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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. Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology Zhenkong Kexue yu Jishu Xuebao/Journal of Vacuum Science and Technology Wuhan Ligong Daxue Xuebao (Jiaotong Kexue Yu Gongcheng Ban)/Journal of Wuhan University of Technology (Transportation Science and Engineering) Zhonghua yi shi za zhi (Beijing, China : 1980)

Submission Deadline
24 Mar 2023 (Vol - 54 , Issue- 03 )
Upcoming Publication
31 Mar 2023 (Vol - 54 , Issue 03 )

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

Influence of trickle irrigation and hydrogel on Kinnow mandarin (Citrus reticulate Blanco) under rainfed condition

Paper ID- AMA-06-07-2022-11519

Water scarcity is a major problem of less productivity and decline of citrus orchards in almost all region of the world. Drip/trickle irrigation is a recently suggested water saving technique in rainfed agriculture. The present studies emphasized the need to maintain the adequate moisture in the root zone of orchard through micro-irrigation system at proper irrigation scheduling and will improve the micro climate of the orchard ecosystem and drip irrigation seems to be only hope for raising the orchards under depleting water resources. Application of hydrogel with black polyethylene mulch significantly affecting the yield of ‘Kinnow’ mandarin (Citrus reticulate Blanco) plants in rainfed areas. The drip trickle irrigation 3 and 6 day intervals water supply along with different dose of hydrogel viz. 30, 60, 90 and 120 g of soil application with black polyethylene mulch in relation to water and nutrient composition of leaves and soil along with growth, yield and quality attributes of the plants. The higher plant growth with maximum fruit yield (0.0119-0.0102 t ha-1) was recorded with 3 days intervals water supply by drip trickle irrigation and 90 g hydrogel with black polyethylene mulch plants treatments. The analysis of plant leaf lower concentration nutrients (N, P, K, Ca and Mg) revealed that control treatments. The relative leaf water content (RLWC), leaf water concentration (LWC), total chlorophyll (TC) and Leaf area (LA) showed an increasing trend under two year experimentation. Fruit quality, attributes and Juice content (JC), Total soluble solids (TSS) and ascorbic acid (AA) revealed an increasing trend whereas Titratable acidity (TA) was reverse trend with application of treatments. Overall, these results reveal that 3 days drip/ trickle irrigation intervals and 90 g hydrogel with black polyethylene mulch could enact necessary water stress on ‘Kinnow’ mandarin plants of subtropical ecosystem improving their water productivity and fruit yield in water infrequent condition.

Research on the prediction method of Apple firmness based on sound signal ridge regression analysis

Paper ID- AMA-06-07-2022-11518

Firmness can be used as one of the important indexes to indicate the ripeness of apple, usually determined by acoustic signal detection nondestructively, for the high correlation between acoustic signal features and firmness. In this paper, acoustic signal features with high time correlation are selected as the independent variable of the model. The acoustic signal and quality of apple were measured, and then 32 time-dependent signal features were selected by MATLAB analysis data, and the firmness of apple was predicted by ridge regression model. Using this method, the accuracy of training set and verification set is 84.7and 82.4% respectively. The actual change of apple is consistent with the prediction trend. Because of its more characteristics and more accurate model, this method has better fault tolerance for data, reduces the environmental requirements for acoustic signal detection, and paves the way for the firmness prediction of other apple varieties.

Soil - site suitability assessment of Moridhal watershed in Dhemaji district of Assam, India using remote sensing and GIS techniques

Paper ID- AMA-06-07-2022-11517

Soil-site suitability assessment for crops forms an important component in land use planning of a watershed. The current study was carried out to evaluate the soil site suitability for major field and horticultural crops in flood prone Moridhal watershed in Dhemaji district of Assam of North East India. The study area was delineated using satellite data of Resourcet-2, LISS-4 in conjunction with Survey of India toposheets (1: 50,000) and, thereby, four physiographic units were delineated which include: upper piedmont plain, lower piedmont plain, alluvial plain and flood plain. Soil samples were collected from the various physiographic units of the study area and soil-site suitability for major field and horticultural crops were determined by comparing different land qualities along with climatic parameters following the criteria outlined by various authors. The study revealed that the soils were permanently unsuitable (N1) to moderately suitable (S2) for sali rice (winter rice), wheat, pea, mustard/rapeseed, sesame, potato, tomato, onion and coconut. The assessment of the soils of Moridhal watershed for soil site suitability divulged various limitations related to soil and climatic parameters. Major constraints identified in the watershed were high acidity, low organic carbon, coarse texture, excessive flooding, impeded drainage and low precipitation in early growth stage during Rabi season. However, some of these limitations related to soil fertility and acidity could be managed by adopting integrated soil fertility management practices. The soil site suitability index values of different crops were employed in a series of logical operations in GIS platform to generate soil-site suitability map. Such GIS based thematic and soil suitability maps could serve as ready reckoner for farmers, administrators and planners for better utilization of agricultural areas.

Optimization of cotton irrigation management for different climatic conditions using the CROPGRO-Cotton model

Paper ID- AMA-06-07-2022-11516

To study the feasibility of CROPGRO_cotton model in the optimization of cotton irrigation management under different climatic conditions, the empirical values corresponding to 25%, 50% and 75% of the empirical frequencies of precipitation were obtained by ranking the frequency fitness line of precipitation data during 20 years of cotton fertility at the experimental site, and then the years corresponding to three empirical frequencies were selected as typical years: 2015 (abundant water year), 2001 (flat water year), and 2006 (dry water year). By combining cotton fertility stages, irrigation frequency and irrigation amount, 21 irrigation regimes (T1~T21) were identified and simulated using the calibrated DSSAT model for cotton irrigation regimes under the three precipitation year types, and the results showed that under the best combination of irrigation usage, yield and water utilization, 2015 (abundant water year), 2001 (flat water year), and T20 irrigation management should be selected in 2006 (dry water year).Under the three typical years, the effect of temperature change on cotton yield and water utilization was investigated, and it was found that the increase of temperature would reduce cotton yield and water utilization, but a reasonable irrigation management would reduce the negative effect of climate change on cotton yield and water utilization, According to the simulation results under different situations, T20 irrigation management can minimize the yield variation range under temperature change, and has a high water utilization rate, which has good applicability.

Natural Farming in India: Rationale and Implications

Paper ID- AMA-05-07-2022-11515

The overuse of agrochemicals associated with increased input costs in agriculture has led to the emergence of an alternate method of farming in India known as Natural Farming (NF). NF is considered to be an agro ecology-based environment-friendly diversified farming system, which integrates crops, trees and livestock allowing functional biodiversity. It relies on four pillars- cow dung and urine-based inputs (beejamrit, ghanjeevamrit and jeevamrit), intercropping, mulching and whapasa (limited soil moisture). It encourages use of on-farm inputs and indigenous practices and reduces dependence on off-farm purchased inputs. NF has its roots in the state of Karnataka, and other states like Andhra Pradesh are trying to replicate this model. Mixed results have been reported from different states regarding its effect on the sustainability of agriculture and food security. Therefore, scientific validation of NF on a wide range of crops in diverse agro-climatic regions is required to draw some solid conclusions. Its implications on Indian agriculture in respect of national food security need to be studied as India will need 345 million tonnes (mt) of food grains by 2030 against the current level of 296 mt. This review delineates the growth and scope of NF in India and its effect on soil, plant and animal health.