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Название: Record Weather Data with Arduino and Solar Power: Use Sensors to Record and Analyze Meteorological Data
Автор: Chunyan Li
Издательство: Apress
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf
Размер: 19.1 MB
Make a stand-alone weather data recorder to collect air pressure, air temperature, and humidity data using only an Arduino, SD-card, LCD display, and solar power. Start with that base data. Then easily extend your project to include more such as an XBee radio and sensors for air quality and radiation. Chunyin has years of experience as a researcher in meteorology and oceanography. The projects in this book are based on actual deployable weather data recorders used for collegiate and professional applications. These weather recorders were deployed over coastal water and lands including the Arctic. And you can deploy your own finished model in your backyard, school yard, roof top, or even in the field to collect data at programmed intervals. For meteorological hobbyists, Makers, and students interested in learning how to collect and analyze data with low-cost hardware.
Автор: Chunyan Li
Издательство: Apress
Год: 2024
Страниц: 243
Язык: английский
Формат: pdf
Размер: 19.1 MB
Make a stand-alone weather data recorder to collect air pressure, air temperature, and humidity data using only an Arduino, SD-card, LCD display, and solar power. Start with that base data. Then easily extend your project to include more such as an XBee radio and sensors for air quality and radiation. Chunyin has years of experience as a researcher in meteorology and oceanography. The projects in this book are based on actual deployable weather data recorders used for collegiate and professional applications. These weather recorders were deployed over coastal water and lands including the Arctic. And you can deploy your own finished model in your backyard, school yard, roof top, or even in the field to collect data at programmed intervals. For meteorological hobbyists, Makers, and students interested in learning how to collect and analyze data with low-cost hardware.