Smartphone-Operated Smart Farm Watering System Using Long-Range Communication Technology

Abhiram, M.S.D., Kuppili, J., & Manga, N.A. (2020). Smart Farming System using IoT for Efficient Crop Growth. In 2020 IEEE International Students’ Conference on Electrical, Electronics and Computer Science (SCEECS), 22-23 February 2020 (pp. 1-4). IEEE. Search in Google Scholar

Hwang, K., Fox, G.C., & Dongarra, J.J. (2013). Distributed and Cloud Computing from Parallel Processing to the Internet of Things. San Mateo: Elsevier. Search in Google Scholar

Jabro, J.D., Stevens, W.B., Iversen, W.M, Allen, B.L., & Sainju, U.M. (2020). Irrigation Scheduling Based on Wireless Sensors Output and Soil-Water Characteristic Curve in Two Soils, Sensors, 20(5), 1336. Search in Google Scholar

Lee, K.M. (2017). Construction of a Harmful Animals Scaring System Protecting Plantation Farm with Smart Phone Application. International Information Institute (Tokyo). Information, 20(9A), 6277-6285. Search in Google Scholar

Lee, K.M. (2019). Implementation of a Smart Phone Application Controlling Agricultural Chemical Spray System with Bluetooth Communication. Information: an international Interdisciplinary Journal, 22(2), 85-93. Search in Google Scholar

Lee, K.M., (2018). Design of a Smart Phone Application Controlling Agricultural Watering System with a Drone. In Lecture Notes in Engineering and Computer Science: Proceedings of The World Congress on Engineering, 25-27 October 2018 (pp. 30-32) San Francisco, USA: International Association Engineers. Search in Google Scholar

Lee, K.M., (2022a). Distributed Computing Agriculture Water Spraying System Using LORA Communication. In 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET), 20-22 July 2022 (pp. 1-5). IEEE. Search in Google Scholar

Lee, K.M., (2022b). Application of the LORA Communication Technology to a Drone Monitoring and Chemical Spraying System on Agriculture Field. International Information Institute (Tokyo). Information, 5(4), 245-260. Search in Google Scholar

Mah, S.H., & Kim, B.S., (2019). Lo-Ra Technology Analysis and LoRa Use Case Analysis By Country. The Journal of The Institute of Internet, Broadcasting and Communication, 19(1), 15-20. Search in Google Scholar

Millán, S., Campillo, C., Casadesús, J., Pérez Rodríguez, J.M., & Prieto, M.H., (2020). Automatic Irrigation Scheduling on a Hedgerow Olive Orchard Using an Algorithm of Water Balance Readjusted with Soil Moisture Sensors. Sensors, 20(9), 2526. Search in Google Scholar

Othman, M.M., Ishwarya, K.R., Ganesan, M., & Loganathan, G.B. (2021). A Study on Data Analysis and Electronic Application for the Growth of Smart Farming. Alinteri Journal of Agriculture Sciences, 36(1), 209-218. Search in Google Scholar

Placidi, P., Gasperini, L., Grassi, A., Cecconi, M., & Scorzoni, A., (2020). Characterization of Low-Cost Capacitive Soil Moisture Sensors for IoT Networks. Sensors, 20(12), 3585. Search in Google Scholar

Sharmrat, F.M.J.M., Md Asaduzzaman, Ghosh, P., Md Sultan, D., & Tasmin, Z., (2020). A Web Based Application for Agriculture: “Smart Farming System”. International Journal of Emerging Trends in Engineering Research, 8(6), 2309-2320. Search in Google Scholar

Sivabalan, K.N., Anandkumar, V., & Balakrishnan, S., (2020). IOT Based Smart Farming for Effective Utilization of Water and Energy. International Journal of Advanced Science and Technology, 29(7s), 2496-2500. Search in Google Scholar

Tagarakis, A.C, Dordas, C., Lampridi, M., Kateris, D., & Bochtis, D., (2021). A Smart Farming System for Circular Agriculture. Engineering Proceedings, 9(1), 10. Search in Google Scholar