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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. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology Research Journal of Chemistry and Environment

Submission Deadline
26 Jun 2024 (Vol - 55 , Issue- 06 )
Upcoming Publication
30 Jun 2024 (Vol - 55 , Issue 06 )

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


Paper ID- AMA-25-02-2023-12055

Barnyard millet is a nutritious, small millet crop grown in rainfed condition, consumed just like rice. Reducing the duration for maturity is an important breeding objective and assessing the phenotypic diversity help in identifying those genotypes with desirable traits. Twenty-seven genotypes were subjected to D2 analysis which revealed the presence of eight different clusters. Cluster I had the maximum number of genotypes. Cluster II had five genotypes, cluster III had three genotypes and in cluster IV, V, VI, VII and VIII with one genotype each. Early maturing germplasm were in cluster III and the check MDU1 was in separate cluster VII. The percentage contribution of the traits towards divergence was maximum by grain yield/plant followed by plant height and net by days to maturity. Stability analysis of these genotypes in three different environments revealed the stable genotypes with high mean were ACM BM-20-019 and MDU1. E2 was the least interactive environment. Using What- Won- Where biplot, the three test environments were divided into two mega environments. In light of this, the genotype ACM BM-20-016 performs well in mega environment 1 (E1), while the genotypes ACM BM-20-019, MDU 1, and ACM BM-20-012 perform similarly in mega environment 2. (E2 and E3).

Effect of post harvest factors on storage of cauliflower

Paper ID- AMA-25-02-2023-12054

Studies were conducted to determine whether the biochemical and microbiological quality of the cauliflower had altered while it was stored at temperatures between 2 and 12 degrees Celsius for three weeks. In contrast to untreated packaging, proper packaging of cauliflower preserved the pure quality of the phenolic content, which was drastically reduced during the irrespective treatment and packaging of the cauliflower. Ferulic acid, Chlorogenic acid, Gallic acid, and Catechin contents were among the phenolic compounds present in cauliflower. Frequently, mesophilic aerobes are more prevalent in broccoli. Carbon dioxide-built up microflora that was reduced during storage conditions. In LDPE bags that has an anti-microbial effect to decrease the microflora on the packaging material.

Finger Millet cultivation in association with Eucalyptus field bund plantation

Paper ID- AMA-25-02-2023-12052

Eucalyptus acceptance in agroforestry is also based on its high timber value; the wood of eucalyptus is utilized in pulp, paper, Plywood and in packaging industry and any kind of construction work. Investigations of the interactions between trees and crops in traditional agroforestry studies in village muliaput, Durkaguda and Luhaba, District Koraput, Odisha, showed that the growth parameters of Eucalyptus decreased under the shade of Eucalyptus. Plant height found minimum at under the shade of Eucalyptus i.e., (56.63 cm, 102 cm, 111.91 cm) in 30 DAT, 60 DAT, 90 DAT and the control was maximum (65.7 cm, 105.36 cm and 118.47 cm) in 30 DAT, 60 DAT, 90 DAT. Number of effective tillers per meter of row length at harvest was found maximum (27.03) at control and minimum (23.56) at under the shade of Eucalyptus. Number of fingers per ear head at harvest was significantly highest in control (7.46) i.e. control condition and lowest in under shade of Eucalyptus (6.28). Length of finger at harvest was found maximum (7.12 cm) at control and minimum (5.72 cm) at under the shade of Eucalyptus. The grain yield (2438 kg ha-1 & straw yield (7011 kg ha-1) significantly highest at control and lowest grain yield (2313 kg ha-1) & straw yield (6365 kg ha-1) under the shade of Eucalyptus because the plant species under the agroforestry system depends on the same supply of growth and development resources, such as light, water, nutrients and thus the performance of the other components as well as the system as a whole will impact one component of the system. It is reasonable to believe that the decline may be related to the reduced availability of light together along with competition. But On the other way Eucalyptus tree gives extra income to the farmers after harvesting the tree crop.


Paper ID- AMA-24-02-2023-12050

The leaf quality characters were studied in thirteen mulberry accessions viz., ME-27, Srinagar local, C-776, Karanahalli, MI-79, Morus indica, SB-21, V-1, S-30, ME-144, MI-139, MI-506 and TB-21. V-1 was taken as control. The moisture content (76.05%), moisture retention capacity (MRC) after 3 hours (75.88%), 6 h (72.85%), 9 h (69.75%), and 24 h (61.26%) were significantly maximum in TB-21. MRC after 12 h (66.86%) was higher in V-1. The moisture content and MRC were minimum in MI-506 and Srinagar local. The biochemical analysis of leaves reveled that total nitrogen, crude protein, protein, total amino acids, starch, sugar, total carbohydrates, total chlorophyll content were found to be high in TB-21, ME-27 and MI-79, whereas they were low in Srinagar local and C-776. Crude fibre was higher in ME-17 and ME-144. Total ash was higher in TB-21 and MI-79. Hence, TB-21, ME-27 and MI-79 can be further evaluated in preliminary yield trial for growth, yield and silkworm rearing performance.

An accelerated testing model for the Analysis of Progressive Hybrid Censored Simulated Competing Factors Agricultural Data based on constant stress

Paper ID- AMA-23-02-2023-12049

Risk has always existed in agriculture. Every day, farmers take risks and make decisions that have an influence on their farming operations. The weather can change, there can be a crop failure, crop production price levels can drop, contracted workforce might not be available when it's most needed, machinery and tools can fail when it's most crucial and national policy can change in an instant. These are just a few of the numerous factors that can affect farmer decisions. Each of these risks has an effect on how profitable their farm is. To ensure that the finished product meets industry and consumer standards, precise dependability indicators must be established early in the development cycle. One such metric is the product's long-term failure rate, which is sometimes expressed as mean time before failure (MTBF). The MBTF for extremely reliable industrial systems is far greater than the period used to demonstrate this metric in a lab setting under real-world field usage conditions. Increasing the test failure rate is generally desirable and practical, but it can be somewhat useful on occasion. ALT involves stress testing a product under conditions that are more demanding than typical field usage conditions in order to accelerate the failure-discovery process. In this research, we have explored a new step stress competitive life model using a type-I progressive hybrid censoring technique. The Rayleigh distribution is assumed to be followed by the items' failure lifespan. The acceleration factor and distributional parameters are determined via the maximum likelihood estimation technique. The interval estimates are also obtained for the same circumstance. The validity of the model has been examined using simulated data.