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 (2025)
27 Nov 2025 (Vol - 56 , Issue- 11 )
30 Nov 2025 (Vol - 56 , 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:
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
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.
ENTREPRENEURIAL BEHAVIOUR AMONG AGRICULTURE STUDENTS OF FARM UNIVERSITIES IN KARNATAKA
Entrepreneurship is a catalyst for economic development irrespective of sectors. Learning entrepreneurship will become integral part of agriculture education which provides opportunities for the agriculture students to develop skills, changing their attitudes and prepare them to become prospective entrepreneurs. Keeping in view, the present study was carried out in four farm universities viz., Bangalore, Dharwad, Raichur and Shimoga in Karnataka state during 2019-20 to analyze entrepreneurial behaviour among agriculture students. Data was collected from 200 final year students from four agricultural colleges located at headquarters of universities using pre-tested interview schedule through personal and online interview. Standardized scale to measure entrepreneurial behaviour was developed and used in the study. The study revealed that two fifth of the students (38.50 %) belong to low level of entrepreneurship category, followed by 36.00 per cent and 25.50 per cent of the students had medium and high entrepreneurial behaviour, respectively. This because of students not evident about their entrepreneurial idea, not having proper plan and support from peer groups like family, friends, relatives etc. Even some them want to do the higher studies.
Studies on intercropping of black gram and sesame with pigeonpea under rainfed condition of Uttar Pradesh
The field investigation was laid out during two consecutive Kharif seasons of 2016-17 and 2017-18 at Soil Conservation and Water Management Farm, C.S. Azad University of Agriculture and Technology, Kanpur. The main objective was to find out the effect of pigeonpea on intercrops of black gram and sesame and vice versa. The soil of the experimental field was sandy loam, having pH 7.8, organic carbon 0.32%, available P2O5 17.3 kg/ha and available K2O 181.2 kg/ha therefore, the fertility status was medium. The treatments consisted of five cropping system i.e. pigeonpea sole, black gram sole, sesame sole, pigeonpea + black gram (1+1) additive series and pigeonpea + sesame (1+1) additive series. The base crop was taken pigeonpea while black gram and sesame were tested as intercrop. The total productivity of pigeon pea + black gram was highest (23.53 q/ha) in comparison to pigeonpea + sesame (20.30 q/ha) and pigeonpea sole (17.34 q/ha). The growth characters and yield attributes of all tested crops were commensurable to yields.