Design and Development of a IoT-Based Moisture Detection Device for Corn Seeds

Authors

  • Guguh Makbul Rahmadani Fitra Universitas Ahmad Dahlan
  • Sunardi Sunardi Universitas Ahmad Dahlan

DOI:

https://doi.org/10.12928/biste.v5i3.8345

Keywords:

Corn, NodeMCU ESP2866, YL-69 Sensor, DHT 22, IoT, Blynk

Abstract

Lately the planting of corn has increased and increased in several areas. The increasing popularity of corn is due to its high economic value. Corn that has been harvested cannot be sold immediately because it must meet certain moisture content requirements. Farmers must know the maximum value of the moisture content in the corn kernels resulting from the harvest to meet one of the standards set by the industry. The water content contained in corn kernels can have a big influence on determining its quality or selling value. This study aims to design and implement a device for detecting the moisture content of corn kernels as a tool to help farmers produce dry and good quality corn kernels. This research uses an Internet of Things (IoT) based method by sending the corn moisture content and ambient air temperature values to a mobile phone via the Blynk application. The components used are the NodeMCU ESP2866 microcontroller, YL-69 sensor, DHT-22 sensor, 16x2 I2C LCD, and battery. The results of this study have been able to make a water content detector tool on corn kernels based on IoT that can work well. From several tests carried out at night and in the morning, a low error rate of 2.3% was found on the DHT-22 sensor, while on the YL-69 sensor the tests were carried out on three types of corn samples, namely dry, medium, and dry corn kernels. and wet obtained a low error rate of 3.1%.

References

W. Zhou, Y. Jia, A. Peng, Y. Zhang and P. Liu, "The Effect of IoT New Features on Security and Privacy: New Threats, Existing Solutions, and Challenges Yet to Be Solved," in IEEE Internet of Things Journal, vol. 6, no. 2, pp. 1606-1616, 2019, https://doi.org/10.1109/JIOT.2018.2847733.

P. K. Reddy Maddikunta et al., "Unmanned Aerial Vehicles in Smart Agriculture: Applications, Requirements, and Challenges," in IEEE Sensors Journal, vol. 21, no. 16, pp. 17608-17619, 2021, https://doi.org/10.1109/JSEN.2021.3049471.

G. Codeluppi, A. Cilfone, L. Davoli, and G. Ferrari, “LoRaFarM: A LoRaWAN-based smart farming modular IoT architecture,” Sensors, vol. 20, no. 7, p. 2028, 2020, https://doi.org/10.3390/s20072028.

S. Q. Al-Khalidi Al-Maliki, “Increasing non-oil revenue potentiality through digital commerce: the case study in KSAm,” Journal of Money and Business, vol. 1, no. 2, pp. 65-83, 2021, https://doi.org/10.1108/JMB-07-2021-0022.

J. A. Gephart et al., “Scenarios for global aquaculture and its role in human nutrition,” Reviews in Fisheries Science & Aquaculture, vol. 29, no. 1, pp. 122-138, 2020, https://doi.org/10.1080/23308249.2020.1782342.

N. Nleya, M. C. Adetunji, and M. Mwanza, “Current status of mycotoxin contamination of food commodities in Zimbabwe,” Toxins, vol. 10, no. 5, p. 89, 2018, https://doi.org/10.3390/toxins10050089.

F. Ikorasaki and M. B. Akbar, "Detecting Corn Plant Disease with Expert System Using Bayes Theorem Method," 2018 6th International Conference on Cyber and IT Service Management (CITSM), pp. 1-3, 2018, https://doi.org/10.1109/CITSM.2018.8674303.

G. Di Lena et al., “Towards a valorization of corn bioethanol side streams: Chemical characterization of post fermentation corn oil and thin stillage,” Molecules, vol. 25, no. 15, p. 3549, 2020, https://doi.org/10.3390/molecules25153549.

C. Yuan, S. Feng, Z. Huo, and Q. Ji, “Effects of deficit irrigation with saline water on soil water-salt distribution and water use efficiency of maize for seed production in arid Northwest China,” Agricultural water management, vol. 212, pp. 424-432. 2019, https://doi.org/10.1016/j.agwat.2018.09.019.

E. Anerud, R. Jirjis, G. Larsson, and L. Eliasson, “Fuel quality of stored wood chips–Influence of semi-permeable covering material,” Applied energy, vol. 231, pp. 628-634, 2018, https://doi.org/10.1016/j.apenergy.2018.09.157.

