Monitoring Soil Temperature and Humidity in an IoT-Based Green House to Improve Plant Management
DOI:
https://doi.org/10.59923/mechatronics.v1i2.129Keywords:
Agriculture, Monitoring, SensorAbstract
This study aims to develop and validate a soil temperature and humidity monitoring system using DHT 11 and YL 69 sensors connected to an ESP 8266 microcontroller. Calibration was performed by comparing sensor data with a reference instrument, followed by regression analysis to determine sensor accuracy. Validation involved calculating the standard deviation and accuracy of the sensor measurements. Temperature and soil humidity monitoring was conducted over five days in September, with average temperature measurements ranging from 22.4°C to 32.6°C and soil humidity ranging from 66.47% to 88.78%. The results showed that the temperature sensor had an average accuracy of 99.19%, while the humidity sensor had an average accuracy of 97.95%. The low standard deviation values for both sensors indicate good measurement consistency. These findings align with the literature emphasizing the importance of high-performance sensors for environmental monitoring in smart agriculture systems. The implementation of this system is expected to enhance the efficiency and effectiveness of agricultural management and support the sustainability of agricultural practices.
References
Almalki, Faris A., Ben Othman Soufiene, Saeed H. Alsamhi, and Hedi Sakli. 2021. “A Low-Cost Platform for Environmental Smart Farming Monitoring System Based on Iot and Uavs.” Sustainability (Switzerland) 13 (11). https://doi.org/10.3390/su13115908.
Ardiansah, Irfan, Nurpilihan Bafdal, Edy Suryadi, and Awang Bono. 2020a. “Greenhouse Monitoring and Automation Using Arduino: A Review on Precision Farming and Internet of Things (IoT).” InternationalJournalon Advanced Science Engineering Information Technology 10 (2).
———. 2020b. “Greenhouse Monitoring and Automation Using Arduino: A Review on Precision Farming and Internet of Things (IoT)” 10 (2).
Atmaja, A. P., A. E. Hakim, A. P.A. Wibowo, and L. A. Pratama. 2021. “Communication Systems of Smart Agriculture Based on Wireless Sensor Networks in IoT.” Journal of Robotics and Control (JRC) 2 (4): 297–301. https://doi.org/10.18196/jrc.2495.
Barik, Lalbihari. 2019. “IoT Based Temperature and Humidity Controlling Using Arduino and Raspberry Pi.” IJACSA) International Journal of Advanced Computer Science and Applications. Vol. 10. www.ijacsa.thesai.org.
Bouali, Et Taibi, Mohamed Riduan Abid, El Mahjoub Boufounas, Tareq Abu Hamed, and Driss Benhaddou. 2022. “Renewable Energy Integration into Cloud IoT-Based Smart Agriculture.” IEEE Access 10: 1175–91. https://doi.org/10.1109/ACCESS.2021.3138160.
Feng, Yuhan. 2022. “Application of Edge Computing and Blockchain in Smart Agriculture System.” Mathematical Problems in Engineering 2022. https://doi.org/10.1155/2022/7198624.
Gaikwad, Sandeep V., Amol D. Vibhute, Karbhari V. Kale, and Suresh C. Mehrotra. 2021. “An Innovative IoT Based System for Precision Farming.” Computers and Electronics in Agriculture 187 (August). https://doi.org/10.1016/j.compag.2021.106291.
Geng, Xia, Qinglei Zhang, Qinggong Wei, Tong Zhang, Yu Cai, Yong Liang, and Xiaoyong Sun. 2019. “A Mobile Greenhouse Environment Monitoring System Based on the Internet of Things.” IEEE Access 7: 135832–44. https://doi.org/10.1109/ACCESS.2019.2941521.
Giménez, Almudena, Juan A. Fernández, José A. Pascual, Margarita Ros, and Catalina Egea-Gilabert. 2020. “Application of Directly Brewed Compost Extract Improves Yield and Quality in Baby Leaf Lettuce Grown Hydroponically.” Agronomy 10 (3). https://doi.org/10.3390/agronomy10030370.
Haseeb, Khalid, Ikram Ud Din, Ahmad Almogren, and Naveed Islam. 2020. “An Energy Efficient and Secure IoT-Based WSN Framework: An Application to Smart Agriculture.” Sensors (Switzerland) 20 (7). https://doi.org/10.3390/s20072081.
Ismiwati Chalifah. 2024. “Forecasting the Number of Sales of Mie Sedap at PT. Wings Surya Probolinggo Branch With Single Exponential Smoothing Method.” Engineering: Journal of Mechatronics and Education 1 (1): 8–14. https://doi.org/10.59923/mechatronics.v1i1.16.
Jamali, Mohsen, Saeid Soufizadeh, Bijan Yeganeh, and Yahya Emam. 2021. “A Comparative Study of Irrigation Techniques for Energy Flow and Greenhouse Gas (GHG) Emissions in Wheat Agroecosystems under Contrasting Environments in South of Iran.” Renewable and Sustainable Energy Reviews 139 (April). https://doi.org/10.1016/j.rser.2021.110704.
Karar, M. E., M. F. Al-Rasheed, A. F. Al-Rasheed, and Omar Reyad. 2020. “Iot and Neural Network-Based Water Pumping Control System for Smart Irrigation.” Information Sciences Letters 9 (2): 107–12. https://doi.org/10.18576/isl/090207.
