Implementation of an intelligent sensor for measurement and prediction of solar radiation and atmospheric temperature

Open source hardware to monitor environmental parameters in precision agriculture

“…Several authors have used Arduino to monitor ambient conditions such as temperature or humidity. Gomes, Ferreira, and Ruano (2011) measure and predict temperature, Rodriguez et al (2011) monitor temperature of data centres and Barroca et al (2013) measured temperature and humidity inside structures.…”

Low-Cost Data Acquisition System for Solar Thermal Collectors

“…All hardware components were readily available and assembled using simple techniques. The selected components allow the ESP32 to be interfaced with precision instruments such as a Class I pyranometer, advancing the work of Gomez et al [2] one step further. Since the ESP32 has built-in WiFi support, no Ethernet shield or wiring is necessary to connect to the internet, as mentioned in older publications [8,10].…”

“…In 2011, Rodriguez et al [1] used an Arduino board to measure temperature and relative humidity inside a data center and to transfer the data over the Zigbee mesh network. During the same year, an Arduino was used by Gomes et al [2] to interface solar radiation and LM35Z temperature sensors to a computer, as well as to control a pyranometer shadow band and to process Global Positioning System (GPS) data. Solar radiation measurements from two different sensors (SPLite2 and BF3) were compared, yielding satisfactory results.…”

Smart soil monitoring and water conservation using irrigation on technology

“…The data is classified depending upon the IP address for which it has been sent accordingly the IoT module sends data to the concerned machine [13][14][15]. There are numerous techniques of creating an automated or smart irrigation techniques using sensors and backed up by IoT to provide for communication [16][17][18][19][20][21][22][23][24][25]. But the major drawback of most of these systems are that they are completely dependent on the sensors data which might be correct to certain extent but the sensors cannot be hundred percent efficient every time moreover irrigation is a thing which is land and crop specific hence complete automation will lead to unwanted extra loss of water sometimes and may also lead to extreme consumption of energy from the grid thereby making it a very costly affair.…”