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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

Prediction of Artificial Neural Network (ANN) in the optimization of quality attributes in heat pump-assisted dehumidified air-dried (HPD) Moringa oleifera by Principal Component Analysis (PCA)

Paper ID- AMA-01-08-2022-11578

Moringa oleifera (M. Oleifera) is a storehouse of essential nutrients like protein, fibre, vitamins, minerals, and phytochemicals. The moringa leaves can be consumed in cooked form or supplemented as a fine powder in processed food products. The conventional drying process takes more time and energy and that will affect the organoleptic property, product quality and safety. Hence, the study aims to apply advanced techniques like heat pump-assisted dehumidified air drying (HPD), running effectively and efficiently to achieve higher retention of nutritional properties. To develop a predictive model Artificial Neural Network (ANN) was chosen as a tool for drying at temperature and drying time varied at three levels. For this, The output variables of crude protein (%), crude fibre (%), and colour values (L*, a* and b*) as an input of drying temperature (45 to 65 °C) and drying time (45 to 75 minutes). Physicochemical and drying characteristics of moringa leaf were highly found at 55⁰C with special reference to maximum powder recovery, excellent flowability and better retention of nutrients like crude protein (29.64 %) and crude fibre (16.37 %). The values of coefficient of determination (R2 - 0.969 to 0.998), Root mean square error (RMSE - 0.02685 to 0.13541), Mean Absolute Error (MAE - 0.00912 to 0.0946) and Mean Absolute Percentage Error (MAPE - 0.04768 to 0.34129) were used to determine the potential and sensitivity analysis of training function and hidden layer for each response variable for their prediction with the highest accuracy.

Molecular Diversity Analysis among Alternaria brassicae Isolates from Different Locations of Madhya Pradesh

Paper ID- AMA-31-07-2022-11577

Alternaria blight incited by Alternaria brassicae (Berk.) Sacc. is wide range fungal pathogen that can infect the foliar and seed borne pathogen in crucifers. Molecular Diversity of Alternaria brassicae populations were fundamental to the understanding of epidemiology, host– pathogen interaction and resistance management. The present study was aimed to reveal genetic variability among 20 isolates of the Alternaria brassicae isolates collected from the state of Madhya Pradesh, by using Random Amplified Polymorphic DNA (RAPD) molecular markers. A total of 174 reproducible and scorable bands ranging from 100-3000 bp (base pair) were generated for all twenty A. brassicae isolates with 20 RAPD primers. The highest numbers of bands (15) were produced by primer OPE-03 while, lowest numbers of bands (4) were produced by primer OPA-13. The numbers of polymorphic bands produced were maximum (14) with the primers OPU-03 while minimum (1) with primers OPA-13 and OPA-19. On the basis of RAPD data the total percentage of polymorphism was 78.36% among all the isolates. RAPD marker based dendrogram categorised twenty A. brassiace isolates into two groups.

APPLE PRICE FORECASTING USING DIFFERENT TIME SERIES MODELS FOR SOLAN MARKET, HP, INDIA

Paper ID- AMA-30-07-2022-11574

Agriculture is the major occupation for the people of Himachal Pradesh. The apple is Himachal Pradesh's important fruit crop, accounting for almost 49% of the total area under fruit crops and 85% of total fruit production. Various price series models viz. HWMS, ARIMA, TDNN and Hybrid ARIMA-TDNN models were tried to price series of apple for Solan Market for study period from January 2008 to December 2020. Best model is selected based on lowest RMSE value. Key results show that Hybrid ARIMA-TDNN models were performs comparatively well over other models for forecasting of apple prices.

Performance Evaluation of Planting geometry and Phosphorus levels on their Economics and Qualities of summer moong (Vigna radiata L.)

Paper ID- AMA-29-07-2022-11571

Field experiment were carried out during Zaid season of 2021 to find out the effect of planting geometry and phosphorus on economics and qualities in summer moong crop. An experiment was conducted at Agronomy Research Farm, Acharya Narendra Deva University of Agriculture and Technology, Kumarganj, Ayodhya (U.P.). The experiment was laid out in Factorial Randomized Block design with three replications. The total treatment combinations were twelve and keeping three planting geometry viz., 30 cm x 10 cm, 30 cm x 15 cm and 30 cm x 20 cm and four phosphorus levels viz., 0, 20, 40 and 60 kg/ha. Results revealed that there was significant variation among different treatments in respect of economics, the planting geometry of 30 cm x 15 cm were proved significantly superior in terms of seed yield, as well as gross return, net return, and B:C ratio compared to other rest treatments of summer moong crop. Quality aspect as only protein yield was significantly increased at 30 cm × 20 cm planting geometry over rest of planting geometry. The percentage increment of its geometry over narrow planting geometry (30 cm × 10 cm and 30 cm × 15 cm) were 4.66 and 1.77%, in respect of protein yield, respectively. The highest grain yield of summer moong, economics viz., gross income, net income and benefit cost ratio were significantly more received upto 40 kg ha. P2O5 over 0 and 20 kg/ha. phosphorus levels, respectively. The percentage increment of 40 kg P2O5/ha. over no phosphorus and 20 kg P2O5/ha. were 37.16 & 20.72%, 35.05 & 19.86%, 49.76 & 27.55% and 38.71 & 23.45% in respect of grain yield, gross income, net return and B:C ratio, respectively. The protein content in grain and straw significantly improved upto 40 kg/ha phosphorus per ha. in summer moong. The significant response was observed upto 60 kg/ha. phosphorus application in protein yield only. The application of 40 kg P2O5/ha. enhanced the protein content in grain, protein content in straw and protein yield by a margin of 14.50, 4.80 and 12.09% over no phosphorus, respectively.

OPTIMIZATION OF GERMINATED BLACK KAVUNI BY RESPONSE SURFACE METHODOLOGY (RSM)

Paper ID- AMA-28-07-2022-11566

In many nations, rice is the main dietary source. 95 percent of the world's rice demands are met by Asia. Because of its unique sensory qualities, high nutritional content, and, primarily, because of its advantageous health features, black rice has attracted growing amounts of attention. Germination has been found to be a low-cost and efficient process for enhancing grain quality. Response surface Methodology (RSM) two factor and three level Central Composite Design (CCD) was employed to optimize the germination conditions of black kavuni. Based on the optimization, the optimized soaking and germination condition was 16 hours soaking and 48 hours of germination. The effect of response variable was overall acceptability (8.98), cooking time (24.47) and anti-oxidant activity (80.25). The texture and the quality attributes of brown rice can be enhanced through germination and it will be the future food for the upcoming generations due to it improve quality characteristics.