Authors:
R. Vani, K. Lalitha, C. Shanthini, G. Gowthami, Edwin Shalom Soji, C. Christina Angelin

Addresses:
Department of Electronics and Communication Engineering, Faculty of Engineering and Technology, SRM Institute of Science and Technology, Ramapuram, Chennai, Tamil Nadu, India. Department of Computer Science, Bharath Institute of Higher Education and Research, Chennai, Tamil Nadu, India. Department of Computer Science, St. Francis De Sales College (Autonomous), Electronic City, Bangalore, Karnataka, India. Department of Mathematics, Dhaanish Ahmed College of Engineering, Chennai, Tamil Nadu, India.

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.

Keywords: Raspberry Pi; Cloud Platform; Soil Moisture Sensor; Smart Farming; Healthy Plants; DSP Techniques; Smart Irrigation; Modern Farming; Disease Detection; Digital Signal Processing; Crop Yield.

Received on: 26/04/2024, Revised on: 04/07/2024, Accepted on: 11/08/2024, Published on: 12/12/2024

DOI: 10.69888/FTSESS.2024.000351

FMDB Transactions on Sustainable Environmental Sciences, 2024 Vol. 1 No. 4, Pages: 183-190

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