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• W4387348169 abstract "Irrigation plays a critical role in industrial farming. In this research study, an intelligent method is presented for irrigating and monitoring the entire field through a Precision Irrigation using Grow Lights and IoT cloud monitoring system. This technology has proven to be more successful than traditional field monitoring systems. Water is a costly resource in most parts of the world, and this study proposes an automated irrigation system prototype that addresses this issue. This LoRa-based farming system also utilizes artificial grow lights to enhance plant growth efficiency, where the plant is provided with the essential light source needed by controlling the light intensity of the grow lights. Several sensors, such as the Soil Moisture Sensor, DHT11 Sensor, IR Sensor are incorporated to measure moisture level, temperature and humidity, and movement in plants, respectively. These sensors work together to determine the optimal time to water the field by monitoring different factors. The NodeMCU microcontroller controls both sensors, which can be placed on the plant side to read moisture, humidity, and temperature. The water pump on the receiver end irrigates the plant according to its requirements. The high-power LEDs in the grow lights simulate the process of photosynthesis, which helps to improve plant growth efficiency. The sensor data can also be transferred to the ThingSpeak IoT Cloud platform using LoRa, where it is stored for remote monitoring and analysis. This proposed method contributes to the greenhouse farming where it enables effective irrigation of plants and reduces risks caused by unfavorable weather conditions." @default.
• W4387348169 created "2023-10-05" @default.
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• W4387348169 date "2023-06-01" @default.
• W4387348169 modified "2023-10-06" @default.
• W4387348169 title "LoRa Based Precision Irrigation and Monitoring System" @default.
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• W4387348169 doi "https://doi.org/10.1109/icpcsn58827.2023.00259" @default.
• W4387348169 hasPublicationYear "2023" @default.
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