Fuzzy-based Smart Farming and Consumed Energy Comparison Using Internet of Things
نویسندگان
چکیده
Hydroponics is a farming method that saves both space and land. Hydroponic plants should consider pH, nutrition, regulated water, illuminance. The two latter can be conducted using pumps LEDs, respectively; therefore, electrical energy required. This research investigated hydroponics consumption concerns in prototype design, implementation, testing, analysis based on fuzzy logic the Internet of Things (IoT). It employed BH1750, SEN0244 TDS, PH-4502C, ACS712, 170640 sensors for temperature, illuminance, electric current, voltage sensing, respectively. control parts were an Arduino Mega 2560 microcontroller board, ESP8266 NodeMCU, DS3231 RTC, output growing light LCD, DC peristaltic pumps. Some swamp cabbage plant samples three comparative prototypes: fuzzy-based, scheduled-based, natural methods. testing was 36 days. results showed typical difference between fuzzy-based methods 1.75 cm (26.3%), scheduled-based 1.28 (22.8%). Furthermore, growth rates 0.50 cm/day, 0.44 0.32 cm/day methods, Moreover, comparison, consumed saving with against 49.11 Wh (4.75%), 49.02 or 48.99 (4.74%), ordinary, Simpson’s composite rule, trapezoidal rule computation usage undoubtedly increased plant’s height rate, lower than method.
منابع مشابه
Internet of Things Based Wireless Plant Sensor for Smart Farming
Received Jan 16, 2018 Revised Mar 19, 2018 Accepted Apr 18, 2018 About 10% of the world’s workforce is directly dependent on agriculture for income and about 99% of food consumed by humans comes from farming. Agriculture is highly climate dependent and with global warming and rapidly changing weather it has become necessary to closely monitor the environment of growing crops for maximizing outp...
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ژورنال
عنوان ژورنال: IEEE Access
سال: 2023
ISSN: ['2169-3536']
DOI: https://doi.org/10.1109/access.2023.3291616