⭐⭐⭐⭐⭐ #FPGA Based Meteorological Monitoring Station
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The document describes an FPGA-based meteorological monitoring station developed by researchers at Escuela Superior Politécnica del Litoral in Ecuador. It covers various topics, including system design, high-resolution data acquisition, related work on similar monitoring systems, and associated numerical results. The document aims to provide insights into agricultural weather monitoring technologies and includes a citation for the dataset utilized.
![Related Work
• M. Haefke et al. proposed a weather station
based on ZigBee, to monitor variables such as
temperature, pressure, sunlight intensity, and
humidity [6].
• Aziz et Al. proposed similar system based on
FPGA considering humidity and light intensity to
determine when to water the plants, using
neural networks [8].
• Shaari et Al. proposed a Artificial Neural
Network (ANN) based on FPGA for the
prediction of Solar Radiation using Data from
sunlight duration and average temperature [10].](https://image.slidesharecdn.com/saspresentationpaper10vasanzafpga-211008192647/85/FPGA-Based-Meteorological-Monitoring-Station-4-320.jpg)
⭐⭐⭐⭐⭐ #FPGA Based Meteorological Monitoring Station
- 1. FPGA Based Meteorological Monitoring Station Víctor Asanza , Rebeca Estrada Pico, Danny Torres, Steven Santillan and Juan Cadena Escuela Superior Politécnica del Litoral, ESPOL, Guayaquil, Ecuador Centro de Tecnologías de Información, CTI Facultad de Ingeniería en Electricidad y Computación, FIEC
- 2. Topics • Introduction • Related Work • High-resolution Data Acquisition • Methodology and System Model • Numerical Results • Conclusions FPGA Based Meteorological Monitoring Station
- 3. Introduction • Field Programmable Gate Array (FPGA) • System on Chip (SoC) • Nios II Processor • Hard Processor System (HPS) • Advanced RISC Machine (ARM)
- 4. Related Work • M. Haefke et al. proposed a weather station based on ZigBee, to monitor variables such as temperature, pressure, sunlight intensity, and humidity [6]. • Aziz et Al. proposed similar system based on FPGA considering humidity and light intensity to determine when to water the plants, using neural networks [8]. • Shaari et Al. proposed a Artificial Neural Network (ANN) based on FPGA for the prediction of Solar Radiation using Data from sunlight duration and average temperature [10].
- 5. High-resolution Data Acquisition Dataset Citation: Juan Cadena, Steven Santillan, Víctor Asanza, Rebeca Estrada, July 11, 2021, "Weather Monitoring Station For Farms And Agriculture", IEEE Dataport, doi: https://dx.doi.org/10.21227/mdfs-ya42. * Values are sampled each 30 seconds and saved as CSV.
- 6. Methodology and System Model
- 7. Methodology and System Model
- 10. Conclusions
- 11. For more information Víctor Asanza Mail: vasanza@espol.edu.ec Facultad de Ingeniería en Electricidad y Computación, FIEC Escuela Superior Politécnica del Litoral, ESPOL Campus Gustavo Galindo Km 30.5 Vía Perimetral, P.O. Box 09-01-5863 090150 Guayaquil, Ecuador
- 13. Thank you!