Perception of the sociology of absences in the agricultural machinery industry supply chain

Coti-Zelati, Paolo Edoardo; Teixeira, María Luisa Mendes; Machado, Michel Mott; Araújo, Davi Lucas Arruda de; Pereira, Rafael

doi:10.1590/1806-9479.2021.247901

Cited by 2 publications

(2 citation statements)

References 34 publications

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“…A lot of data in the agricultural machinery operation management system needs to be displayed to users through maps, and the platform uses Internet maps to display relevant data [22]. With the rapid development of geospatial technology, many Internet companies have provided Internet map services, such as Google Maps, Baidu Maps, and AutoNavi Maps.…”

Section: Internet Map Apimentioning

confidence: 99%

Design and Discussion on Information Management and Control System of Agricultural Machinery and Equipment

2022

Journal of Control Science and Engineering

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In order to solve the problem of low development efficiency of agricultural mechanization information network system, a design and discussion method of agricultural machinery equipment information management and control system is proposed. This paper introduces the technologies required to realize the agricultural machinery operation management control system: Android development technology required to develop mobile phone positioning software, Internet map API for displaying location data, and construction of agricultural machinery resource allocation model for the realization of the scheduling module. Different objective functions are set, and the model results in different situations are obtained through experimental data. The experimental data are in the case of schedulable agricultural machinery, if the target is short-distance short-distance operation, it can save time by 0.16 h, and the existing M1 model is in Changying. Village work, the work end time is about 2.5 hours; M4 and M2 models work in the Xuzhuang Village, and the work end time is about 0.5 h; M3 model works in the Jiangtang Village, and the calculation results for different goals are as follows: M1 model first dispatches short-distance operations; the M3 type is dispatched first for short-distance operations; the M4 type operating in Xuzhuang Village is given priority to dispatch short-distance and short-distance operations. According to the analysis of system requirements, each submodule of the system is designed, including the function description and realization method of the module. The history track query module, mobile phone positioning module, and agricultural machinery scheduling module are introduced in detail. Using the Android development technology required by mobile phone positioning software, the information management of user interface, server system, and database is realized, which provides conditions for the collection of agricultural machinery and equipment information and the generation of information management control.

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Section: Internet Map Apimentioning

confidence: 99%

Design and Discussion on Information Management and Control System of Agricultural Machinery and Equipment

2022

Journal of Control Science and Engineering

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“…At the same time, the combination of the C-D production function and the Tobit model adopted in this study is more consistent with the research dimension and more feasible and scientific. In the context of agricultural mechanization, it is necessary to assume that agricultural producers are market-rational people and take the pursuit of agricultural production profits as the main goal [25]. This research also adopts this assumption, and the mechanized decision function of farmers is shown in Formula (1).…”

Section: Design Of Production Capacity Modelmentioning

confidence: 99%

The Influence of Agricultural Production Mechanization on Grain Production Capacity and Efficiency

Liu

2023

Processes

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As an important production factor of grain production, agricultural machinery can effectively provide a theoretical basis for agricultural modernization development strategies by exploring its impact on grain production capacity and efficiency. This research starts from the two aspects of grain production capacity and grain production efficiency, takes rice, wheat, and corn as the research objects, and uses the C–D production function and Tobit model as the basis, respectively, to establish two impact models of production capacity and production efficiency. At the same time, according to the different emphases of the two models, this research designs different variable systems and finally uses the data from 2017 to 2021 for empirical analysis. The research results show that the influence coefficients of machinery service income and machinery power resource input on the total grain production capacity are 0.0976 and 0.0437, respectively, with a significant positive impact. At the same time, for rice crops, wheat crops, and corn crops, the amount of mechanization cost per mu has a significant positive impact on the yield capacity of crops, with impact coefficients of 0.0311, 0.0827, and 0.0233, respectively. The supply level of agricultural machinery services and the utilization rate of agricultural machinery services per mu have a significant positive impact on grain production efficiency. The impact coefficients of the supply level of agricultural machinery services per mu are 0.0192, 0.0587, and 0.0241, respectively. The impact coefficients of the agricultural machinery service utilization rate are 0.0059, 0.0148, and 0.0607, respectively, with a significant positive impact. It can be seen that agricultural production mechanization can effectively promote the improvement in grain production capacity and efficiency and promote the process of agricultural modernization. At present, most of the research on industrial mechanization services is biased toward the choice of agricultural mechanization services by farmers. However, this research has carried out the impact mechanism analysis from the perspective of time and space and the perspective of crops, rationalizing the impact mechanism of agricultural production capacity and agricultural production efficiency under agricultural mechanization.

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Perception of the sociology of absences in the agricultural machinery industry supply chain

Cited by 2 publications

References 34 publications

Design and Discussion on Information Management and Control System of Agricultural Machinery and Equipment

Design and Discussion on Information Management and Control System of Agricultural Machinery and Equipment

The Influence of Agricultural Production Mechanization on Grain Production Capacity and Efficiency

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