Fuzzy logic based automatic slip control system for agricultural tractors

Soylu, Serhat; Çarman, Kazım

doi:10.1016/j.jterra.2021.03.001

Cited by 25 publications

(11 citation statements)

References 14 publications

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“…is even distribution method ensures that more than 4 satellites can be observed in any area of the world, that is, satellite signals can be received at any location at any time, accept all-weather continuous positioning and navigation services provided by GPS. GPS positioning methods, including pseudo-range positioning, carrier positioning, Doppler positioning, and satellite radio interference positioning [17,18]. Pseudorange positioning is the most common positioning method.…”

Section: Related Technologies Of Agricultural Machinery Operationmentioning

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: Related Technologies Of Agricultural Machinery Operationmentioning

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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“…On the other hand, the application of fuzzy logic was used in another study by Soylu and Çarman in 2021 where they developed an automatic fuzzy-based slip control system for tractors on the field by continuously recording how many times slippage occurred during the process of tilling, which proved to reduce slippage by 42% and reduced fuel consumption by 44% [ 62 ]. A few limitations of the artificial intelligence-based systems were highlighted in the recent 2021 study by Meroni et al, in which they stated that the difference between the accuracy of machine learning enabled systems and regular bench-marking systems were not significantly dispersed and the performance of machine learning systems reduced if the data was small [ 63 ].…”

Section: Discussionmentioning

confidence: 99%

Artificial intelligence solutions enabling sustainable agriculture: A bibliometric analysis

2022

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There is a dearth of literature that provides a bibliometric analysis concerning the role of Artificial Intelligence (AI) in sustainable agriculture therefore this study attempts to fill this research gap and provides evidence from the studies conducted between 2000–2021 in this field of research. The study is a systematic bibliographic analysis of the 465 previous articles and reviews done between 2000–2021 in relation to the utilization of AI in sustainable methods of agriculture. The results of the study have been visualized and presented using the VOSviewer and Biblioshiny visualizer software. The results obtained post analysis indicate that, the amount of academic works published in the field of AI’s role in enabling sustainable agriculture increased significantly from 2018. Therefore, there is conclusive evidence that the growth trajectory shows a significant climb upwards. Geographically analysed, the country collaboration network highlights that most number of studies in the realm of this study originate from China, USA, India, Iran, France. The co-author network analysis results represent that there are multi-disciplinary collaborations and interactions between prominent authors from United States of America, China, United Kingdom and Germany. The final framework provided from this bibliometric study will help future researchers identify the key areas of interest in research of AI and sustainable agriculture and narrow down on the countries where prominent academic work is published to explore co-authorship opportunities.

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“…Several of these studies have resulted in the development of a four-wheel tractor control system at a relatively high cost to Indonesian farmers [7]- [10]. Furthermore, numerous studies have been conducted to optimize the tractor's mechanical performance [11]- [17], embedded control systems [18]- [23], and software [24]- [28], enabling it to operate and be controlled by a distance. These comprehensive studies are focused on powerful four-wheeled tractors.…”

Section: Introductionmentioning

confidence: 99%

Trolls: a novel low-cost controlling system platform for walk-behind tractor

Crisnapati

Maneetham²,

Triandini³

2023

IJECE

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<span lang="EN-US">A novel low-cost controlling system platform for walk-behind hand tractors (Quick G3000 and G1000) was designed and developed to solve the fatigue problem faced by farmers when ploughing the rice field. This platform is dedicated to designing and manufacturing mechanical, electrical, and software components. The tractor was modified and added with an embedded control system that functioned as the slave, while the direction of the tractor movement was controlled remotely by humans through Bluetooth communication with the smartphone application as the master. Several servos and direct currents (DCs) were used as the actuator to move some levers and clutches instead of the tractor to make it remotely controllable. This system has been directly tested in the paddy farming land through two tractors: Quick G3000 and G1000. The testing results showed that this system could be used within more or less six hours; there is a cost-efficiency of 21.74% and 84.62% battery usage efficiency. More efficient mechanics caused this cost efficiency, and the reduction in electronic devices affects battery efficiency. A low-cost platform for controlling walk-behind tractors has been successfully developed; this platform assists farmers in ploughing their fields.</span>

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Fuzzy logic based automatic slip control system for agricultural tractors

Cited by 25 publications

References 14 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

Artificial intelligence solutions enabling sustainable agriculture: A bibliometric analysis

Trolls: a novel low-cost controlling system platform for walk-behind tractor

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