Iot-Enabled Smart Garden Irrigation And Monitoring System Using Esp32 For Efficient Home Automation

Water scarcity and improper irrigation practices are major challenges affecting home gardening efficiency and plant health. Traditional irrigation methods often rely on manual watering or fixed timing mechanisms, which do not adjust according to real-time environmental conditions. This leads to problems such as water wastage, over-irrigation, and insufficient hydration of plants. To address these limitations, this research proposes an IoTenabled smart garden irrigation system using the ESP32 microcontroller. The system integrates soil moisture sensors, humidity sensors, water level sensors, and automated pump control to deliver precise irrigation based on plant needs. The ESP32’s built-in Wi-Fi connectivity allows real-time data monitoring, remote control, and smartphone-based notifications through cloud platforms. The design improves water conservation, reduces human labor, and ensures healthier plant growth through intelligent automation. Additionally, the framework supports scalability for multi-zone gardens and smart home integration. Overall, the proposed IoT-based solution offers an efficient, user-friendly, and sustainable approach for modern home garden irrigation systems.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-31
DOI
https://doi.org/10.5281/zenodo.19356168
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Iot-Enabled Smart Garden Irrigation And Monitoring System Using Esp32 For Efficient Home Automation

IJESAT
Zenodo (CERN European Organization for Nuclear Research)
Smart Agriculture and AI
article

Iot-Enabled Smart Garden Irrigation And Monitoring System Using Esp32 For Efficient Home Automation

IJESAT
article en

Abstract

Water scarcity and improper irrigation practices are major challenges affecting home gardening efficiency and plant health. Traditional irrigation methods often rely on manual watering or fixed timing mechanisms, which do not adjust according to real-time environmental conditions. This leads to problems such as water wastage, over-irrigation, and insufficient hydration of plants. To address these limitations, this research proposes an IoTenabled smart garden irrigation system using the ESP32 microcontroller. The system integrates soil moisture sensors, humidity sensors, water level sensors, and automated pump control to deliver precise irrigation based on plant needs. The ESP32’s built-in Wi-Fi connectivity allows real-time data monitoring, remote control, and smartphone-based notifications through cloud platforms. The design improves water conservation, reduces human labor, and ensures healthier plant growth through intelligent automation. Additionally, the framework supports scalability for multi-zone gardens and smart home integration. Overall, the proposed IoT-based solution offers an efficient, user-friendly, and sustainable approach for modern home garden irrigation systems.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 7%
Smart Agriculture and AI
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.