Monitoring Smartfarm Using IoT Based for Rice Agriculture
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Abstract
Indonesia is an agrarian country where the majority of its population chooses farming as their occupation, especially for those living in village areas. The most crucial factor influencing agricultural outcomes is the quality of farmland, which depends on environmental conditions such as soil moisture, humidity, and temperature in the farmland itself. These environmental factors are affected by the seasonal changes in Indonesia, namely the rainy season, which provides abundant water for plant energy, and the dry season, which has limited and irregular water supply. The implementation of technology is expected to help the agricultural sector withstand climate change and improve agricultural productivity, thereby increasing farmers income. This research utilizes technology for monitoring agricultural land, particularly focusing on soil moisture, humidity, temperature, and water levels in rice fields. The smart farm monitoring system can assist farmers in monitoring the condition of agricultural land, with criteria including soil moisture, humidity, temperature, and water levels. The smart farm monitoring system is designed to connect to the Internet of Things (IoT), where the monitoring system sends data on soil moisture, air humidity, air temperature, and water levels detected through devices. The detected data is then transmitted to the smart farm web, accessible through smartphones or laptops, allowing remote monitoring.The research results indicate a success rate of 95.9% for soil moisture sensors, 98.6% for ultrasonic sensors, 97.3% for humidity measurements, and 95.3% for temperature measurements. This translates to: Which means that the research to develop this monitoring tool was successful, as evidenced by the high success rate in its experimental use.
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References
M. R. Ningsih, K. A. H. Wibowo, A. U. Dullah, dan J. Jumanto, “Global recession sentiment analysis utilizing VADER and ensemble learning method with word embedding,” J. Soft Comput. Explor., vol. 4, no. 3, 2023, doi: https://doi.org/10.52465/joscex.v4i3.193.
E. Dahouenon-ahoussi, “Recent advances in the use of digital technologies in agri-food processing : A short review,” Appl. Food Res., vol. 3, no. July, 2023, doi: 10.1016/j.afres.2023.100329.
A. B. Setyawan, M. Hannats, dan G. E. Setyawan, “Sistem Monitoring Kelembaban Tanah, Kelembaban Udara, Dan Suhu Pada Lahan Pertanian Menggunakan Protokol MQTT,” J. Pengemb. Teknol. Inf. dan Ilmu Komput. Univ. Brawijaya, vol. 2, no. 12, hal. 7502–7508, 2018.
F. D. Raswatie, “Hubungan Ekspor - Produk Domestik Bruto (PDB) di Sektor Pertanian Indonesia,” J. Agric. Resour. Environ. Econ., vol. 1, no. 1, hal. 28–42, 2014, doi: 10.29244/jaree.v1i1.11288.
F. Z. Fahmi dan I. D. Sari, “Rural transformation, digitalisation and subjective wellbeing: A case study from Indonesia,” Habitat Int., vol. 98, no. April 2019, hal. 102150, 2020, doi: 10.1016/j.habitatint.2020.102150.
M. Torres, R. Howitt, dan L. Rodrigues, “Analyzing rainfall effects on agricultural income: Why timing matters,” EconomiA, vol. 20, no. 1, hal. 1–14, 2019, doi: 10.1016/j.econ.2019.03.006.
R. Criollo et al., “AkvaGIS: An open source tool for water quantity and quality management,” Comput. Geosci., vol. 127, no. November 2018, hal. 123–132, 2019, doi: 10.1016/j.cageo.2018.10.012.
D. Ayisi Nyarko dan J. Kozári, “Information and communication technologies (ICTs) usage among agricultural extension officers and its impact on extension delivery in Ghana,” J. Saudi Soc. Agric. Sci., vol. 20, no. 3, hal. 164–172, 2021, doi: 10.1016/j.jssas.2021.01.002.
I. Eweoya, S. R. Okuboyejo, O. A. Odetunmibi, dan B. O. Odusote, “An empirical investigation of acceptance, adoption and the use of E-agriculture in Nigeria,” Heliyon, vol. 7, no. 7, hal. e07588, 2021, doi: 10.1016/j.heliyon.2021.e07588.
