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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. 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)

Submission Deadline
04 Jun 2023 (Vol - 54 , Issue- 06 )
Upcoming Publication
31 May 2023 (Vol - 54 , 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

Agriculture and Use of Power in Rajasthan

Paper ID- AMA-27-03-2022-11246

Energy is a primary driver of economic growth and welfare. Provision of good quality energy is a means to improve the standard of living of the people. Power scenario in the country which had worsened over the years with the deficit at 10.1 per cent and the peak deficit at 12.7 per cent during 2009-10 has now improved somewhat, with a recorded deficit of 0.7 and peak deficit of 2.0 percent in 2017-18 state of Rajasthan has 10 per cent of India’s land, 5 per cent of its population and only 1 per cent of its water resources, a disadvantage by a factor for supply of irrigation water vis-a-vis agriculture area. To estimate the present status of farm power availability across the states at District level from secondary sources were analysed and the farm power availability at district level has been calculated. The percent change in farm power availability during 2007-08 and 2017-18. The average farm power availability in the State of Rajasthan during 2007-08 was 0.932 kW/ha and it increased to 1.414 kW/ha by the end of 2017-18, thus registering a 51.72 % increase in FPA in last tn year due to increase of solarisation and implementation of Sub-Mission on Agricultural Mechanization. Acute water shortage, erratic rainfall and recurring droughts in every district have exacerbated the situation. The development of Rajasthan’s Agriculture depends on its technological changes i.e.a change in the parameter of production function resulting directly from the use of new knowledge.

Satellite-based crop typing at cadastral level using traditional and machine learning methods

Paper ID- AMA-27-03-2022-11245

Crop typing at cadastral level is considered as an important input for precision farming, farm management, crop water requirement, crop yield assessment, and crop insurance settlement among others. Advances in satellite remote sensing, Geographic Information System (GIS), classification algorithms, and computational infrastructure provided us the opportunity to classify and map crop types at cadastral level. However, it remains a question that, which particular method of classification is best for a given site? especially when it comes to map the crops at cadastral level using satellite data. The current work is an attempt to answer this question using a combination of five data types (including, optical, SAR, merged optical and SAR, time series optical, and time series SAR), and four popular classification algorithms (including Unsupervised k-mean, supervised Maximum likelihood (MXL), Support vector machine (SVM), and Random Forest (RF)). Results reveal that the time series of optical and microwave data performs better with random forest classifiers (over all accuracy ranging between 67 to 73% and Kappa coefficient ranging from 0.54 to 0.60) as compared to other combinations and classifiers, when a 100% accuracy check approach (new approach) was used. The most of the errors occur at the margin pixels due to mixing. The current finding is applicable for a large part of the nation corresponding to heterogeneous cropping, especially during monsoon season.

Effects of pre-milling microwave dosage on dehulling of chickpea and pigeon pea

Paper ID- AMA-27-03-2022-11244

This research was undertaken to examine the effect of microwave dosage as pre-milling treatments on chickpea and pigeon pea dehulling to analyse the dehulling parameters. The experiments were conducted for pre-milling treatments of chickpea and pigeon pea at different microwave dosage range from 103.85 J/s to 560.77 J/s to evaluate dehulling parameters viz. surface temperature, dehulling yield, dhal yield, and dehulling loss. It was noted that the average surface temperature of chickpea increased from 56.3 to 132.11oC for chickpea and from 58.12 to 126.99ºC for pigeon pea, respectively, with increased microwave dosage in this range of microwave dosage. The highest dehulling yield, 71.02%, for chickpea was achieved at 207.69 J/s microwave dosage and 63.46% at 467.31 J/s microwave dosage and found maximum dhal yields, i.e., 66.40%, at 207.69 J/s for chickpea and 62.30% at 467.31 J/s for pigeon pea with a minimum dehulling loss 10.25% at 560.77 J/s for chickpea and 4.61% at 103.85 J/s for pigeon pea. Hence, microwave pre-milling treatment is recommended for continuous type pre-milling treatments with the dehulling operation to replace existing pre-milling methods and further develop one continuous type pre-milling treatment system in the pre-milling process; it also confers and gets attention over traditional one’s methods during pulse processing as non-chemical alternatives for commercial adoption in the near future.


Paper ID- AMA-27-03-2022-11243

Organic waste from animals and plants can be processed into Biourine. Biourine is useful for plants as a liquid organic fertilizer. Processing livestock waste from urine into biourine aims to avoid environmental pollution and help plant fertility as liquid organic fertilizer. This study aims to determine the benefits of organic waste from animals and plants to manufacture biourine as liquid organic fertilizer. This study used cow rumen from animals and tomato waste from plants, using a randomized block design with five treatments and eight replications. namely A-: Cow urine without addition, A+: Cow urine + EM4, B: Cow urine + 100% animal IMO, C: Cow urine + 100% vegetable IMO, D: Cow urine + 50% animal IMO + 50% vegetable IMO. Parameters observed were total microbes, pH, macro-nutrients Carbon (C), Phosphorus (P), Nitrogen (N), and Potassium (K), as well as micro-nutrients iron (Fe) and Copper (Cu). The results showed that total microbes, pH, macronutrients, the five treatments showed different results (P<0.05), and while micronutrients showed no different results (p<0.05), the conclusion of organic waste originating from animals and vegetables can be used as basic ingredients for biourine production as a liquid organic fertilizer that is useful for food crops.

Influence of different trash management practices on soil properties under sugarcane ratoon cultivation

Paper ID- AMA-23-03-2022-11238

Sugarcane crop is a source of income for the rural people but the residue of sugarcane is burnt by them that cause harmful effects on soil and atmosphere. Apart from this if sugarcane residue is retained on the soil as mulch; it conserves soil moisture, improves the soil properties and inhibits the growth of weeds. Addressing this issue, an experiment was conducted to find out the effect of trash management practices on the physical properties of soil under the sugarcane ratoon cultivation. The result revealed that the application of trash in alternate rows (T5) reduced the soil bulk density from 1.53 to 1.436 Mg cm-3. In first year experiment, water holding capacity show higher mean value with trash chopper (T6) and lower with burning treatment (T8). In infiltration rate observation, maximum was recorded in trash mulching in alternate rows by trash chopper (T6) (4.76 and 10.75 cm hr-1) and lowest in control (T1) i.e. 2.06 cm hr-1 in both years that is 296.11 % and 136.52% increase over the control and T8 burning respectively. The soil temperature and infiltration rate was significantly higher in the T8 and T6 respectively. The second year, significantly higher (24.78 ˚C) mean value of soil temperature was recorded with trash burning (T8) while significantly lower mean value (22.24 ˚C) was observed in (T4) compared to all the other treatments. And the application of trash favors the nutrients recycling and improves the soil health.