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)
07 May 2026 (Vol - 57 , Issue- 05 )
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
Effect of Different Liquid Biofertilizers and Varying Fertility on Yield of Cluster Bean [Cyamopsis tetragonoloba (L.) Taub]
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.)
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
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.
Nitric oxide and Brassinosteroid induced tolerance in tomato (Lycopersicon esculentum Mill.) to drought stress on plant morphology, metabolism and yield parameters
Drought stress is a serious stress leading to limited crop production in present climate changing era. The present investigation was carried out to evaluate the impact of sodium nitroprusside (nitric oxide donor) and brassinosteroid on mitigating drought stress responses in tomato plants. Experiment with two different water status was conducted with two tomato genotypes to study the mitigating effect of sodium nitroprusside (nitric oxide donor) and brassinosteroid. Drought stress was induced by withholding water for 7 days and normal irrigated plants were used as control. Nitric oxide donor, Sodium nitroprusside (SNP, 50 and 100 µ M) and 24-epibrassinolide (EBL, 1 and 3 µ M), applied singly and in combinations were used as foliar spray on the stressed plants. Drought stress produced various negative impacts in plants in terms of plant height, membrane stability index, malondialdehyde (MDA), proline content, flower drop percent, total soluble solids, polar fruit diameter and number of fruit plant-1. Exogenous foliar application of nitric oxide and brassinosteroid showed the extenuating effect under drought stress by increasing drought tolerance by overcoming negative effects of above mentioned morpho-physiological and biochemical attributes. Exogenous application of 100 µMSNP with 3 µM EBL showed significantly best results followed by 50 µM SNP plus 3 µM, EBL,50 µM SNP plus1 µM EBL and 100 µM SNP plus 1 µM EBL. Our results advocate that exogenous application of SNP and EBL application could significantly improve tolerance in tomato plants under drought stress by the significant changes in morpho-physiology and metabolic processes.
PRODUCTIVITY DYNAMICS OF TURMERIC AS INFLUENCED BY INTEGRATION OF DIFFERENT ORGANIC NUTRIENT SOURCES
To study the effect of nutrient management through biomanuring on growth, yield and economics of turmeric under organic farming. A field experiment was undertaken on certified organic field during 2020-21 at Centre for Organic Agriculture Research and Training, Department of Agronomy, Dr. Panjabrao Deshmukh Krishi Vidyapeeth, Akola, Maharashtra. The experiment was laid out in a randomized block design with nine treatments and three replications. The turmeric variety for experiment was PDKV waigaon. The application of 50% Vermicompost + 50% Neemcake + Biofertilizers shows significantly higher growth attributes such as plant height (87.10cm), number of leaves (13.23), leaf area(46.28dm2) and number of tillers (4.10) at 120DAP. Similarly, significantly higher yield and yield attributes were recorded by application of 50% Vermicompost + 50% Neemcake + Biofertilizers such as number of mother rhizomes(1.87), number of primary rhizomes(6.27) and fresh yield of rhizomes(14.77 tha-1). The higher economics among treatments recorded by application of 50% Vermicompost + 50% Neemcake + Biofertilizers with B:C ratio 3.1. The application of 50% Vermicompost + 50% Neemcake + Biofertilizers resulted in significantly higher productivity of turmeric under organic farming in Vidarbha Region of Maharashtra.