Weather Monitoring Station For Farms And Agriculture
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https://ieee-dataport.org/documents/weather-monitoring-station-farms-and-agriculture
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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).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_17V. 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/AE49394.2020.9232863Cordova, 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
提供机构：
IEEE DataPort
创建时间：
2021-07-11