Karar, Mohamed Esmail, Fahad Alsunaydi, Sultan Albusaymi, and Sultan Alotaibi. 2021. “A New Mobile Application of Agricultural Pests Recognition Using Deep Learning in Cloud Computing System.” Alexandria Engineering Journal 60 (5): 4423–32. https://doi.org/10.1016/j.aej.2021.03.009.
Mane, Supriya A., Digambar Y. Nadargi, Jyoti D. Nadargi, Omar M. Aldossary, Mohaseen S. Tamboli, and Vinayak P. Dhulap. 2020. “Design, Development and Validation of a Portable Gas Sensor Module: A Facile Approach for Monitoring Greenhouse Gases.” Coatings 10 (12): 1–10. https://doi.org/10.3390/coatings10121148.
Muthmainnah, Muthmainnah, Muhammad Fakhri Mulyadi, Imam Tazi, Agus Mulyono, Farid Samsu Hananto, Ninik Chamidah, and Kusairi. 2024. “Development of an Automated Monitoring System for Soil Moisture and Temperature in Smart Agriculture to Enhance Lettuce Farming Productivity Based on IoT.” Multidisciplinary Science Journal 6 (11). https://doi.org/10.31893/multiscience.2024233.
Niu, Shuhui, Kai Zhang, Zhifei Li, Jun Xie, Guangjun Wang, Hongyan Li, Ermeng Yu, Yun Xia, Jingjing Tian, and Wangbao Gong. 2023. “Analysis of the Structure and Function of Microbial Community in Late-Stage of Grass Carp (Ctenopharyngodon Idella) Farming Ponds.” Aquaculture Reports 30 (1): 101556. https://doi.org/10.1016/j.aqrep.2023.101556.
Omar, Nabilah Binti, Hushairi Bin Zen, Nadia Nicole Anak Aldrin, Waluyo, and Febrian Hadiatna. 2020. “Accuracy and Reliability of Data in IoT System for Smart Agriculture.” International Journal of Integrated Engineering 12 (6): 105–16. https://doi.org/10.30880/IJIE.2020.12.06.013.
Prayitno, Wahyu Adi, Adharul Muttaqin, and Dahnial Syauqy. 2017. “Sistem Monitoring Suhu, Kelembaban, Dan Pengendali Penyiraman Tanaman Hidroponik Menggunakan Blynk Android.” Jurnal Pengembangan Teknologi Informasi Dan Ilmu Komputer 1 (4): 292–97. https://doi.org/10.1161/CIRCRESAHA.112.270033.
Rawi, Roziyani, Muhammad Shakhil Iman Hasnan, and Aznida Abu Bakar Sajak. 2020. “Palm Oil Soil Monitoring System for Smart Agriculture.” International Journal of Integrated Engineering 12 (6): 189–99. https://doi.org/10.30880/IJIE.2020.12.06.022.
Ruslan, Ahmad Alfian, Shafina Mohamed Salleh, Sharifah Fatmadiana, Wan Muhamad Hatta, Aznida Abu, and Bakar Sajak. n.d. “IoT Soil Monitoring Based on LoRa Module for Oil Palm Plantation.” IJACSA) International Journal of Advanced Computer Science and Applications. Vol. 12. www.ijacsa.thesai.org.
Sahour, Abdelhakim, Farouk Boumehrez, Mohamed Benouaret, and Azzouz Mokhneche. 2021. “Greenhouse Climate Controller by Using of Internet of Things Technology and Fuzzy Logic.” Instrumentation Mesure Metrologie 20 (1): 29–38. https://doi.org/10.18280/I2M.200105.
Schröder, Corinna, Franziska Häfner, Oliver Christopher Larsen, and Ariane Krause. 2021. “Urban Organic Waste for Urban Farming: Growing Lettuce Using Vermicompost and Thermophilic Compost.” Agronomy 11 (6). https://doi.org/10.3390/agronomy11061175.
Serikul, Peerasak, Nuttapun Nakpong, and Nitigan Nakjuatong. 2018. “Smart Farm Monitoring via the Blynk IoT Platform.” 2018 Sixteenth International Conference on ICT and Knowledge Engineering, 70–75.
Tang, Wei, Amin Biglari, Ryan Ebarb, Tee Pickett, Samuel Smallidge, and Marcy Ward. 2021. “A Smart Sensing System of Water Quality and Intake Monitoring for Livestock and Wild Animals.” Sensors 21 (8). https://doi.org/10.3390/s21082885.
Thomas, Rosemary J., Gregory O’Hare, and David Coyle. 2023. “Understanding Technology Acceptance in Smart Agriculture: A Systematic Review of Empirical Research in Crop Production.” Technological Forecasting and Social Change 189 (April). https://doi.org/10.1016/j.techfore.2023.122374.
Wang, Wei, La Zhuo, Meng Li, Yilin Liu, and Pute Wu. 2019. “The Effect of Development in Water-Saving Irrigation Techniques on Spatial-Temporal Variations in Crop Water Footprint and Benchmarking.” Journal of Hydrology 577 (October). https://doi.org/10.1016/j.jhydrol.2019.123916.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Muthmainnah Muthmainnah, Ninik Chamidah, Kusairi Kusairi
This work is licensed under a Creative Commons Attribution 4.0 International License.
