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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
02 Dec 2022 (Vol - 53 , Issue- 12 )
Upcoming Publication
30 Nov 2022 (Vol - 53 , Issue 11 )

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 Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Interventional Pulmonology
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

An Experimental Analysis of Enhancing iPrivacy-SEET by VIFF in cloud Storage

Paper ID- AMA-11-12-2021-10946

During the last two decades, multimedia created the challenge to maintain the sensitive data on cloud especially a digital image. Traditional techniques of encryption, such as AES, RSA and DES are closely fitted to text while compared to the image. While outsourcing the digital image to cloud, cloud vendors have an access control to keep our data secure. It may be possible to share the data to unauthorized user for their own profit. To overcome these issues and to protect images on cloud, we propose a single technique (iPrivacy-SEET by VIFF- iPrivacy-Single and Efficient Encryption Technique by Various Image File Format) which is applied to different image format to ensure the image security/privacy. It keeps the metadata in the client system itself. The procedure of SEET is achieved by three phases such as Split by chunks, Distribute by pattern and Scramble by PRP (pseudo random permutation by chaos). It has around 50% reduction of encryption time while compared to standard AES. The proposed work is implemented in Python language. The various experiments are conducted with different format of images like JPEG, BMP, PNG, TIFF and GIFF to prove the system performance and image privacy.

Response Characteristics of Hyperspectral Images for Determining the Moisture Contents of Potato (Solanum tuberosum) Tubers

Paper ID- AMA-11-12-2021-10945

The study investigated the hyperspectral reflectance responses to changes in the moisture content of potato tubers in a time series generated during oven drying. 17 chemometric preprocessing methods were used to eliminate the impact of spectrum noise on the spectral feature curve. The CatBoost, LightGBM, XGBoost, and other algorithms were used to obtain the effective feature spectra for hyperspectral images. Water content prediction models were derived by using selected feature spectra and the results indicated that the combined model based on the Lasso and XGBoost algorithms had the greatest prediction ability with the highest R2 value of 0.8908.

Heterosis for seed yield and Oil Content in Sunflower Hybrids

Paper ID- AMA-10-12-2021-10943

The present investigation in sunflower (Helianthus annuus L.) was carried out to gather information on gene action and combining ability effects of parents, their hybrids, genotype x environment interaction and stability parameters for various phenological, agronomic/morphological traits and oil content. The experimental material comprised diverse CMS lines and testers crossed in Line x Tester design (4 x 10) to obtain 40 F1s. Hence parents, hybrids and 2 checks were grown during kharif, 2015 at two locations i.e. Udaipur (Rajasthan State) and Latur (Maharashtra State) while during rabi, 2015-16 at Latur only thereby evaluating in three environments following recommended package and practices. The heterosis for seed yield/ plant ranged between -30.41 to 36.63 %. The high specific combiner crosses recorded moderate level of heterosis, heterobeltiosis and economic heterosis. CMS 234A X RHA 138-2, CMS 234A x EC 601957, ARM 249A x EC 623023, CMS 234A x R 16 and ARM 249 x RHA 138-2 could be adjudged as the best heterotic crosses for yield and its component traits viz. head diameter, Seed filling percentage, volume weight and 100-seed weight where as CMS 234A X RHA 138-2, ARM 249A x EC 623023, CMS 234A x R 16 for yield, oil content and hull content. These crosses also manifested high per se performance, good GCA effects of at least one parent and significant SCA effects.

Mitigation of water stress in Eucalyptus tereticornis sm. using brassinosteroids phyto-hormones

Paper ID- AMA-10-12-2021-10940

Mitigation of water stress by the application of brassinosteroids (BRs) on seedlings of Eucalyptus tereticornis was undertaken in the screen house at CCS Haryana Agricultural University, Hisar. BRs are polyhydroxylated steroidal phyto-hormones, which play an important role in regulation of various plant growth and developmental processes. Keeping in view the future prospects of Eucalyptus tereticornis in agroforestry areas, the present study was carried out on the application of brassinosteroids for raising healthy seedlings for the purpose of plantations on private and public lands. At moisture level of field capacity, growth of plants was found maximum and it decreased as the water stress increased. Foliar application of 5 ppm of BRs at 75% moisture of field capacity, 10 ppm at 60% of field capacity and 20 ppm at 60% and 40% moisture levels were found most suitable to mitigate the water stress in Eucalyptus tereticornis.

Dynamic model and visualization of Arabidopsis thaliana phenotype

Paper ID- AMA-09-12-2021-10939

As an important research subject in precision crop production and agroforestry, an optimized plant phenotype is a prerequisite for plant cultivation management and plant line design. Phenotype development and optimization is also a promising approach to adapt plant cultivation to future climate changes. To analyze the effects of biotic and abiotic stresses on plant phenotypes more accurately, A. thaliana was used as the research object in the early stage of this study. Numerous experimental observations and data analyses were carried out to create a dataset for the virtual growth model of A. thaliana that was simulated using by applying the logistic model. Based on the morphological model of A. thaliana, a dynamic model and visualization were created in this study. The leaf morphological structure model of A. thaliana was developed using the NURBS surface, and its stem model was constructed using OpenGL, which enabled us to construct the main organs model of A. thaliana. Moreover, a leaf editor was developed that could edit leaf traits at different growth periods. Finally, a visual simulation of the development process of A. thaliana from the seedling to maturity under different growth conditions was created, providing an effective approach for studying the effects of environmental stress factors on A. thaliana phenotypes. Our work can provide a theoretical framework for research on a virtual dynamic growth model system of general agricultural and forestry plants.