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.
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
Root-zone fertilization (RZF) can improve fertilizer utilization, but the development progress of fertilizer point-applied device is very slow due to the principle lack of fertilizer particles distribution. In this work, a new type of fertilizer point-application device based on the mechanism of Geneva Drive is taken as the specific analysis object, the impacts of working speed, fertilizer discharging height and fertilizer discharging mass on the fertilizer particles distribution performance are explored by DEM-MBD simulation. The results show that the fertilizer distribution length increased with working speed, discharging mass and discharging height increasing. The increase of fertilizer distribution length by the increase of working speed can be sufficiently explained by the rotation speed increase of discharge wheel, resulting in the higher discharging velocity of fertilizer particles and bigger discharging angle range, and the relative fertilization time becomes shorter. The increase in discharging height leads to an increase in the time of fertilizer particles moving in the air, due to the various horizontal speeds of different particles after leaving the discharge wheel, there is a horizontal distance after the particles fall on the conveyor belt. The proportional increase of the discharging mass by the fertilizer volume can increase the area of fertilizer particles dispersed and the fertilizer stacking posture is related to the discharging velocity of fertilizer particles.
The country of India is renowned as the "Land of Villages." About 67 percent of India's population lives in villages. Their primary occupation is agriculture and agricultural-related activities. Agriculture is the largest and most important sector of our economy, employing over 70% of the Indian people. Agriculture is critical to the Indian economy. Although its contribution to GDP is currently roughly one-fifth of what it was, it employs 50 percent of the Indian workforce. Despite recent significant growth rates, India continues to face agricultural challenges. As a result, the purpose of this study will focus on agricultural productivity and its future possibilities. Some secondary data has been gathered in order to examine agriculture's realistic scenario and the government's numerous policy programmes. The goal of the study is to discover more about the state of Indian agriculture. They face a number of challenges and obstructions in the form of agro-industry and governments in order to develop agriculture in extreme circumstances, as well as learn about various government initiatives, investments, and policies for agricultural development, and the involvement of agriculture in the Indian economy.
In order to improve the accuracy of tomato-picking robots’ recognition in complex environments, a tomato recognition method based on an improved SSD model was proposed. Based on the traditional SSD (Single Shot Multi-Box Detector) network model, an RFB (Receptive Field Block) module was added and the loss function was improved by adding repulsion loss to construct a network model for tomato fruit recognition in complex environments. The improved SSD model was tested with a self-made dataset, and a comparison test was conducted for tomatoes under different shade on sunny and cloudy days. The test results showed that the differences between the two algorithms were compared and analyzed with F1 as the evaluation value. Test results showed that the F1 values for single-fruit shade and multi-fruit shade were 87.3% and 85.6% on sunny days while the figure for leaf shade and root-stock shade were 83.6% and 89% respectively, increasing by 7%, 4% and 6%, 6% compared with the traditional SSD model. On cloudy days, the F1 values for the same four types of shades reached 79%, 79.6%, 78.3% and 80.3% respectively, rising by 2%,1.3% and 4.3% 5.7%. These results proved that the network could realize the accurate detection of tomato fruits in complex environments and provide a new method for testing agricultural robots for picking tomatoes.
When cultivated roots are lifted from the soil with the use of vibrational lifting tools, damage to their bodies is inflicted, in particular, they are broken off at the points of contact with the tool. The problem is especially pronounced in the case, when the root bodies sit in dry and firm soil, which results in the impact contact between the digging shares of the lifting tool and the root body. The aim of the present research is to determine and validate the rational design and kinematic parameters of the vibrational lifting tool for its force interaction with the root, when lifting the latter from the soil, under the condition of excluding damage to it. As a result of the carried out transformations, analytical expressions have been obtained for determining the impact impulse as well as the maximum permissible frequency of the tool’s oscillations and its mass reduced to the point of impact under the condition of not damaging the root. The results of the research provide for determining the rational parameters of the vibrational lifting tool. The tool oscillation frequency values that ensure the minimum root damage and loss rates and are appropriate for practical use in the operation of real root harvesters have been recommended. In the context of the design, kinematic and process parameters incidental to the existing root harvesters, the above-mentioned oscillation frequencies of the vibrational lifting tool can vary within the range of 8.0-21.2 Hz.
Drought is one of the most disastrous phenomenon as it inflicts untold numerous miseries on crop production and human societies. Haryana state lies in Trans-Gangetic plain and lies between 27⁰ 39’ N to 30⁰ 55’ N latitude and 74⁰ 27’ E to 77⁰ 36’ E longitude with an area of 44,212 km2 i.e. 1.3 % of the total area of the country. The study was carried out in the Department of Agricultural Meteorology, CCS HAU Hisar. The aim of study was to find out the frequency of drought in Haryana during kharif season of 21 districts, rainfall data were collected from India Meteorological Department for a period of 1987 to 2016. To identify the drought year’s two drought indices i.e. SPI and rainfall deviation from normal as given by IMD were used. On the basis of SPI values Ambala and Mewat in eastern zone and Fatehabad and Rewari in western zone are more prone to moderate drought, whereas Sonipat and Hisar has more chances to experience severe drought based on their past study. Kurukshetra and Kaithal seems to be safer in terms of their proneness to sever drought as they never experienced SPI based severe drought condition during the study period. Another criteria i.e. IMD’s rainfall deviation criteria of drought frequency reflected that the districts Sonipat, Bhiwani and Rewari have more tendency of getting moderate drought as compared to other districts and Kurukshetra and Kaithal in case of severe drought. In eastern zone of Haryana majority of area was under no drought conditions on the basis of both indices. As drought category is concerned the IMD criterion for drought is more sensitive to ‘Moderate’ and ‘Severe’ droughts and the SPI found more sensitive to ‘No drought’ conditions.