SpringerBriefs in earth system sciences, Journal Year: 2024, Volume and Issue: unknown, P. 153 - 172
Published: Jan. 1, 2024
Language: Английский
SpringerBriefs in earth system sciences, Journal Year: 2024, Volume and Issue: unknown, P. 153 - 172
Published: Jan. 1, 2024
Language: Английский
Engineering Technology & Applied Science Research, Journal Year: 2024, Volume and Issue: 14(3), P. 14411 - 14419
Published: June 1, 2024
This study introduces smart tools and algorithms for controlling monitoring Sustainable Agricultural Greenhouses (SHG). Through the implementation of solar energy, Internet Things (IoT) sensor-actuator networks, artificial intelligence, an SHG with a low carbon footprint has been designed. The former makes minimal use water resources, resulting in reduction costs while optimizing crops harvests. After choosing structure architecture system introduced, optimized PID controllers based on Artificial Neural Networks (ANN) are proposed, maximum power to be derived from Photovoltaic (PV) source efficiency pump improved. Additionally, IoT-based remote control created using ESP32 microcontroller Wi-Fi interface along sensors irradiation, soil moisture, indoor temperature, humidity, lighting, ventilation, flow. collects sensor data real-time employs built-in algorithm update information cloud. experimental measurements carried out allowed verification chosen models simulation results. Thanks hybridization renewable energies, hydroponic techniques, technologies, sustainable practices, this cutting-edge greenhouse creates ideal microclimate year-round cultivation preserving ecosystem's energy resources.
Language: Английский
Citations
0SpringerBriefs in earth system sciences, Journal Year: 2024, Volume and Issue: unknown, P. 153 - 172
Published: Jan. 1, 2024
Language: Английский
Citations
0