Development of a Weather Station Using IoT Platform Based Arduino Integrated With a Control System for Smart Agriculture Applications

被引:0
作者
Khan, A. A. [1 ]
Makmud, M. Z. H. [1 ]
Miskon, M. T. [1 ]
Nair, A. [1 ]
Biding, K. [2 ]
机构
[1] Univ Malaysia Sabah, Fac Sci & Nat Resources, 1 Green Technol & Adv Matter GREAT Res Grp, Kota Kinabalu 88400, Sabah, Malaysia
[2] Coll Engn, Sch Elect Engn, UiTM Terengganu, 23000 Dungun Campus, Terengganu, Malaysia
来源
2024 IEEE INTERNATIONAL CONFERENCE ON AUTOMATIC CONTROL AND INTELLIGENT SYSTEMS, I2CACIS 2024 | 2024年
关键词
Smart farming; automation; IOT; weather station; Climate-Smart Agriculture;
D O I
10.1109/I2CACIS61270.2024.10649832
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The increasing impacts of climate change on agriculture necessitates a shift towards adaptive solutions, with Climate-Smart Agriculture (CSA) emerging as a pivotal paradigm. This study underscores the imperative transition from conventional farming to CSA by shedding light on multi-faceted applications of IOT-based weather stations. This article details the design, development, and implementation of a lowcost weather station integrated with a control system, driven by Arduino Mega. This system also includes cloud- based and edg-ebased data transmission capabilities enabling real-time data monitoring for the farmers and efficient data collection. In the context of precision agriculture and smart farming, this study aims to achieve the goals of meteorological innovations, cost-effectiveness, customizability, and scalable solutions for diverse applications such as weather monitoring, climate forecasting, pesticide spray, CO2 injection, and automated irrigation. Results and discussions showcase the system's capabilities in capturing meteorological data, including CO2 concentration, solar irradiation, wind speed, wind direction, and rainfall. The study concludes by highlighting the flexibility and scalability of the designed system, with potential applications extending beyond environmental monitoring to encompass irrigation control, plant health monitoring, and overall productivity enhancement.
引用
收藏
页码:134 / 138
页数:5
相关论文
共 16 条
  • [1] IoT-based monitoring and data-driven modelling of drip irrigation system for mustard leaf cultivation experiment
    Abioye, Emmanuel Abiodun
    Abidin, Mohammad Shukri Zainal
    Mahmud, Mohd Saiful Azimi
    Buyamin, Salinda
    AbdRahman, Muhammad Khairie Idham
    Otuoze, Abdulrahaman Okino
    Ramli, Muhammad Shahrul Azwan
    Ijike, Ona Denis
    [J]. INFORMATION PROCESSING IN AGRICULTURE, 2021, 8 (02): : 270 - 283
  • [2] Smart and Climate-Smart Agricultural Trends as Core Aspects of Smart Village Functions
    Adesipo, Adegbite
    Fadeyi, Oluwaseun
    Kuca, Kamil
    Krejcar, Ondrej
    Maresova, Petra
    Selamat, Ali
    Adenola, Mayowa
    [J]. SENSORS, 2020, 20 (21) : 1 - 22
  • [3] Akilan T., 2020, 2020 2nd International Conference on Advances in Computing, Communication Control and Networking (ICACCCN), P540, DOI 10.1109/ICACCCN51052.2020.9362971
  • [4] Scalable Lightweight IoT-Based Smart Weather Measurement System
    Albuali, Abdullah
    Srinivasagan, Ramasamy
    Aljughaiman, Ahmed
    Alderazi, Fatima
    [J]. SENSORS, 2023, 23 (12)
  • [5] Chandrappa VY, 2020, IEEE REGION 10 SYMP, P1118
  • [6] Dhungana B., 2021, Semicond. Sci. Inf. Devices, V3, DOI [10.30564/ssid.v3i1.3137, DOI 10.30564/SSID.V3I1.3137]
  • [7] A SMART WEATHER STATION BASED ON SENSOR TECHNOLOGY
    Dordevic, Milos
    Dankovic, Danijel
    [J]. FACTA UNIVERSITATIS-SERIES ELECTRONICS AND ENERGETICS, 2019, 32 (02) : 195 - 210
  • [8] Gaikwad Vijay, 2023, 2023 International Conference on Intelligent Data Communication Technologies and Internet of Things (IDCIoT), P826, DOI 10.1109/IDCIoT56793.2023.10053407
  • [9] IoT-Based Smart Irrigation Systems: An Overview on the Recent Trends on Sensors and IoT Systems for Irrigation in Precision Agriculture
    Garcia, Laura
    Parra, Lorena
    Jimenez, Jose M.
    Lloret, Jaime
    Lorenz, Pascal
    [J]. SENSORS, 2020, 20 (04)
  • [10] Haris M., 2023, 2023 INT C ROB AUT I, P1, DOI [10.1109/ICRAI57502.2023.10089568, DOI 10.1109/ICRAI57502.2023.10089568]