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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.

Submission Deadline
18 Jan 2022 (Vol - 53 , Issue- 01 )
Upcoming Publication
31 Jan 2022 (Vol - 53 , 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:

Azerbaijan Medical Journal Gongcheng Kexue Yu Jishu/Advanced Engineering Science
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

Designing and testing an innovative soybean seed grader with oval-hole screen type

Paper ID- AMA-05-08-2021-10498

In order to improve the performance of the existing soybean seed sorter using the commonly used spherical hole screen type, an innovative sorter using the oval hole screen type was designed and tested. The design process was carried out at the Agricultural Mechanization Laboratory, while the performance testing process was carried out at the Muneng Laboratory of the Legume and Tuber Crops Institute (ILETRI) in Indonesia from January to December 2011. For comparison, a sorter designed using an elliptical hole screen type (hole size: 6,5,4 mm) and a spherical hole screen type (hole size: 6,5,4 mm) was used at both ends and the screen with a screen inclination of 10 °. Spring-supported at both the center. The sorter was driven by a 5.5hp gasoline engine and operated at a pulley speed of 432rpm. The performance of the sorter was evaluated by using large seed size varieties of soybean seeds (Grobogan and Argpmulyo) and medium seed size varieties (Wills). The results show that the sorter (ILETRI sorter) with an elliptical hole screen type (hole size: 6,5,4 mm) was used for both types of soybean seeds (large and medium size) compared to the spherical hole screen type. On the other hand, it was shown that the seed quality grade (Gi) can be increased. The capabilities of the ILETRI sorter were higher for all large seed size varieties: Grobogan (656 kg / hr) and Argpmulyo (678 kg / h) compared to medium seed size varieties: Wills (437 kg / h). Furthermore, by using this sorter, the seed grade can be divided into two grades (G1 and G2) with respect to Grobogan, and the ratio of G1 and G2 is 56.6% and 37.8%. The average diameters were 9 mm and 8 mm, respectively. On the other hand, for the other two varieties (Argomulyo and Wills), the seed grades were divided into three grades, namely G1, G2 and G3. On average, the percentage of G1 and seed diameter were 51.9% and 6.6 mm for Argomulyo and 14.6% and 5. for Wills. It was 1 mm. The G2 ratio and seed diameter for Argomulyo were 33.7% and 6.5 mm, while for Wills they were 23.8% and 6.0 mm. However, the ratio of G3 to Argomulyo and Wills was 14.4% and 56.15%, respectively, and the average seed diameters of both varieties were 6.4 mm and 4.8 mm, respectively. The indicators of seed homogeneity were similar for both types of seeds with a coarse: medium: fine ratio of 10: 0: 0, suggesting that the level of homogeneity reached 100%. However, on the other hand, the seed survival rate met the criteria for seed elongation (70%). On average, the seed viability of Grobogan, Argomulyo and Wills was 82.5%, 87.1% and 74.6%, respectively. With a price of Rp16 million / unit and a wage of two drivers with Rp150,000 per day, the cost of the ILETRI sorter is Rp52 / kg, the break-even point is 103t / year, and the rate of return is 6.0. In months, the net present value is Rp73.9 million, the profit-to-cost ratio is 1.67, and the internal rate of return is 199.8%. In conclusion, technically and economically, the ILETRI sorter has a beneficial prospect of being applied in soybean seed producers. The ILETRI soybean seed sorter is patented in Indonesia with patent number: S002012000 65. (Translation author abstract) Meet the criteria for seed elongation (70%). On average, the seed viability of Grobogan, Argomulyo and Wills was 82.5%, 87.1% and 74.6%, respectively. With a price of Rp16 million / unit and a wage of two drivers with Rp150,000 per day, the cost of the ILETRI sorter is Rp52 / kg, the break-even point is 103t / year, and the rate of return is 6.0. In months, the net present value is Rp73.9 million, the profit-to-cost ratio is 1.67, and the internal rate of return is 199.8%. In conclusion, technically and economically, the ILETRI sorter has a beneficial prospect of being applied in soybean seed producers. The ILETRI soybean seed sorter is patented in Indonesia with patent number: S002012000 65. (Translation author abstract) Meet the criteria for seed elongation (70%). On average, the seed viability of Grobogan, Argomulyo and Wills was 82.5%, 87.1% and 74.6%, respectively. With a price of Rp16 million / unit and a wage of two drivers with Rp150,000 per day, the cost of the ILETRI sorter is Rp52 / kg, the break-even point is 103t / year, and the rate of return is 6.0. In months, the net present value is Rp73.9 million, the profit-to-cost ratio is 1.67, and the internal rate of return is 199.8%. In conclusion, technically and economically, the ILETRI sorter has a beneficial prospect of being applied in soybean seed producers. The ILETRI soybean seed sorter is patented in Indonesia with patent number: S002012000 65.