L. A. Ningsih, I. Setiawan, T. Syarif, N. Nurdjannah, L. Ifa, I. N. Afiah, and H. S. Kusuma, “Pine-to-Bioenergy: Potential of pine sap as adhesive and pine flower biomass waste in the production of biobriquettes,” Fuel, vol. 350, p.128872, 2023, https://doi.org/10.1016/j.fuel.2023.128872.

N. Manu et al., “Moisture content, insect pest infestation and mycotoxin levels of maize in markets in the northern region of Ghana,” Journal of stored products research, vol. 80, pp. 10-20, 2019, https://doi.org/10.1016/j.jspr.2018.10.007.

A. D. Boursianis et al., “Internet of things (IoT) and agricultural unmanned aerial vehicles (UAVs) in smart farming: A comprehensive review,” Internet of Things, vol. 18, p. 100187, 2022, https://doi.org/10.1016/j.iot.2020.100187.

M. R. Nithya, P. Lakshmi, J. Roshmi, R. Sabana and R. U. Swetha, "Machine Learning and IoT based Seed Suggestion: To Increase Agriculture Harvesting and Development," 2023 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), pp. 1202-1207, 2023, https://doi.org/10.1109/ICSCDS56580.2023.10104981.

A. d. Santos et al., "A Reconfigurable Multisensor Based on Printed Circuit Board Technology for Measuring Moisture Content and Temperature in Stored Grain," in IEEE Transactions on Instrumentation and Measurement, vol. 71, pp. 1-10, 2022, no. 9506110, 2022, https://doi.org/10.1109/TIM.2022.3170979.

LT. S. Gunawan, N. N. Kamarudin, M. Kartiwi and M. R. Effendi, "Automatic Watering System for Smart Agriculture using ESP32 Platform," 2022 IEEE 8th International Conference on Smart Instrumentation, Measurement and Applications (ICSIMA), pp. 185-189, 2022, https://doi.org/10.1109/ICSIMA55652.2022.9928950.

U. Ulfa, S. Syahreza, I. Irhamni, M. S. Surbakti, and F. Fauzi, “Aplikasi Sensor SHT-11 Sebagai Alat Pendeteksi Kadar Air pada Biji Kopi,” Jurnal Komputer, Informasi Teknologi, dan Elektro, vol. 6, no. 2, 2021, https://doi.org/10.24815/kitektro.v6i2.21195.

N. K. Nagrale, V. N. Nagrale and A. Deshmukh, "Iot Based Smart Food Grain Warehouse," 2023 2nd International Conference on Paradigm Shifts in Communications Embedded Systems, Machine Learning and Signal Processing (PCEMS), pp. 1-5, 2023, https://doi.org/10.1109/PCEMS58491.2023.10136049.

K. Chopra, K. Gupta and A. Lambora, "Future Internet: The Internet of Things-A Literature Review," 2019 International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (COMITCon), 2019, https://doi.org/10.1109/COMITCon.2019.8862269.

E. Sisinni, A. Saifullah, S. Han, U. Jennehag and M. Gidlund, "Industrial Internet of Things: Challenges, Opportunities, and Directions," in IEEE Transactions on Industrial Informatics, vol. 14, no. 11, pp. 4724-4734, 2018, https://doi.org/10.1109/TII.2018.2852491.

O. O. Ojo, S. Shah, A. Coutroubis, M. T. Jiménez and Y. Munoz Ocana, "Potential Impact of Industry 4.0 in Sustainable Food Supply Chain Environment," 2018 IEEE International Conference on Technology Management, Operations and Decisions (ICTMOD), pp. 172-177, 2018, https://doi.org/10.1109/ITMC.2018.8691223.

M. Kavre, A. Gadekar and Y. Gadhade, "Internet of Things (IoT): A Survey," 2019 IEEE Pune Section International Conference (PuneCon), pp. 1-6, 2019, https://doi.org/10.1109/PuneCon46936.2019.9105831.

S. Pundir, M. Wazid, D. P. Singh, A. K. Das, J. J. P. C. Rodrigues and Y. Park, "Intrusion Detection Protocols in Wireless Sensor Networks Integrated to Internet of Things Deployment: Survey and Future Challenges," in IEEE Access, vol. 8, pp. 3343-3363, 2020, https://doi.org/10.1109/ACCESS.2019.2962829.

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Published

2023-08-19

How to Cite

[1]
G. M. R. Fitra and S. Sunardi, “Design and Development of a IoT-Based Moisture Detection Device for Corn Seeds”, Buletin Ilmiah Sarjana Teknik Elektro, vol. 5, no. 3, pp. 359–366, Aug. 2023.

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