Weather Monitoring Station For Farms And Agriculture

This dataset includes the 3-day record (December 6 to December 8, 2020) of a plantation in the city of Guayaquil - Ecuador. This dataset includes the recording of the following variables: Relative Humidity, Environment Temperature, Soil moisture, Light intensity, and Rain Occurrence. An arduino uno module was used to record data, connected to the following sensors:

• DHT11, FC28, LDR and FC-37.
• The sampling frequency of one data every thirty seconds and with a resolution of 8 bits (UTF-8).

⭐ When using this resource, please cite the original publication:

• V. Asanza, R. E. Pico, D. Torres, S. Santillan and J. Cadena, "FPGA Based Meteorological Monitoring Station," 2021 IEEE Sensors Applications Symposium (SAS), 2021, pp. 1-6, doi: 10.1109/SAS51076.2021.9530151.

Read paper presentation:

• https://vasanza.blogspot.com/2021/10/fpga-based-meteorological-monitoring.html

 Source code repository:

• https://github.com/vasanza/Weather-Monitoring-Station

References:

• Asanza V., Sanchez G., Cajo R., Peláez E. (2021) Behavioral Signal Processing with Machine Learning Based on FPGA. In: Botto-Tobar M., Zamora W., Larrea Plúa J., Bazurto Roldan J., Santamaría Philco A. (eds) Systems and Information Sciences. ICCIS 2020. Advances in Intelligent Systems and Computing, vol 1273. Springer, Cham. https://doi.org/10.1007/978-3-030-59194-6_17
• V. A. Armijos, N. S. Chan, R. Saquicela and L. M. Lopez, "Monitoring of system memory usage embedded in FPGA," 2020 International Conference on Applied Electronics (AE), Pilsen, Czech Republic, 2020, pp. 1-4, doi: 10.23919/AE49394.2020.9232863
• Cordova, R., Garcia, I. M., Munoz-Arcentales, A., Asanza, V., & Vargas, W. A. V. (2018). Modelo de red de comunicación que soporta un sistema de detección basado en criterios de robustez. IEEE Latin America Transactions, 16(10), 2600-2608