Development of Raspberry Pi-Based Soil Moisture Monitoring System

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

Publication Details

Journal
FMDB Transactions on Sustainable Environmental Sciences
Published
2024-12-12
DOI
https://doi.org/10.69888/ftsess.2024.000351
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

Development of Raspberry Pi-Based Soil Moisture Monitoring System

G. Gowthami, K. Lalitha, R. Váni, C. Shanthini et al.
FMDB Transactions on Sustainable Environmental Sciences
Smart Agriculture and AI
article

Development of Raspberry Pi-Based Soil Moisture Monitoring System

G. Gowthami, K. Lalitha, R. Váni, C. Shanthini, Edwin Shalom Soji, C. Christina Angelin
article en

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.

FMDB Transactions on Sustainable Environmental SciencesVol. 1(4)
Zero hunger
Openalex Percentile: Top 83%
Smart Agriculture and AI
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Development of Raspberry Pi-Based Soil Moisture Monitoring System — G. Gowthami, K. Lalitha, et al. · FMDB Transactions on Sustainable Environmental Sciences (2024) | TGRS Research Map | TGRS