An inventive use of technology in agriculture is an artificial intelligence-supported intuitive irrigation system that makes use of Arduino and Zigbee in a wireless sensor network. This system makes use of wireless connection, microcontrollers, sensors, and AI. An open-source microcontroller framework serves as the system's brain, gathering information from detectors and managing irrigation equipment. A variety of sensors are positioned across the field to measure various parameters, including relative humidity and air temperature. One of the most crucial issues that needs to be taken into consideration while creating wireless sensor networks is energy conservation. The goal of this research is to figure out how to automate irrigation. This system creates a smart and fully-automated watering arrangement. In order to establish the ideal watering needs of plants, this system first uses artificial intelligence to evaluate a range of environmental characteristics, including soil moisture, the temperature, and the weather. This makes it possible to precisely and strategically water plants, lowering the possibility of stress on plants and production losses brought on by either exceeding or under-watering. Second, using microcontrollers such as Arduino offers a flexible and robust environment for processing, controlling, and gathering data. Thirdly, the system's numerous components, such as detectors, Arduino circuits, and actuators, can communicate with one another more efficiently through the Zigbee wireless sensor network. Zigbee is perfect for large-scale installations because to its low power consumption and strong mesh networking capabilities, which makes it easier to create a decentralized and networked irrigation system.
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Artificial intelligence-supported intuitive Inherent irrigation approach employing Zigbee and Arduino in wireless sensor networks
Published:
02 December 2024
by MDPI
in The 5th International Electronic Conference on Applied Sciences
session Computing and Artificial Intelligence
Abstract:
Keywords: Keywords : Artificial intelligence; intuitive irrigation system ; sensors; energy conservation; strategically water plants; networked irrigation system.
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