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WOS Indexed (2023)
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 Kongzhi yu Juece/Control and Decision 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) Tobacco Science and Technology
26 Sep 2023 (Vol - 54 , Issue- 09 )
30 Sep 2023 (Vol - 54 , Issue 09 )
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 Asia Life Sciences Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) 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 General Medicine (ISSN:1311-1817)
Industrial Engineering Teikyo Medical Journal Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics
Industrial and Commercial Design International Medical Journal Technology Reports of Kansai University Asia Life Sciences Open Access Journals
Information Engineering Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Teikyo Medical Journal International Medical Journal Changjiang Liuyu Ziyuan Yu Huanjing/Resources and Environment in the Yangtze Valley Technology Reports of Kansai University
Chemical Engineering Open Access Journals Tagliche Praxis Bulletin of National Institute of Health Sciences Journal of the Austrian Society of Agricultural Economics Azerbaijan Medical Journal
Food Engineering 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) Zhongguo Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of China University of Petroleum (Edition of Natural Science) Kongzhi yu Juece/Control and Decision Tobacco Science and Technology Shenyang Jianzhu Daxue Xuebao (Ziran Kexue Ban)/Journal of Shenyang Jianzhu University (Natural Science) General Medicine (ISSN:1311-1817)
Research on Path Tracking of Intelligent Tractor Based on Variable Universe Fuzzy Adaptive Model Predictive Control
Since the operating speed and tracking path of intelligent tractors are constantly changing, the model predictive control based on fixed parameters cannot achieve ideal results. This paper proposes a variable universe fuzzy adaptive weight MPC tracking control algorithm considering automatic steering system. Firstly, the tractor dynamics model, tire mechanics model and automatic steering system model are constructed. Secondly, a linear tracking error model is constructed based on the tractor dynamics model and the automatic steering system model. Again, a path-following control algorithm based on MPC is designed. Then, in order to improve the control precision and self-adaptability of MPC, a fuzzy self-adaptive weight regulator with variable universe is designed. Finally, the co-simulation of pear-shaped and semi-circular operating conditions is designed. The simulation results show that the model predictive controller considering the automatic steering system solves the problem of excessive tracking error caused by the delay, overshoot and oscillation of the automatic steering system in the tracking process; the variable domain fuzzy adaptive weight regulator realizes the adaptive weight Adjustment, so that the tracking control effect can meet the operation requirements under different operating speeds, and the speed robustness of the tracking control is improved.
Identification and Discrimination of Citrus Orchards using Satellite Imagery over Sirsa District of Haryana
In the recent era mapping of particular crop becomes an interdisciplinary nature in which agricultural and geo-informatics sectors comes together and monitoring the particular crop. In order to analyze the potential of remote sensing based technology for the mapping of crops in horticulture field, the present study was initiated for the discrimination and classification of citrus orchards with the help of multi-temporal satellite data. To achieve the objectives of the study Multi-date Sentinel-2 images covering the study area were acquired. The major challenge was to discriminate the Citrus plantation from agriculture and other plantation cover. After analyzing the multi-temporal data the optimum dates depicting the clear differentiation between the citrus plantation and associated other agricultural and horticultural crops were selected. The NDVI of the selected optimum multi-date data was layer stacked. The supervised classification based approach wa performed with the help of ground truth points for the identification and discrimination of Citrus orchards. This study provides the potential of using high-resolution NDVI imagery of Sentinel-2 for the identification, discrimination and demarcation of citrus orchards.
A comprehensive review of the biochar-mediated enhancement of soil acidity, crop performance and soil properties
Biochar, a carbon-rich material derived from biomass pyrolysis, has gained considerable attention as a soil amendment for improving soil fertility and crop productivity. One of the key benefits of biochar is its ability to mediate soil acidity, influencing soil pH and buffering capacity. Biochar can act as a liming agent, raising soil pH in acidic soils, or as an acidifying agent, lowering pH in alkaline soils, through its alkaline or acidic functional groups, respectively. This property makes biochar a versatile tool for managing soil acidity in different agricultural systems. The application of biochar to acidic soils can enhance crop performance by improving nutrient availability, reducing toxic metal concentrations, and promoting microbial activity. Biochar can also increase the cation exchange capacity (CEC) of soils, leading to improved nutrient retention and reduced leaching losses. Furthermore, biochar-mediated enhancement of soil pH can promote the dissolution of minerals and the release of essential plant nutrients, such as phosphorus, calcium, and magnesium, which are often limited in acidic soils. Apart from influencing soil acidity and crop performance, biochar can also improve other soil properties. Biochar can enhance soil water holding capacity, reduce soil erosion, and increase aggregate stability, thereby improving soil structure and fertility. Biochar can also sequester carbon in the soil, contributing to climate change mitigation by reducing greenhouse gas emissions. In this review, we summarize the current state of knowledge on the effects of biochar on soil acidity, crop performance, and soil properties. Overall, biochar-mediated enhancement of soil acidity can have profound positive effects on crop performance and soil properties, making it a promising soil amendment for sustainable agriculture.
Defense Response in Brinjal plants treated with Oil-cakes against Root-knot nematode, Meloidogyne javanica
Brinjal (Solanum melongena) belongs to the family Solanaceae, it is an important vegetable crop and grown all around the world. It is one of the most important hosts for plant parasitic nematodes, mainly root-knot nematode, Meloidogyne javanica. Experiments were conducted to test the efficacy of oil-cakes (viz., castor, mahua, karanj, mustard and neem cake) against root-knot nematode in laboratory condition (per cent hatching and per cent mortality after 24, 48 and 72 hours) through different concentration (0.5, 1, 2, 5 and 10 per cent), management of root- knot nematode in brinjal (@ 10 per cent) in pot and field condition and tested the effect of oil-cakes on estimation of PPO, PAL and Phenol in brinjal roots. Results showed that all the tested oil-cakes significantly reduced the per cent hatched juveniles and increased the per cent mortality of juveniles, increased the brinjal plant growth parameter as well as reduced nematode reproduction and increased the level of PPO, PAL, and phenol in brinjal roots as compared to untreated check. Among the tested oil-cakes neem cake was found most effective treatment with minimum per cent hatched juveniles and maximum per cent mortality of juveniles @ 10 per cent concentration after 72 hrs. Similarly, neem cake @ 10 per cent concentration was found superior to improving plant growth parameters, reducing nematode population and to enhance PPO, PAL, and phenol activity.
Performance of winter pulses under residual soil fertility with different crop establishment techniques in rice fallow in Meghalaya
A field experiment conducted in rice fallow to identify suitable winter pulses under residual soil fertility with different crop establishment techniques. The experiment was conducted in a split plot design with two nutrient management in kharif rice (organic (FYM equivalent to the recommended dose of nitrogen of 80 kg/ha) and integrated nutrient management (50% organic and 50% chemical fertilizer)) with a combination of three crop establishment techniques in winter pulses (utera, flat bed line sowing, and raised bed sowing), and four winter pulses (lathyrus, chickpea, lentil and field pea) in sub plot with three replications. Results showed that lathyrus, field pea and lentil could be the potential winter pulses to utilise residual nutrients in low land rice fallow Meghalaya. Raised bed and utera sowing are suitable crop establishment techniques in Meghalaya's high rainfall region. Productivity of all the winter pulses was higher in raised beds, which was primarily attributed to higher dry matter, branch/plant, and yield attributes such as grain weight/plant, which ultimately led to higher grains as well as straw yield. Hence, lathyrus, field pea and lentil could be included in rice fallows, ideally with raised beds and utera for higher yield in Meghalaya.