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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. Lizi Jiaohuan Yu Xifu/Ion Exchange and Adsorption Fa yi xue za zhi

Submission Deadline
03 Apr 2024 (Vol - 55 , Issue- 04 )
Upcoming Publication
31 Mar 2024 (Vol - 55 , Issue 03 )

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
Industrial Engineering
Industrial and Commercial Design
Information Engineering
Chemical Engineering
Food Engineering

Assessing the antibacterial activity of copper sheets in the germination of alfalfa seeds (Medicago sativa L.)

Paper ID- AMA-08-03-2022-11190

The consumption of sprouts in the human diet has grown during the last years, but great concern raised from public health institutions, food industry and consumers regarding their safety since foodborne diseases caused by microorganisms have been reported. Copper metal as a contact surface was studied during the germination of alfalfa seeds (Medicago sativa L.) inside a rotating drum on a laboratory scale and compared with a plastic surface of food-grade. A system of three rotating drums was used inside a thermo-regulated chamber to germinate seeds. To evaluate the antibacterial activity of copper sheets, alfalfa seeds were inoculated with 4.2 log cfu g-1 of Escherichia coli and after 84 hours of germination sprouts were evaluated for E. coli, mesophilic aerobic bacteria, the content of copper and other minerals (potassium, calcium, magnesium, sodium, iron, manganese, and zinc), total mass, unit mass and length, and color. The contact of alfalfa sprouts with copper sheets allowed to reduce the E. coli load from 6.54 to <0.1 log cfu g-1. However, all sprouts exceeded in copper (> 10 ppm) according to Food Sanitary Regulations. Germinated mass and length decreased after copper treatments. No statistically significant differences were observed between treatments for the remaining quality parameters. Finally, it is concluded that copper was very efficient in reducing the microbial load of E. coli in alfalfa sprouts, complying with the regulations established by the Chilean Ministry of Health.

Impact of fertilizers and manure on growth, yield attributes, nutrient uptake by rice and soil properties in a Vertisol under STCR approach

Paper ID- AMA-06-03-2022-11185

The experiment was conducted at the Research Field of Soil Science and Agricultural Chemistry, JNKVV, Jabalpur during the Kharif season of 2015 under AICRP on STCR to evaluate the impact of NPK integrated with FYM under STCR approach on performance of rice and change in properties of a Vertisol. Application of 147, 117, and 64 kg N, P2O5, and K2O along with 5t FYM ha-1 was produced significantly highest yield attributes 1.45,12.13,21.57, 19.85,111.73,2.79,103.86.7.87,24.97 at 30, 60, and 90 DAS and harvest, respectively over control and GRD. Significantly higher yields of grain (5.75 t ha-1), straw (7.57 t ha-1) and total Ca, Mg, and S uptake by rice (27.11, 18.17, and 14.36 kg ha-1) was obtained with the higher doses of NPK along with FYM as compared to those obtained under control. Application of NPK integrated with FYM (T6) was significantly improved in EC, organic carbon, available N, P, and K contents in post-harvest surface and sub-surface soils over control and fertilizers alone. Soil test-based integrated nutrient management maximizes yield attributes, yields, Ca, Mg, S uptake by rice, and improved soil fertility in a Vertisol.

A Boundary Detection Algorithm of Agricultural Machinery Operation Area Based on Accelerated KNN

Paper ID- AMA-04-03-2022-11182

The acquisition of the operation area of agricultural machinery is the premise for the service pricing and granting government subsidies of agricultural machinery. The objective of this paper is to develop a KNN algorithm based on amending mechanism and pruning optimization (KAP) in the case of irregular fields, which could reduce error and accelerate the process. The algorithm consists of two stages. The first stage uses KNN, generating convex or non-convex hulls that represent the area occupied by arbitrary sets of points, to detect boundary, and the second stage uses amending mechanism to correct the results obtained in the previous stage to improve the accuracy. Only the points close to the boundary could affect the detection and amending results. Based on this, the pruning optimization is used to speed up operations without sacrificing accuracy in the two stages. According to a series of accurate experiment with repeatability, compared to traditional KNN, addition of amending mechanism can reduce the error by at least 2%. The use of pruning optimization accelerates the first stage by 30% - 100% and the second stage by 2-20 times.The results illustrate that the KAP algorithm could be competent for calculation in irregular field.

Brain Tumour detection using Advanced Morphological Techniques

Paper ID- AMA-04-03-2022-11181

Brain tumour segmentation and detection requires efficient and rugged algorithms. All tumour images may not have same pixel intensity and contrast values. To identify the tumor in the brain is challenging task. Here, Brain Tumour detection using Advanced Morphological Techniques have been developed with histogram Normalisation, Thresholding, Fast Fourier transform (FFT), Fast Fourier transform(FFT) techniques. In this research, Length, Area of tumor and brain have been calculated and also calculated the statistical parameters. Also, proposed technique has been compared with the K-NN, NSC IN Gaussian Case, K-Means with Euclidian.

Optimization of the Metering Device of a Garlic (Allium sativum L.) Planter

Paper ID- AMA-04-03-2022-11180

This study determined the planting practices of Ilocos Norte, Philippines garlic farmers. Most farmers use the Ilocos White variety of garlic as planting material. Garlic fields range from 0.1 to 1 hectare with an average of 0.82 hectares. Planting distance range from 15.24 to 20.32 centimeters, with an average of 17.93 centimeters. This study also developed a garlic planter metering device in accordance with farmers’ inputs with a focus on determining the metering device’s optimal picker speed. The optimum speed should have a high percent singulation and low percent missed hills. Singulation is the ability of the cup conveyor to deliver only one clove to the delivery chute. Missed hills are deliveries without any cloves. Test speeds included 0.02, 0.035, and 0.05 m/s. A constant speed motor with different pulley systems drove the garlic planter on a test rig. Using the Design Expert Version 11 Response Surface – I-optimal Linear and Quadratic models, the optimal picker speed was determined to be 0.037 m/s with predicted values of percent singulation and missed hills as 71.27% and 5.88%, respectively. A confirmation test determined the actual performance of the metering device at the optimal picker speed. The percent singulation and percent missed hills of the planter in the confirmation test were 70.59% and 7.59%, respectively. ANOVA showed that the predicted values had no significant differences to the actual values.