Implementation of intelligent air conditioner for fine agriculture

Yang, Ming‐Ta; Chen, Cheng-Chuan; Kuo, Yu‐Ting

doi:10.1016/j.enbuild.2013.01.034

Cited by 13 publications

(7 citation statements)

References 11 publications

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“…University or institution (first author) Type Country [23] School of Science and Engineering, UNESP Public Brazil [11] Islamic Azad University Private Iran [20] Universidad Autónoma de Querétaro Public Mexico [13] Universidade de TrásosMontes e Alto Douro Public Portugal [2] University BadjiMokhtar Public Algeria [3] Don State Technical University Public Russia [4] Universidad de Valladolid Public Spain [21] Universidad del Magdalena Public Colombia [6] University of Tehran Public Iran [7] URERMS Public Algeria [18] Universidad Autónoma Chapingo Public Mexico [14] University BadjiMokhtar Public Algeria [9] Tunis El Manar University Public Tunisia [19] Birla Institute of Technology and Science Pilani Private India [15] Zhejiang Univesity City College Public China [12] University of Water Resources and Electric Power Public China [22] Shenyang University Public China [1] Zhejiang University of Technology Public China [24] Suzhou Institute of Industrial Technology Public China [28] Ehime University Public Japan [29] Beijing Institute of Technology Public China [30] Sichuan Agricultural University Public China [31] China Jiliang University Public China [32] University BadjiMokhtar Public Algeria [33] École nationale d'ingénieurs de Sfax Public Tunisia [34] Menoufia University Public Egypt [35] University of Toulon Public France [36] St John's University Private Taiwan [37] Universidad Tecnológica de Querétaro Public Mexico [38] King Abdulaziz University Public Saudi Arabia [39] Technological Educational Institute of Crete Public Greece [40] Maulana Azad National Institute of Technology Public India [41] Atish Dipankar University of Science and Technology Private Bangladesh…”

Section: Authorshipmentioning

confidence: 99%

A Systematic Review of Greenhouse Humidity Prediction and Control Models Using Fuzzy Inference Systems

Vanegas-Ayala

Barón-Velandia

Leal-Lara

2022

Advances in Human-Computer Interaction

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Cultivating in greenhouses constitutes a fundamental tool for the development of high-quality crops with a high degree of profitability. Prediction and control models guarantee the correct management of environment variables, for which fuzzy inference systems have been successfully implemented. The purpose of this review is determining the various relationships in fuzzy inference systems currently used for the modelling, prediction, and control of humidity in greenhouses and how they have changed over time to be able to develop more robust and easier to understand models. The methodology follows the PRISMA work guide. A total of 93 investigations in 4 academic databases were reviewed; their bibliometric aspects, which contribute to the objective of the investigation, were extracted and analysed. It was finally concluded that the development of models based in Mamdani fuzzy inference systems, integrated with optimization and fuzzy clustering techniques, and following strategies such as model-based predictive control guarantee high levels of precision and interpretability.

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Section: Authorshipmentioning

confidence: 99%

A Systematic Review of Greenhouse Humidity Prediction and Control Models Using Fuzzy Inference Systems

Vanegas-Ayala

Barón-Velandia

Leal-Lara

2022

Advances in Human-Computer Interaction

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“…A fuzzy logic describes a control protocol by means of if–then rules. In engineering systems, it provides a convenient and user-friendly front-end to develop control programs [ 32 , 33 ].…”

Section: Fuzzy Controlmentioning

confidence: 99%

Design and Implementation of an Intelligent Windowsill System Using Smart Handheld Device and Fuzzy Microcontroller

Wang

Yang

Chen

2017

Sensors

Self Cite

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With the advance of science and technology, people have a desire for convenient and comfortable living. Creating comfortable and healthy indoor environments is a major consideration for designing smart homes. As handheld devices become increasingly powerful and ubiquitous, this paper proposes an innovative use of smart handheld devices (SHD), using MIT App Inventor and fuzzy control, to perform the real-time monitoring and smart control of the designed intelligent windowsill system (IWS) in a smart home. A compact weather station that consists of environment sensors was constructed in the IWS for measuring of indoor illuminance, temperature-humidity, carbon dioxide (CO2) concentration and outdoor rain and wind direction. According to the measured environment information, the proposed system can automatically send a command to a fuzzy microcontroller performed by Arduino UNO to fully or partly open the electric curtain and electric window for adapting to climate changes in the indoor and outdoor environment. Moreover, the IWS can automatically close windows for rain splashing on the window. The presented novel control method for the windowsill not only expands the SHD applications, but greatly enhances convenience to users. To validate the feasibility and effectiveness of the IWS, a laboratory prototype was built and confirmed experimentally.

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“…There are several libraries for control applications, such as jFuzzy-Logic [68], which are noteworthy for making the design of fuzzy logic controllers easier. Many toolboxes can be found for different control problems, among which are the following: the dynamic powertrain simulation tool WARPSTAR2 for the modelling of electric vehicles [69]; a graphical tool aimed at controlling and monitoring temperature and relative humidity in the context of fine agriculture [70]; ASAFES2, a neurofuzzy function approximator, which combines the Takagi-Sugeno fuzzy reasoning method with stochastic reinforcement learning [71]; etc. Moreover, we can find some Matlab toolboxes for control applications, for instance: CIAPS [72] is an open source package based on artificial neural networks and fuzzy logic simulations for the assessment of electrical power systems; Zeng et al developed an expert system which combines ANFIS with genetic algorithms for designing in situ toughened Si 3 N 4 [73]; etc.…”

Section: A Fuzzy Systems Software For Solving Specific Problems Of Cmentioning

confidence: 99%

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

Alcalá‐Fdez

Alonso

2016

IEEE Trans. Fuzzy Syst.

105

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Fuzzy systems have been used widely thanks to their ability to successfully solve a wide range of problems in different application fields. However, their replication and application requires a high level of knowledge and experience. Furthermore, few researchers publish the software and/or source code associated with their proposals, which is a major obstacle to scientific progress in other disciplines and in industry. In recent years, most fuzzy system software has been developed in order to facilitate the use of fuzzy systems. Some software is commercially distributed but most software is available as free and open source software, reducing such obstacles and providing many advantages: quicker detection of errors, innovative applications, faster adoption of fuzzy systems, etc. In this paper, we present an overview of freely available and open source fuzzy systems software in order to provide a well-established framework that helps researchers to find existing proposals easily and to develop well founded future work. To accomplish this, we propose a twolevel taxonomy and we describe the main contributions related to each field. Moreover, we provide a snapshot of the status of the publications in this field according to the ISI Web of Knowledge. Finally, some considerations regarding recent trends and potential research directions are presented.

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Implementation of intelligent air conditioner for fine agriculture

Cited by 13 publications

References 11 publications

A Systematic Review of Greenhouse Humidity Prediction and Control Models Using Fuzzy Inference Systems

A Systematic Review of Greenhouse Humidity Prediction and Control Models Using Fuzzy Inference Systems

Design and Implementation of an Intelligent Windowsill System Using Smart Handheld Device and Fuzzy Microcontroller

A Survey of Fuzzy Systems Software: Taxonomy, Current Research Trends, and Prospects

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