Fuzzy automatic control of the irrigation process for the IoT-based smart farming systems

被引:0
|
作者
Zheng, Yue [1 ]
Jiang, Zhijian [2 ]
Kozlov, Oleksiy, V [3 ]
Kondratenko, Yuriy P. [3 ,4 ,5 ]
机构
[1] Yancheng Polytech Coll, Dept Informat & Secur, Yancheng, Jiangsu, Peoples R China
[2] Yancheng Huayao Agr Biotechnol Co Ltd, Yancheng, Jiangsu, Peoples R China
[3] Petro Mohyla Black Sea Natl Univ, Intelligent Informat Syst Dept, Mykolaiv, Ukraine
[4] Inst Artificial Intelligence Problems MES, Kiev, Ukraine
[5] NAS Ukraine, Kiev, Ukraine
关键词
Smart farming system; irrigation system; soil moisture and pH control; fuzzy logic; fuzzy controller; Internet of Things;
D O I
10.3233/AIS-230403
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper is dedicated to the development and research of the advanced IoT-based fuzzy control system of the irrigation process for smart farming complexes of various types. The proposed automatic control system makes it possible to attain sufficiently high quality indicators of the soil moisture and pH control, which significantly improve the overall efficiency of irrigation processes and, as a result, the processes of growing various plants. In particular, more accurate control of soil moisture and pH allows improving soil microbial activity, optimizing nutrient uptake, increasing water utilization efficiency within the cultivated plants, which directly contribute to increased crop yields and sustainable resource management in agriculture. The designed system is created based on the principles of (a) hierarchical two-level IoT-based control, (b) simple and reliable two-channel fuzzy logic control with high performance and accuracy, as well as (c) easy customization and adaptability for various smart farming complexes. To evaluate the effectiveness of the proposed advanced system, the simulation experiments for automatic control of an irrigation process using the developed fuzzy controllers are carried out in this study at given optimal parameters (soil moisture and pH level) of growing conditions for two different crops: tomato and beet. The analysis of the obtained results of computer simulation shows that the designed system has higher efficiency and quality indicators compared to existing analogs when used for two different crops with significantly different optimal parameters of growing conditions.
引用
收藏
页码:337 / 363
页数:27
相关论文
共 50 条
  • [41] SWAMP: an IoT-based Smart Water Management Platform for Precision Irrigation in Agriculture
    Kamienski, Carlos
    Soininen, Juha-Pekka
    Taumberger, Markus
    Fernandes, Stenio
    Toscano, Attilio
    Cinotti, Tullio Salmon
    Maia, Rodrigo Filev
    Neto, Andre Torre
    2018 GLOBAL INTERNET OF THINGS SUMMIT (GIOTS), 2018, : 163 - 168
  • [42] IoT-Based Smart Watering System Towards Improving the Efficiency of Agricultural Irrigation
    Balasooriya, Thilina N.
    Mantri, Pranav
    Suriyampola, Piyumika
    2020 IEEE GLOBAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND INTERNET OF THINGS (GCAIOT), 2020, : 165 - 171
  • [43] Smart IOT based Indoor Farming Analysis and Monitoring using Fuzzy logic Expert systems
    Bharadwaj, Shreeanant
    Antony, Anson
    Bhalerao, Swapnil
    Kulkarni, Apeksha
    Eswara, Rohan
    Suryawanshi, Abhishek Subhash
    PROCEEDINGS OF THE 2021 FIFTH INTERNATIONAL CONFERENCE ON I-SMAC (IOT IN SOCIAL, MOBILE, ANALYTICS AND CLOUD) (I-SMAC 2021), 2021, : 64 - 69
  • [44] Digital Farming: A Survey on IoT-based Cattle Monitoring Systems and Dashboards
    El Moutaouakil, Khalid
    Jdi, Hamza
    Jabir, Brahim
    Falih, Noureddine
    AGRIS ON-LINE PAPERS IN ECONOMICS AND INFORMATICS, 2023, 15 (02): : 31 - 39
  • [45] IoT-Based Smart Parking for Smart Cities
    Araujo, Anderson
    Kalebe, Rubem
    Girao, Gustavo
    Filho, Itamir
    Goncalves, Kayo
    Melo, Alberto
    Neto, Bianor
    2017 IEEE FIRST SUMMER SCHOOL ON SMART CITIES (S3C), 2017, : 31 - 36
  • [46] An Overview of IoT-Based Architecture Model for Smart Home Systems
    Djumanazarov, Odamboy
    Vaananen, Antti
    Haataja, Keijo
    Toivanen, Pekka
    INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, ISDA 2021, 2022, 418 : 696 - 706
  • [47] Intrusion detection systems for IoT-based smart environments: a survey
    Elrawy, Mohamed Faisal
    Awad, Ali Ismail
    Hamed, Hesham F. A.
    JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS, 2018, 7
  • [48] Intrusion detection systems for IoT-based smart environments: a survey
    Mohamed Faisal Elrawy
    Ali Ismail Awad
    Hesham F. A. Hamed
    Journal of Cloud Computing, 7
  • [49] IoT-based Smart and Complex Systems:A Guest Editorial Report
    Naiqi Wu
    Zhiwu Li
    Kamel Barkaoui
    Xiaoou Li
    Tadahiko Murata
    Meng Chu Zhou
    IEEE/CAAJournalofAutomaticaSinica, 2018, 5 (01) : 69 - 73
  • [50] Implementation of IoT-Based Sensor Systems for Smart Stormwater Management
    Altami, Sulaiman Ahmed
    Salman, Baris
    JOURNAL OF PIPELINE SYSTEMS ENGINEERING AND PRACTICE, 2022, 13 (03)