The study proposes a water irrigation-based solar-powered system for homegrown plants and greenhouse gardens, utilizing solar energy for electricity consumption. The Arduino platform programs sensors and water motors, ensuring optimal operation. A water tank supplies plants with water through a water motor and sensor, while an ATmega328 microprocessor detects plant moisture levels, ensuring an efficient water supply for general plant maintenance. The Arduino controls a water motor, powered by a 3V DC voltage, and a humidity sensor. The sensor sends 3V DC to the motor, allowing water to be pumped. The Arduino's trigger pin is set to the 8th, and the sensor signals the Arduino when the soil moisture value decreases. The drip irrigation method is designed to implement the irrigation process by pumping the water in the tank through the pipes using a DC motor. The I-V and P-V curves of solar cells connected serially show an open circuit voltage of 27 V and a short circuit of 190 mA. The P-V curve shows a 3-watt maximum power for 20 V, which can safely charge a 6V, 2 Ah current battery for 4 hours. The Arduino-based autonomous irrigation system saves farmers' physical work and improves resource efficiency. The irrigation system utilizes a boost converter, a DC-DC switching converter, to step up the input voltage and increase the output voltage, enabling remote monitoring of humidity, water, and energy consumption in flowerpots. This converter is safe for farmers to use for irrigation and agriculture. The converter achieves significant step-up voltage gain with a suitable duty ratio and minimal voltage stress on the power switches. Additionally, energy stored in the connected inductor's leaky inductor can be recycled to power the output. The designed drip irrigation is sustainable and environmentally friendly and can be used in agriculture to produce many plants, legumes, starchy foods, and fruits.
The study proposes a water irrigation-based solar-powered system for homegrown plants and greenhouse gardens, utilizing solar energy for electricity consumption. The Arduino platform programs sensors and water motors, ensuring optimal operation. A water tank supplies plants with water through a water motor and sensor, while an ATmega328 microprocessor detects plant moisture levels, ensuring an efficient water supply for general plant maintenance. The Arduino controls a water motor, powered by a 3V DC voltage, and a humidity sensor. The sensor sends 3V DC to the motor, allowing water to be pumped. The Arduino's trigger pin is set to the 8th, and the sensor signals the Arduino when the soil moisture value decreases. The drip irrigation method is designed to implement the irrigation process by pumping the water in the tank through the pipes using a DC motor. The I-V and P-V curves of solar cells connected serially show an open circuit voltage of 27 V and a short circuit of 190 mA. The P-V curve shows a 3-watt maximum power for 20 V, which can safely charge a 6V, 2 Ah current battery for 4 hours. The Arduino-based autonomous irrigation system saves farmers' physical work and improves resource efficiency. The irrigation system utilizes a boost converter, a DC-DC switching converter, to step up the input voltage and increase the output voltage, enabling remote monitoring of humidity, water, and energy consumption in flowerpots. This converter is safe for farmers to use for irrigation and agriculture. The converter achieves significant step-up voltage gain with a suitable duty ratio and minimal voltage stress on the power switches. Additionally, energy stored in the connected inductor's leaky inductor can be recycled to power the output. The designed drip irrigation is sustainable and environmentally friendly and can be used in agriculture to produce many plants, legumes, starchy foods, and fruits.
Primary Language | English |
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Subjects | Circuits and Systems, Electrical Energy Storage, Power Plants, Photovoltaic Power Systems |
Journal Section | Research Articles |
Authors | |
Early Pub Date | August 12, 2024 |
Publication Date | August 31, 2024 |
Submission Date | March 28, 2024 |
Acceptance Date | July 17, 2024 |
Published in Issue | Year 2024 Volume: 10 Issue: 2 |