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Application of Light Sensors Amplifier and Wireless Networking Sensor for Ambient Light Data to the Android Platform
Author(s) -
Ihor Lapyga
Publication year - 2019
Publication title -
international journal of recent technology and engineering
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.c4097.098319
Subject(s) - greenhouse , computer science , android (operating system) , environmental science , wireless sensor network , remote sensing , real time computing , computer network , geography , horticulture , biology , operating system
Modern technologies of growing different plants types in greenhouses envisage automated systems use for monitoring climatic parameters, on which the ripening of fruits and yields depend. At the development and application of such automated systems, the focus is on measuring the accuracy of temperature and humidity soil, whereas to determine the level of illumination used sensors, that measure the total illumination or Photosynthetic Active Radiation (400-700 nm) with error up to 20%. Under conditions of insufficient photon flux density, even at the optimal moisture level and temperature in the greenhouse, fruiting and crop yields may not achieve high performance. This article proposes a greenhouse lighting control system in which the LI-200R Pyranometer and LI-190R-BL Quantum Sensor measure not only total illumination from the wavelength of 400–1000 nm, but also PPFD from a wavelength of 400–700 nm. Light Sensor Amplifier provides an increase in the source signal of the measuring sensors and reduces their measurement error to 1%. The applied SMART Connectivity Platform ESP8266 Version ESP 07 is more robust to interference and ensures the transfer of measured data to the server. Created software application for smartphones with Android OS, ensures remote user access to the database via the Internet for remote control and analysis of climatic indicators in the greenhouse. The proposed illumination control system in the greenhouse contributes to the improvement of precision farming

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