WOS Indexed (2023)
clarivate analytics

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
10 Feb 2023 (Vol - 54 , Issue- 02 )
Upcoming Publication
03 Feb 2023 (Vol - 54 , Issue 01 )

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

Prediction of peanut seed vigor based on hyperspectral images

Paper ID- AMA-24-02-2022-11162

Prediction of seed vigor based on hyperspectral peanut. The traditional method is time-consuming and laborious to detect seed vigor. At the same time, the accuracy of the detection result is not high, and it will cause damage to the seed itself. Therefore, in order to achieve rapid and non-destructive detection of peanut seed vigor, the test was performed with original health, artificial aging for 24h and Peanut seeds with different vigor gradients at 72 hours were used as the research samples. Hyperspectral images with a wavelength range of 387~1035nm were collected, and the image of the central part of the peanut seeds with a pixel size of 60×60 after correction was intercepted and the average reflectance value was calculated. After the collection was completed, the individual peanut seeds were numbered one by one, and then the roll paper germination method was used to induce germination to ensure that the peanut samples collected by the spectrum were consistent with each other. There was a one-to-one correspondence between the peanut seeds in the induction test of roll paper germination. After a combination of processing analysis, characteristic band processing, and model selection, a hyperspectral prediction system with the highest correlation to the viability of extracted peanut seeds was finally established. Experiments shown that the combination of hyperspectral imaging technology and the MF-LightGBM-RF model had the best performance, with a prediction accuracy of 92.59% and a fitting time of 1.77s, which simplifies the model and improves efficiency.

Awareness Level of Farmers Towards Direct Seeded Rice Technology in Haryana State of India

Paper ID- AMA-23-02-2022-11161

The current study was conducted in Haryana's districts of Ambala and Kurukshetra in 2020 and 2021, to assess farmers' awareness of Direct Seeded Rice (DSR) cultivation technology in eight villages in these districts in order to improve resource use efficiency and lower rice cultivation costs. Empirical data was obtained using a well-structured and pre-tested interview schedule and analysed using appropriate statistical procedures utilising the Statistical Package for Social Sciences 26th version (SPSS). According to the findings, two-thirds of the respondents (41.25%) had a poor degree of knowledge regarding DSR technology, followed by medium and high levels of expertise. Indeed, the government and non-governmental groups should arrange more awareness programmes to raise the level of understanding of DSR technology in order to sustain rice production in Haryana. Personal attributes like education, land holding, farm equipment availability, mass media exposure, extension contact, economic motivation, risk orientation, and innovativeness all showed a positive and significant link with their awareness level about DSR technology at the 0.05 level of probability.

Oil content and fatty acid composition of soybean seed influenced by various Zinc sources under fine typic Kanhapludalf soil

Paper ID- AMA-22-02-2022-11159

Experiments were conducted in two locations under the acidic soil conditions of Nagaland. Growth, yield, yield attributes and quality of soybean were recorded, analysed and computed statistically during 2019, 2020 and pooled respectively. It was observed that the parameters such as plant height, no. of nodules plant-1, fresh weight of nodules, dry weight of nodules, seeds pod-1, pods plant-1, seed and stover yield, protein content and yield, oil content and yield and soil fertility after harvest were significantly increased @ 5 kg ha-1 ZnSO4 H2O + RDF during both the experimental years as well as in pooled respectively. The fatty acids composition in soybean such as palmitic, stearic, oleic, linoleic and linolenic acid were also found to be significantly increased @ 5 kg ha-1 ZnSO4 H2O + RDF among the various Zn sources applied. From the experiment conducted, it was observed that soybean responded well to application of Zinc sources in balanced doses.

A Bias Gantry Profiling Boom Sprayer for Orchard Protection

Paper ID- AMA-22-02-2022-11158

An air-assisted sprayer sends liquid medicine to a canopy of orchard plants for protection. However, the inherent drift in this method lowers the pesticide utilization. To meet the gardening requirements of a short-anvil densely planted apple orchard, a profiling boom sprayer was designed, and the operation requirements and prototype operation parameters of plant protection were determined. The droplet depositions in the upper, middle, and lower layers of the targets and in the inner, middle and outer rings were analyzed in field experiments. The standard deviations of the droplet deposition coverage rates on free, slender, and high spindles at different heights were 4.43, 2.82, and 5.29, respectively, and those of the droplet deposition densities were 5.97, 4.98, and 6.15, respectively. All p-values exceeded 0.05, indicating that droplets from the outer ring were uniformly distributed at different canopy heights. The average droplet deposition density exceeded 150 grains·cm-2 in the outer and center rings of the three tree-shaped targets, and reached 100.60 grains·cm-2 in the inner ring. The droplet deposition coverage rates on the free, slender, and high spindles in the inner ring were 37.41%, 36.69%, and 35.47%, respectively, indicating that the droplet penetration ability of the profiling boom sprayer meets the requirements of plant protection. The developed profiling boom sprayer has improved the inherent serious drift problem of the air blower sprayer, and has provided inspiration for the research and development of orchard plant protection machinery.

Quality Protein Maize Hybrids (Zea mays L.) response on Growth parameters under Different Plant Populations and Nutrient Management Practices

Paper ID- AMA-22-02-2022-11157

A field experiment was conducted at Udaipur during Kharif season of 2016 to study the Response of Quality Protein Maize Hybrids (Zea mays L.) on Growth parameters under Different Plant Population and Nutrient Management Practices. Results revealed that hybrid HQPM-5 recorded higher plant population, plant height, dry matter accumulation at 25, 50 75 DAS and at harvest (19.70, 60.94, 197.51 and 214.47 g plant-1), CGR between 25-50 DAS (15.00 g m-2 day-1) and 50-75 DAS (50.07 g m-2 day-1), RGR, LAI over PQMH-1. Maize hybrid HQPM-5 attend significantly early tasseling and silking than PQMH-1. 1,00,000 plants ha-1 recorded higher DMA, CGR, RGR, LAI over 83,333 plants ha-1. Among various nutrient management practices STCR recorded highest plant height, DMA, CGR, RGR, LAI over SSNM and RDF, respectively.