Year: 2024
Type: article
Abstract: The paper plays a crucial role in modern farming, enabling the monitoring of plant health and the efficient use of water. This study proposes an automated plant watering system that operates on a Raspberry Pi, utilizing soil moisture sensing, plant disease detection, and Digital Signal Processing (DSP) methods to assist individuals in making informed decisions. The system has a sensor that checks the soil's moisture level. It turns on a relay-controlled water pump when the soil is too dry and off when the soil is just right. Plant disease detection is also used to identify potential health issues in plants. This turns on the water pump as a safety measure. The Raspberry Pi is the primary computer that utilizes DSP techniques to clean up signals and identify patterns in sensor data and illness data. The system can run on battery power and operates independently, ensuring it can always perform its intended function. This smart irrigation system not only uses water more efficiently, but it also makes it easier to monitor the health of plants. This makes it a useful tool for smart farming and precision agriculture.
Authors: R. Vani, K. Lalitha, C. Shanthini, G. Gowthami, Edwin Shalom Soji, C. Christina Angelin
Institutions: SRM Institute of Science and Technology, Bharath University
Language: English
Topic: Smart Agriculture and AI
Subfield: Plant Science
Domain: Life Sciences
SDG: Zero hunger
Open Access status: bronze
OpenAlex ID: W4413067886