LoRa-Based Sensors and Monitoring of Growth Parameters with NearCloud Data Storage for Black Rice Hydroponics
Document Type
Conference Proceeding
Publication Date
1-1-2023
Abstract
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.
Recommended Citation
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.; and Tangonan, Gregory L., (2023). LoRa-Based Sensors and Monitoring of Growth Parameters with NearCloud Data Storage for Black Rice Hydroponics. Archīum.ATENEO.
https://archium.ateneo.edu/chemistry-faculty-pubs/210