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
Individual identification and behavioural analysis of pigs is a key link in the intelligent management of a piggery, for which the computer vision technology based on application and improvement of deep learning model has become the mainstream. However, the operation of the model has high requirements to hardwares, also the model is of weak interpretability, which make it difficult to adapt to both the mobile terminals and the embedded applications. This study proposes to first use the LDA method to extract the main features of the pig’s face, and then conduct an individual recognition test based on the face image, and reach an average accuracy of 64.9%, This method not only reduces the computational complexity but also is of strong interpretability, so it is suitable for both the mobile terminals and the embedded applications. In some way, this study provides a systematic and stable guidance for livestock and poultry production.
Agricultural engineering is the branch of engineering that considers the engineering techniques in agriculture to enhance the productivity, resource utilization, pre and post-harvest operations. The three major sub-discipline of agriculture engineering are, farm machinery and energy in agriculture, agricultural structure and process engineering, irrigation and soil & water conservation engineering. It can help environment by sustainable use of farm input and energy in agriculture, results in; increased production, yield, best quality of farm produces and reduction in farm wastage. In a nutshell, incorporating the advanced or innovative technologies such as sensors, AI, robotics, machine learning etc., in the current farm mechanization scenario, improves the overall agricultural productivity by reducing the human drudgery. The paper discusses about the future of agricultural engineering and how it going to help in near future.
To study the effects of different nutrient solution treatment on tomato growth, quality and leaf handle mechanics. Tomato as the test material, the use of greenhouse pearl rock matrix cultivation test, set up 3 treatment N1 (1.5 times the standard concentration of nutrients), N2 (1 times the standard concentration of nutrients), N3 (0.5 times the standard concentration of nutrition Liquid), combined with conventional measurement methods, analyzes the effect of nutrient concentration on tomato growth index, provides reference for nutrient management in matrix cultivation, and uses a texturer to bend and cut tomato leaf handles, which can provide theoretical basis for the development and development of tomato-related facilities and equipment.
As the core of electric tractor, the performance of vehicle controller directly determines the power and economy of the tractor. The main purpose of the design and development of the test system was to test the CAN communication effect of the whole controller and the rationality of the established control strategy. The test system adopted modular design method, and designed the vehicle controller module, driver control module, power output module, fault monitoring module and display control module. The test system simulated the real working state of the tractor and tested the control strategy of the vehicle controller. When the load of the electric tractor changed, the control strategy would adjust the torque output of the motor in real time to ensure that the two motors are in the high-efficiency zone. The test system was used to test the vehicle controller of electric tractor, which laid a foundation for the development of the whole vehicle controller of electric tractor.
Groundnut is cultivated in most of the states of India due to favorable agro-climatic conditions and higher consumer demand. Harvesting is one of the major unit operations in groundnut cultivation because it accounts for a higher share of cultivation cost. Groundnut yields are higher for early planting and timely harvesting, and decline with delay in planting and harvesting operation. The yield loss generally ranges from 16–25% and 30–40% when harvested 10 days before and after physiological maturity, respectively. Also, pod losses are highest during harvesting compared to other operations and the cost of harvesting alone accounted for 23% of the cultivation cost. Therefore, selection of a right method of harvesting is important in groundnut cultivation to meet timeliness and cost effectiveness. In developing countries, groundnut crops are being harvested mostly by manual pulling and digging by spade, khurpi etc. and by animal-drawn diggers. While in developed countries digging is usually done by self-propelled diggers, tractor operated diggers and combine harvesters. Manual harvesting is labor intensive, time consuming, expensive and involves drudgery and can cause delay in groundnut harvesting. So a suitable mechanical harvesting system is the only solution to overcome the above mentioned problems. This article reviews different groundnut harvesting methods, development and evaluation of different groundnut diggers, losses associated with groundnut harvesting and cost economics of harvesting methods.