, introducing government-backed procurement systems with minimum support prices (MSP) and improving access to financial services are recommended as the solutions.

Integrated effect of sowing dates, planting methods and irrigation on growth, water use and productivity of wheat

Paper ID- AMA-16-01-2026-13743

A field experiment with three sowing dates (D1-November 5th, D2-November 15th and D3-November 25th) in the main plot and ten treatments in sub plots (control (flat planting (FP) with 100 per cent irrigation (I1)) along with combination of three bed widths (37.5 (BP1), 75 (BP2) and 112.5 cm (BP3)) and three irrigation levels (80 (I2), 60 (I3) and 40 (I4) per cent of I1) was conducted during the rabi 2019-20 and 2020-21 in split plot design with three replications. During both seasons, D1 recorded significantly higher plant height, leaf area index, dry matter accumulation, grain yield, straw yield and water productivity of wheat compared to D2 and D3. Wheat evapotranspiration (ET) of was at par in D1 and D2 but significantly higher than D3. Evapotranspiration was at par in FPI1, BP1I2, BP2I2 and BP3I2 but significantly higher than BP1I3, BP1I4, BP2I3, BP2I4, BP3I3 and BP3I4. Plant growth parameters, grain and straw yield was at par in FPI1, BP2I2 and BP1I2 but significantly higher than BP3I3 indicating 20 per cent water saving. At all irrigation levels, BP2 showed maximum yield followed by BP1 and BP3. Crop water productivity was at par in BP2I2, FPI1, BP1I2 and BP3I2 but significantly higher than BP1I4, BP2I4 and BP3I4. Harvest index was significantly higher in early sowing and in deficit irrigation regimes.

Life Cycle Assessment of the Farm-to-Retail Carbon Footprint of Crossandra (Crossandra undulaefolia Salisb.) in Karnataka, India

Paper ID- AMA-14-01-2026-13741

This study evaluates the farm-to-retail carbon footprint of Crossandra (Crossandra undulaefolia Salisb.) production in Karnataka, India, based on primary data collected from 260 farmers during 2024–25. A Life Cycle Assessment (LCA) framework was applied to estimate stage-wise greenhouse gas (GHG) emissions (kg CO₂e) associated with cultivation, post-harvest handling, transportation, and retail operations. The results show that irrigation is the predominant source of emissions, contributing 96.34% (4,243,508.17 kg CO₂e) of total emissions, mainly due to electricity-intensive groundwater pumping from deep borewells. Fertilizer application accounts for 2.22% (97,850.12 kg CO₂e) of total emissions, while packaging contributes 1.42% (62,559.08 kg CO₂e). Emissions from pesticide use, transportation, and retail electricity are negligible, reflecting localized marketing systems with limited cold-chain infrastructure and short transport distances. The average carbon emission intensity is estimated at 64.51 kg CO₂e per kg of flowers, with wide variability across farms (1.23–235.52 kg CO₂e/kg), driven primarily by differences in irrigation practices and input use intensity. The study provides stage-wise evidence to support informed decision-making by policymakers, extension agencies, and supply-chain stakeholders aimed at reducing the carbon footprint of floriculture while sustaining farmer profitability.

Technological Advances in Weed Management for Sustainable Crop Production

Paper ID- AMA-08-01-2026-13737

Globally, weeds are the major obstacle to sustainable crop production, resulting in lower yields, higher labour and chemical input costs, and environmental damage from overuse of herbicides and the ensuing resistance. Rapid developments in robots, artificial intelligence (AI), sensor technology, precision agriculture, and creative non-chemical techniques over the past ten years have opened up new avenues for integrated weed management (IWM). Deep learning-based weed/crop classification, unmanned aerial vehicle (UAV) and hyperspectral imaging, ground robotic weeders, Harvest Weed Seed Control (HWSC), and innovative thermal, laser, steam, and electrical spot treatments are just a few of the recent technological advancements in weed detection, removal, and resistance mitigation that are highlighted in this review. Particularly for large-scale and smallholder systems, we evaluate their efficacy, constraints, cost-benefit factors, and adoption paths. Additionally, we present a flowchart and decision framework for selecting suitable weed management technologies based on crop type, weed species, farm size, and economic, regulatory, and environmental constraints. Finally, we identify research gaps and future directions necessary to ensure these technologies contribute to sustainable weed control, reduced herbicide reliance, and biodiversity conservation.

DYNAMICS OF CARBON POOLS IN DIFFERENT RICE ESTABLISHMENT METHODS

Paper ID- AMA-07-01-2026-13734

Rice yield and productivity enhancement is a consequence of increased soil carbon. Rice yield and productivity enhancement is a consequence of increased soil carbon which has an important social and economic bearing on the livelihood of people. Soil carbon plays a pivotal role in sustaining rice productivity and ecological stability. Indicators of soil quality are derived from the labile pools of soil organic carbon. Rising awareness and alarm over increasing atmospheric CO2 levels impacting renewed interest regarding the sink potential of soil organic carbon (SOC). Carbon sequestration in agricultural soils has three situations i.e. potential, attainable and actual. The research was designed in a Randomized Block Design (RBD), arranged in three replications and treatments included the growing environment of rice which is transplanted, puddled rice. And three replications and four treatments (Control, TP, SRI and DSR) for the field A3(a) & for B7(a) field. Hyderabad’s climate is tropical characterized by dry, hot summers and mild winters. Investigation entitled “Studies on carbon pools and stocks under different rice establishment methods” was conducted during Kharif season of 2024. The different C fractions were estimated through a modified Walkley and Black method as described. The results of the present study revealed that the soil organic carbon content in soil across the different soil depths studied (0-20, 20-40 and 40-60 cm) varied from 0.22 to 0.46%. Among them, non- significantly increased soil organic carbon in soil (0.46%) was observed with System of rice Intensification method followed by Direct seeded rice method (0.45%) and Transplanted Rice (TP) method (0.45%) compared to control (0.42%) at (0-20 cm) soil depth. The results of the present study revealed that the non-labile carbon content in soil across the different soil depths studied (0-20, 20-40 and 40-60 cm) varied from 0.07 to 0.56%. Among them, significantly higher value of non-labile carbon in soil (0.54%) with SRI and DSR methods compared to TP method (0.14) at (0-20 cm) soil depth. Significantly increased the non-labile carbon content in soil with SRI (0.50%), compared to control (0.12%) at (20-40 cm) soil depth. Significantly increased the non-labile carbon content in soil with DSR method (0.56%), compared to TP method (0.07%) at (40-60 cm) soil depths.