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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.

Submission Deadline
24 Nov 2022 (Vol - 53 , Issue- 11 )
Upcoming Publication
30 Nov 2022 (Vol - 53 , Issue 11 )

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:

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
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

Impact of Substrate treatments and Cultivation methods on Yield and Economics of Oyster mushrooms (Pleurotus florida and P. sajor-caju)

Paper ID- AMA-04-04-2022-11267

The present study was conducted to evaluate the effect of different substrates, their pasteurization and cultivation methods on number of days required from spawning to final harvesting, pileus diameter (cm), yield (g/kg dry substrate) and their overall impact on economics of P.florida and P. sajor-caju mushroom cultivation in a mushroom house of 30’ × 60’. P. florida was cultivated in October, 2020 and P. sajor-caju in February, 2021. Amidst different substrate pasteurization treatments used for P. florida cultivation, wheat straw hot water treatment at 70ºC for 20 min was found superior over all the other treatments as the crop duration from spawning to final harvesting was earlier (47.7 days) as compared to paddy straw solarized (57.5 days). Paddy straw hot water treatment was however found more superior in terms of pileus diameter (9.9 cm) and yield (938 g/kg dry paddy substrate. The effect of hanging method of cultivation was found better over rack method in terms of crop duration, pileus size, yield and economics of P. florida. Among different substrate pasteurization and cultivation methods, a significant higher yield of P. florida (1083.7 g/kg dry substrate) was obtained in paddy straw hot water treated and hanging method of cultivation. This substrate treatment and cultivation method was highly remunerative. It gave a maximum net return of Rs. 241394, benefit cost ratio of 3.03: 1 and minimum cost of production (Rs. 24.7 per kg fresh mushroom). Similarly in P. sajor-caju, wheat straw hot water treatment was superior because the crop duration was short (50.0 days) as compared to paddy straw solarized (56.3 days). The paddy straw hot water treatment was found more superior in pileus diameter (11.3 cm) and yield (780.5 g/kg dry substrate). The hanging method was found better over rack method in terms of less crop duration, more pileus size, high yield. A significant higher yield of P. sajor-caju (866.7 g/kg dry substrate) was obtained in paddy straw hot water treated and hanging method of cultivation. This combination gave a maximum net returns of Rs. 113462, benefit cost ratio of 2.43:1, minimum cost of production (Rs. 30.9 per kg fresh mushroom).

Development of Supercapacitor Battery Powered Electric Farm Cart for Light Agricultural Duties

Paper ID- AMA-03-04-2022-11264

In this paper electric farm cart powered by super-capacitor battery was developed and its charging and discharging performances was studied. To do this, firstly the electric cart system configuration is introduced. The electric control components are shown. The super-capacitor batteries specification used in the experiment are presented. Next, the charging system consist of constant current (CC)/constant voltage (CV) Buck converter and super-capacitor cell balancing device was developed. Proportional control was proposed to control the current and voltage during charging process. Finally, experiment was done using developed prototype. Current and voltage was monitored using power analyzer during charging and operational. The experimental result shows that the proposed system successfully controls the charging current and balances the battery voltage. The maximum voltage of super-capacitor battery is 16.2V, the peak charging current is 20A and the charging time was less than 1 hour.

Effect of Different Liquid Biofertilizers and Varying Fertility on Yield of Cluster Bean [Cyamopsis tetragonoloba (L.) Taub]

Paper ID- AMA-03-04-2022-11263

The experiment was conducted on farm of Rajasthan Agricultural Research Institute (RARI), Durgapura, Jaipur (Raj.) to study the effect of different liquid biofertilizers and fertility levels on growth, yield and quality of cluster bean (Cymopsis tetragonoloba). The test crops were raised on field during july to november kharif-2018 and 2019. The experiment was laid out in factorial randomized block design (FRBD). The treatment details of experiment comprised with two factors (1) eight treatment of liquid biofertilizer: control-no biofertilizers (L0), Rhizobium (L 1), PSB-phosphorus solubilizing bacteria (L2), KMB-potassium solubilizing bacteria (L 3), SSB-sulphur solubilizing bacteria (L 4) , Rhizobium + PSB (L 5 ), Rhizobium + PSB+ KMB (L 6 ) and Rhizobium + PSB+ KMB + SSB (L 7) and (2) three treatment of fertility levels: 100 % recommended dose of fertilizers (F1),75% RDF (F2) and 50 % RDF (F3) and total number of treatment were 24. The maximum increase in yield attributes viz., seed yield (kg ha-1), straw yield (kg ha-1) and biological yield (kg ha-1) observed in 100 % RDF (F1) with Rhizobium + PSB+ KMB + SSB (L 7) but the combination of 75% RDF with Rhizobium + PSB+ KMB + SSB (L 7) found the similar effect with 100% RDF with Rhizobium + PSB+ KMB + SSB (L 7). However, the combined treatment of 75% RDF with Rhizobium + PSB+ KMB + SSB (L 7) noticed significantly superior than other treatment.

Biofortification effect of vermicompost, zinc and iron on yield and quality of hybrid maize (Zea mays L.)

Paper ID- AMA-03-04-2022-11262

The present study investigated the biofortification effect of vermicompost, zinc and iron on yield (grain and stalk q h-1), protein, starch and amylose content in grain of hybrid maize at harvest. Soil application of Zinc (0.005 t) and Iron (0.01 t) along with 2.5 t vermicompost h-1 gave highest grain yield (47.41 and 49.72 q h-1) and stalk yield (72.07 and 74.29 q h-1) for two consecutive years, while the highest protein content (10.87 and 10.93%), starch content (52.55 and 52.60%), amylose content (19.22 and 19.30%) was recorded with 0.0075 t zinc + 0.015 t iron + 2.5 t vermicompost h-1. Yield (grain and stalk) and quality parameters (Protein, starch and amylose) were significantly increased over control as a result of treatments applied. Superior yield and quality of hybrid maize was achieved with the combined use of zinc and iron along with vermicompost as compared to sole application of zinc, iron and vermicompost.

Improvement of Electric Farm Cart Gearbox based on Artificial Neural Network and Genetic Algorithm

Paper ID- AMA-02-04-2022-11261

To improve the bearing capacity and service life, the gearbox design parameter such as shaft diameter and gear face width can be increased. However, material volume and bending stress should be considered. The purpose of this paper is to improve the gearbox bearing capacity by reducing the bending stress while maintaining material volume increment. To do this the optimization method is needed. Firstly, the shaft diameter and gear face are increased. Secondly, the ANSYS simulation was used to determine the bending stress of the gears. Mathematical model then developed to represent relation between the shaft diameter and gear face as input and material volume and bending stress as the output. Since the mathematical model is non-linear, Artificial Neural Network (ANN) is used to obtained the mathematical model. Finally, Genetic Algorithm (GA) technique of optimization is used to obtain the optimized values. The simulation results clarify that the proposed method was able to achieved optimized value of shaft diameter and face width to obtain the minimal bending stress and material volume of the gearbox.