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.
WOS Indexed (2026)
30 Jun 2026 (Vol - 57 , Issue- 07 )
31 Jul 2026 (Vol - 57 , Issue 07 )
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
Characterization of Rice (Oryza sativa L.) Genotypes based on Badh2 Gene Specific Marker and its Effect on Aroma Intensity
One of rice's most significant quality attributes is fragrance, and the gene badh2 (betaine aldehyde dehydrogenase) is responsible for this phenotype. In order to meet the growing demand for fragrant rice, one of the main goals of the present rice breeding programmes is to improve fragrant rice. A dominant Badh2 allele encoding betaine aldehyde dehydrogenase inhibits the synthesis of 2-AP, and the recessive allele induces 2-AP formation. The present investigation was performed to evaluate the genotype having functional Badh2 gene and non-functional Badh2 gene and its effect on aroma intensity which was tested by 1.7 % KOH a sensory method. In this study, those genotypes which gave approx. 355 bp band on Badh2 gene specific marker have trace or no aroma. Those genotypes that gave approx. 257 bp band with Badh2 gene specific marker had aroma in high intensity and those genotypes that gave both 355 and 257 bp band had aroma but less in compare to those genotypes that gave 257 bp band on Badh2 gene specific marker. Change in functionality of Badh2 causes change in aroma intensity and its presence.
Design and Evaluation of seeding machine
The use of seeding machine in the family sector presents technical and economic viability. This technology was developed as animal traction seeder for direct sowing of Corn (Zea Mays) and Cowpea (Vigna Unguiculata). The seeder can also be calibrated for other types of crops. The performance of the developed seeding machine was evaluate based on seeds, spacing indexes, field efficiency, field capacity, crop productivity as a function of the speed and working depth of the seeder and cost-benefit. The field design adopted was in randomized blocks, in a 4x5 factorial scheme, with four replications and five treatments, totaling twenty observations employed. The operational performance of the seeding machine was evaluated with four levels of quantity of seeds in the deposit (25%, 50%, 75% and 100%), showing good performance in the distribution of corn and cowpea seeds in holes, the other factor evaluated was the seeding depths (1 and 3 cm for cowpea, 3 and 5 cm for corn) in relation to speed (2; 3 and 5 km/ h). The results showed lower spacing and failed seed deposition values, and higher than acceptable values with the use of shallower and greater depths and lower speeds, with a consequent increase in the final population. However, the average field capacity and efficiency of the seeding machine were 0.12 ha/hr (8.33 hr/ha) and 71%, respectively, the value of production revenue estimated was to 65% and 69%, showing that the seeding machine is economically profitable.
ENHANCED VERIFICATION TECHNIQUES FOR DETECTING AND MITIGATING RANK ATTACKS IN RPL-BASED IOT NETWORKS
The widespread deployment of Internet of Things (IoT) networks has led to revolutionary developments in multiple sectors, ensuring smooth communication across devices. RPL has emerged as a prominent and essential protocol for networks in the IoT, owing to its commendable energy efficiency and compatibility with resource-constrained devices. The Internet Engineering Task Force (IETF) has recommended the application of the routing protocol, known as RPL, for the Internet of Things (IoT) that operates on Internet IPv6, or version 6, which was created especially for lossy and low-power networks. Numerous internal and external assaults, such as rank attacks, version number attacks, worst parent attacks, and black hole attacks, may target the RPL-based network. In this study, we suggested a method for detecting and mitigating the rank attack that is based on combined and classified verification with fuzzy optimization. In three different rank attack scenarios, where the accuracy rate is 96%, energy consumption is 3456J, convergence time is 10ms and packet delivery ratio is 94%, the proposed research performs better in terms of energy usage, the quantity of control messages transmitted, the quality of service offered, and the preservation of network stability.
Modelling for Assessing Behaviors of Vegetable Farmers towards Risk in the Northern Jordan Valley
Vegetables play a crucial role in human nutrition and are globally recognized for their contributions to nutritional security due to their high micronutrient content and increasing public awareness of healthy eating. However, vegetable farmers in the Northern Jordan Valley face a variety of environmental, technical, and financial risks. Understanding farmers' risk perceptions and attitudes is critical for effective farm management and decision-making. This study seeks to quantify these perceptions and attitudes and to explore how various factors influence them. To achieve this, we conducted a face-to-face survey with 186 farmers and employed the Von Neumann-Morgenstern Utility Model for analysis. Additionally, a regression model was used to examine the impact of factors such as age, farming experience, family size, and farm size on risk attitudes and perceptions. The findings indicate that weather and plant diseases are the most significant risk factors for vegetable farming. Furthermore, the study reveals that farmers' risk attitudes and perceptions are influenced by their age, agricultural experience, family size, and farm size. Based on these insights, several strategies are recommended for managing risk, including production techniques, insurance and contract management, and liquidity management.
WEAR ANALYSIS OF ECO-FRIENDLY MATERIALS FOR AUTOMOTIVE BRAKE PAD APPLICATIONS
The automotive industry is actively seeking ways to minimize the environmental impact of vehicles, particularly regarding brake pads. Traditional brake pad compositions often contain hazardous materials that can harm both humans and the environment. This study focuses on developing and characterizing eco-friendly materials as potential alternatives. Various eco-friendly materials, such as Coconut oil residue (COR), Sesame oil residue (SOR), and Groundnut oil residue (GOR), reinforced with phenolic resins, are analyzed for their wear rate. Through wear analysis using a pin-on-disc friction and wear apparatus, the weight loss of these materials is evaluated. This research aims to provide valuable insights into the potential of these eco-friendly materials in replacing traditional brake pad compositions. The findings will contribute to the automotive industry's ongoing efforts to reduce the environmental footprint associated with vehicles.