C. Postigo et al., “Investigative monitoring of pesticide and nitrogen pollution sources in a complex multi-stressed catchment: The lower Llobregat River basin case study (Barcelona, Spain),” Sci. Total Environ., vol. 755, hal. 142377, 2021, doi: 10.1016/j.scitotenv.2020.142377.
A. Fatchiya, S. Amanah, dan Y. I. Kusumastuti, “Penerapan Inovasi Teknologi Pertanian dan Hubungannya dengan Ketahanan Pangan Rumah Tangga Petani,” J. Penyul., vol. 12, no. 2, hal. 190, 2016, doi: 10.25015/penyuluhan.v12i2.12988.
M. Khairudin et al., “Estimated use of electrical load using regression analysis and adaptive neuro fuzzy inference system,” J. Eng. Sci. Technol., vol. 16, no. 6, hal. 4452–4467, 2021.
M. Khairudin, M. L. Hakim, O. A. Rahmawan, W. N. Alfiati, A. Widowati, dan E. Prasetyo, “Design of automatic water level control system using fuzzy logic,” J. Phys. Conf. Ser., vol. 2406, no. 1, 2022, doi: 10.1088/1742-6596/2406/1/012006.
M. Khairudin, S. P. Herlambang, H. I. Karim, dan M. N. A. Azman, “Vision-based mobile robot navigation for suspicious object monitoring in unknown environments,” J. Eng. Sci. Technol., vol. 15, no. 1, hal. 152–166, 2020.
P. A. Addo, L. Dwomoh, dan C. Ofori, “Sistema automático de alerta de mantenimiento para transporte pesado,” J. Nas. Tek. Elektro, vol. 11, no. 2, hal. 119–125, 2022.
Z. E. Fitri, A. Baskara, A. Madjid, dan A. M. N. Imron, “Comparison of Classification for Grading Red Dragon Fruit (Hylocereus Costaricensis),” J. Nas. Tek. Elektro, vol. 11, no. 1, hal. 43–49, 2022, doi: 10.25077/jnte.v11n1.899.2022.
F. Rozi et al., “Heliyon Indonesian market demand patterns for food commodity sources of carbohydrates in facing the global food crisis,” Heliyon, vol. 9, no. 6, hal. e16809, 2023, doi: 10.1016/j.heliyon.2023.e16809.
V. Sridevi dan V. Chellamuthu, “Impact of weather on rice - a review,” Int. J. Appl. Res., vol. 1, no. 9, hal. 825–831, 2015.
N. A. Fuadi, M. Y. J. Purwanto, dan S. D. Tarigan, “Kajian Kebutuhan Air dan Produktivitas Air Padi Sawah dengan Sistem Pemberian Air Secara SRI dan Konvensional Menggunakan Irigasi Pipa,” J. Irig., vol. 11, no. 1, hal. 23, 2016, doi: 10.31028/ji.v11.i1.23-32.
M. Khairudin et al., “Temperature control based on fuzzy logic using atmega 2560 microcontroller,” J. Phys. Conf. Ser., vol. 1737, no. 1, 2021, doi: 10.1088/1742-6596/1737/1/012044.
M. Khairudin, S. Yatmono, A. C. Nugraha, M. Ikhsani, A. Shah, dan M. L. Hakim, “Object Detection Robot Using Fuzzy Logic Controller through Image Processing,” J. Phys. Conf. Ser., vol. 1737, no. 1, 2021, doi: 10.1088/1742-6596/1737/1/012045.
M. Khairudin, A. D. Hastutiningsih, T. H. T. Maryadi, dan H. S. Pramono, “Water level control based fuzzy logic controller: Simulation and experimental works,” IOP Conf. Ser. Mater. Sci. Eng., vol. 535, no. 1, 2019, doi: 10.1088/1757-899X/535/1/012021.
