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.
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
We designed and developed an environmentally friendly CIAE-Millet mill integrated with a pneumatic suction device. It simultaneously threshs minor millets and separates the shells from the threshed population. It is powered by a spindle speed of 960 rpm (for threshing) and a blower shaft speed of 1920 rpm (for pneumatic suction) (1 HP, single-phase motor). Its capacity is 100 kg / h for minor grains of 10-12 mc (wb). The overall dimensions of the machine are 860mmx842mmx1460mm. The performance of the CIAE-Millet threshing machine was evaluated using various types of minor grains. The results showed that the threshing efficiency was in the range of 70-85%.
Manual size selection of walnuts is a labor-intensive and tedious task, and is even more irrational and inefficient. Therefore, the purpose of this study was to design, manufacture and evaluate a power walnut sorter. Walnuts cultivated in Jammu and Kashmir, India are classified into four grades, all four grades are evaluated for various dimensional, physical, frictional and mechanical properties, and a mechanical system for walnut sorting. Created a database that plays an important role in the design of. A power walnut sorter was developed and tested. The machine consists of a supply hopper, casing, rotary pipe, delivery chute, sprocket, drive chain and control panel. The results of the performance test showed that the sorting error was greatly affected by the feeding speed, the tilt of the sorting machine, and the opening size from the feeding end to the trailing edge. A maximum average sorting efficiency of 96.3% (minimum sorting error 3.7%) was recorded with a supply rate of 400 kg / h and a sorter slope 80. The effective throughput capacity of the machine was estimated to be 337 kg / h. Adoption of this technology will help walnut growers, processors and other stakeholders to produce quality grade walnuts that are acceptable in the competitive market. In this paper, we described the design and performance evaluation of the walnut sorter and the meaning of the obtained results.
The pericarp content of Cassaba varieties required for evaluation of peeling efficiency and meat loss of mechanized Cassaba peelers was investigated based on their water content. Five improved Cassaba varieties, UMUCAS 36, UMUCAS 37, UMUCAS 38, TME419 and TMS 30572, were compared with actual pericarp mass using the developed mechanical and regression mass models. The results obtained were that TME419 at 63.33% water content had an average mass of 585.6 g, 19.13% flesh percentage mass, and 2.33 mm average pericarp thickness, and TMS30572 at 63.5% had an average skin thickness of 499.24 g, 23%, and 2.3 mm: UMUCA S36 has an average mass of 357.48 g, 21.90% pericarp mass, and an average pericarp thickness of 1.6 mm with a water content of 72.69%; while UMUCA37 has an average water content of 84%. With 16.97% pericarp mass, 2.4 mm average pericarp thickness and 430.24 g average mass; and UMUCA38 contains 73.83% average mass of 497.96 g, 2.44 mm average pericarp thickness and 19.77% pericarp mass. It was shown to have by the amount of water. The ANVOA results show that the mass of the pericarp model can approximate the actual response (fruit cortex mass) of the Cassaba varieties beyond the prediction accuracy of 97% or more. These eliminate the fractured work and rigors associated with determining the actual pericarp mass, and remove ambiguity in assessing pulp loss and peeling efficiency in the Cassaba processing system.
An improved Cassaba wear peeler was developed by modifying the existing Cassaba peeler. A comparative analysis was performed on the test results, and it was shown that there was a significant difference in the amount and quality of the peeled cassava between the existing friction peeling method and the improved method. The results showed that the improved machine performed well by giving a high rate of 75.4%, a throughput of 119 kg / h, a tuber meat loss of 5.88%, and a specific energy consumption of 57.1 kJ / kg. The average processing time of 17.5 minutes / batch and the cost of N6.25 / kg (1 $ US ≒ 360N) resulted in improvements of 42.3% and 26%, respectively. This improved technique eliminated the pretreatment work of trimming, sorting and sorting of Cassaba tubers, which characterizes other techniques. The operation requires little operator skill, is locally supplied with all the materials used in manufacturing, and can produce machines that are acceptable to the small processing industry.
Jackfruit is a fruit that many people like because of its sweetness, but it is one of the important unused fruits. Extensive research has been done on the added value of jackfruit, but the machining of jackfruit for separating bulbs remains of great interest. Therefore, in order to facilitate the extraction of bulbs, we have developed a semi-machining machine for removing the core of jackfruit and dividing the fruit. The test was carried out by processing fruits of three different lengths, small (15-30 cm), medium (30-45 cm) and large (45 cm or more), at different cutting speeds of 600,700,800 rpm. When operated at a cutting speed of 800 rpm with the developed machine, the core removal rate was 96%, 89.5%, 71.3% and the fruit damage rate was 12.2% for small, medium and large size fruits. It was 8.6% and 4.1%. The total time required to cut and separate the bulbs using the developed machine was 7.10, 10.0 and 12.4 minutes for small, medium and large fruits, 13.25, 18.07, and 27.20 minutes. Less than manual processing by experts. The throughput capacity of the machine for small, medium and large fruits was 66 kg / h, 114 kg / h and 144 kg / h, respectively. The total cost of the developed tool was about 20,000 rubies ($ 295) and the total operating cost was about 52 rubies ($ 0.77) per hour. The developed machine can be operated by the average person with minimal labor and is ideal for small to large processors and entrepreneurs.