LoRa-Based Sensors and Monitoring of Growth Parameters with NearCloud Data Storage for Black Rice Hydroponics

• Main Authors: Cabacungan, Paul M., Cao, Reymond P., Santiago, Paul Ryan A., Mamaradlo, John Paul A., Mercado, Neil Angelo M., Gonzales, Cristina F., Navarrete, Ian A., Cabacungan, Nerissa G., Oppus, Carlos M, Perez, Teresita R, Libatique, Nathaniel Joseph C, Tangonan, Gregory L
• Format: text
• Published: Archīum Ateneo 2023
• Subjects: Black rice hydroponics; Internet of things; LoRa (long-range radio); NearCloud; Precision Agriculture; Protected agriculture; Sensors and wireless monitoring system; Smart farming; Solar power; Computer Engineering; Computer Sciences; Data Storage Systems; Digital Communications and Networking; Electrical and Computer Engineering; Engineering; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/chemistry-faculty-pubs/210
• Institution: Ateneo De Manila University

Our LoRa and NearCloud based systems can gather and store data on the growth parameters of hydroponics-farmed black rice for proper management. These real-time monitoring sensors can provide accurate readings of nutrient contents (nitrogen, phosphorus, potassium), temperature, ph, and other essential information that can be shared to a bigger research community. This is a domestically ready system that enables detection of nutrient dilution and plant diseases, and empowers farmers to give immediate intervention. It allows remote farm management within the range of a LoRa signal. This study illustrates the use of wireless sensors and monitoring systems in hydroponics farming that serve as an efficient and low-cost tool for precise agricultural management.