L. . F. A. Caesar Pats Yahwe, Isnawaty, “Rancang Bangun Prototype System Monitoring Kelembaban Tanah Melalui Sms Berdasarkan Hasil Penyiraman Tanaman System Monitoring Kelembaban Tanah Melalui Sms Berdasarkan Hasil Penyiraman Tanaman,” semanTIK, vol. 2, no. 1, hal. 97–110, 2016, doi: doi: 10.1016/j.ccr.2005.01.030.
Muhfiyanti, D. Mulyadi, dan S. Aimah, “3 1,2,3,” vol. 8, no. 1, hal. 1660–1667, 2021.
I. Sommerville, Software Engineering (9th ed.; Boston, Ed.). Massachusetts: Pearson Education. 2011.
M. Roopa, M. Kushmithaa, dan M. H. Mukrram, “Arduino Automatic Plant Irrigation using Message Alert Based,” IJIRST-International J. Innov. Res. Sci. Technol., vol. 4, no. 12, hal. 64–68, 2018.
S. Ravidas, A. Lekidis, F. Paci, dan N. Zannone, “Access control in Internet-of-Things: A survey,” J. Netw. Comput. Appl., vol. 144, no. May 2018, hal. 79–101, 2019, doi: 10.1016/j.jnca.2019.06.017.
A. Rahmah, P. Sukmasetya, M. Syaiful Romadhon, dan A. Rio Adriansyah, “Developing Distance Learning Monitoring Dashboard with Google Sheet: An Approach for Flexible and Low-Price Solution in Pandemic Era,” 7th Int. Conf. ICT Smart Soc. AIoT Smart Soc. ICISS 2020 - Proceeding, 2020, doi: 10.1109/ICISS50791.2020.9307558.
L. Yu et al., “Review of research progress on soil moisture sensor technology,” Int. J. Agric. Biol. Eng., vol. 14, no. 4, hal. 32–42, 2021, doi: 10.25165/j.ijabe.20211404.6404.
M. Pramanik et al., “Automation of soil moisture sensor-based basin irrigation system,” Smart Agric. Technol., vol. 2, no. December 2021, hal. 100032, 2022, doi: 10.1016/j.atech.2021.100032.
Prof . Pravin M. Tambe, Arati Gawali, Avhad Akshada, Khatale Neha, dan Avhad Sonali, “IoT Based Smart Home and Plant Watering System,” Int. J. Sci. Res. Sci. Eng. Technol., vol. 4099, hal. 92–96, 2022, doi: 10.32628/ijsrset229130.
D. V. Debila Mol, Delsya Mol, D. V., S. G. Sheela, dan G. T. Jenisha, “IOT BASED PLANT WATERING AND MONITERING SYSTEM FOR SMART GARDENING,” Int. J. Recent TRENDS Eng. Res., no. 07, hal. 140–144, doi: https://doi.org/10.23883/ijrter.conf.20190304.023.aes8g.
I. U. Nadhori, M. U. H. Al Rasyid, A. S. Ahsan, M. A. Guna D, dan B. R. Mauludi, “SmartFarm : IoT-Based Intelligent Plant Watering System,” Int. J. Eng. Technol., vol. 13, no. 6, hal. 141–146, 2021, doi: 10.21817/ijet/2021/v13i6/211306001.
H. Kuruva dan B. Sravani, “REMOTE PLANT WATERING AND MONITORING SYSTEM BASED ON IoT,” Int. J. Technol. Res. Eng., vol. 4, no. 4, hal. 668–671, 2016.
S. Kaunkid, A. Aurasopon, dan A. Chantiratiku, “Automatic Milk Quantity Recording System for Small-Scale Dairy Farms Based on Internet of Things,” Agric., vol. 12, no. 11, 2022, doi: 10.3390/agriculture12111877.
B. Kumkhet, P. Rakluea, P. Sangmahamad, V. Pirajnanchai, T. Pechrkool, dan T. Sutham, “IoT-based Automatic Brightness and Soil Moisture Control System for Gerbera Smart Greenhouse,” Proc. 2022 Int. Electr. Eng. Congr. iEECON 2022, no. April, 2022, doi: 10.1109/iEECON53204.2022.9741578.