Design and experiment of a fertilizer deep applicator for twin-row within one ridge

Paper ID- AMA-05-08-2021-10497

This paper reports a new design of a deep fertilizer suitable for double row application in one ridge, as is commonly used on flat land in Guizhou Province, China for tobacco production. This fertilizer applicator can simultaneously achieve soil cultivation, ridge making and accurate fertilization. The implementation of the fertilizer applicator is combined with a system that controls fertilization based on operating speed. Conducted tests were conducted in a series of field experiments. As a result, tilling, ridged and fertilizer application can be carried out at the same time, the fertilizer application can be carried out deeply and accurately with a coefficient of variation of fertilizer uniformity of 12.3%, and 0.41 when the coefficient of variation of fertilizer application amount is 4.58%. The operating efficiency is hm 2 / h, and good ridges are formed with ridge height, apex width and foundation width of 28 mm, 1,318 mm and 1,755 mm, respectively, and the allowable range of the target values ​​of 30 mm, 1300 mm and 1700 mm. It was shown that it was.

Authentication and Validation of Cytoplasmic Wheat Hybrids with Linked SSR Markers

Paper ID- AMA-04-08-2021-10495

Wheat is the major cereal crop in India on which the food security rests. Determination of the best selection criteria is the most important aim in wheat breeding programs. To achieve high yield potential in wheat, hybrid breeding is a major innovative technique. A total of 16 newly developed CMS lines and a restorer lines, were used as the experimental material. Out of 82 pairs of SSR marker, Six SSR markers viz. Xcdf23, Xgmw374, Xgwm371, Xgwm335, Xwmc285 and Xwmc617, were analyzed for confirming that, the male sterility is controlled by a single dominant Ms2 gene in sixteen male sterile parental lines. Sixteen maintainer parental line were amplified with four SSR markers Xwmc131, Xwmc503, Xwmc44 and Xcdf63 to exhibit the Rf3 fertility restoration gene. Rf3 gene controls fertility in maintainer and hybrid lines and was found to be linked with the four SSR markers. The parental polymorphism survey indicated that four SSR markers viz., Xwmc346, Xbarc61, Xgwm294-2A, and Xgwm46-7B gave clear cut differentiation in both the (male and female) parents and indicated polymorphism among them, which confirm the authentication of hybrids.

Multi User Detection For FD-MC-CDMA system In Presence Of CFO Using Fuzzy Logic Based Adaptive Genetic Algorithm

Paper ID- AMA-04-08-2021-10494

Novel Multi User Detection (MUD) techniques to improve the efficiency of receiver in 5G wireless communications with the Frequency Division Multicarrier CDMA (FD-MC- CDMA) receiver are suggested in this research paper. Carrier frequency offset (CFO) on Multi-Carrier systems minimizes the efficiency of system; therefore, it is essential to estimate of CFO and minimize the influence on multiple carrier modulations systems. Introduction of novel MUD Schemes, Carrier Frequency Offset Estimation techniques on FD-MC-CDMA system are also focussed. There are several existing Multiuser Detection (MUD) schemes that suffer from performance degradation issues like optimisation in MAI and noise in the system, Near-far effect and Inter Symbol Interference (ISI). The combination of FD- MC-CDMA and MUD system is introduced and is designed for a novel Adaptive Genetic Algorithm (AGA) aided MUD using the Soft Computing Approaches such as Adaptive Population Sizing in Genetic Approach and Fuzzy Logic Controllers into the Adaptive Genetic Algorithm are simulated and analysed. The Bit Error Rate (BER) and Evaluation Complexity of the suggested MUD Schemes has been investigated under various Frequency Selective Fading Channels such as Additive white Gaussian noise (AWGN) channel, Rayleigh Fading Channel, and Rician Fading Channel. The simulation results are compared with existing non-linear MUD schemes, Successive Interference Canceller (SIC) and Parallel Interference Canceller (PIC). From the simulations, it is indicative that the efficiency of suggested AGA aided MUD is superior when compared to mentioned approaches.

A Robust and Scale-Invariant Computer Vision Based Method for Corrosion Identification

Paper ID- AMA-04-08-2021-10491

Corrosion is one of the most universal major defects in structured systems and can cause many safety risks if proper treatment and maintenance is not done. Robotic systems such as drones with integrated machine vision modules for real-time corrosion monitoring have the potential to significantly decrease the inspection time, unreliability of inspection procedures. This study investigates the use of bag of key points method for visual categorization of corroded and non-corroded images. The notion behind bag of key points method is that an image can be represented as a histogram that counts the occurrences of visual words. These visual words are obtained by clustering feature vectors of key points in the training images. We have used SIFT (Scale Invariant Feature Transform) descriptors to represent key points and used the following algorithms for classification after clustering the descriptors and generating features of fixed size: SVM, Decision Tree, Random Forest, KNN, ANN. We present results for corrosion identification problem and the results reveal that the method proposed is robust and produces good performance measures.