IOT Enabled Smart Agriculture System

The increasing demand for sustainable agricultural practices necessitates innovative solutions that optimize resource usage while ensuring crop health. This project presents an IoT-Enabled Smart Agriculture System utilizing a NodeMCU microcontroller to facilitate real-time monitoring and control of essential soil and environmental parameters, including soil moisture, pH level, humidity, and temperature. The proposed system employs a network of sensors connected to the NodeMCU, which continuously collects and processes data to provide actionable insights. Using Wi-Fi connectivity, the NodeMCU communicates with the Blynk app, enabling users to monitor field conditions remotely. The soil moisture sensor detects the water content in the soil, while the pH sensor assesses soil acidity or alkalinity. Additionally, humidity and temperature sensors gather vital environmental data that impact crop health. Based on predefined thresholds, the system intelligently activates a water pump when soil moisture levels drop, ensuring optimal irrigation and conserving water resources. This automated approach enhances the efficiency and sustainability of agricultural practices by providing farmers with real-time data and control over their irrigation systems. The integration of IoT technology not only optimizes water usage but also contributes to improved crop yield and sustainability in agriculture

Authors

Publication Details

Journal
International Journal of Advanced Research in Science Communication and Technology
Published
2025-04-17
DOI
https://doi.org/10.48175/ijarsct-25302
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
0.00
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article

IOT Enabled Smart Agriculture System

Sachin S More, Prof. Khopade S. S, Girija A. Deshpande, Khushi S. Doshi et al.
International Journal of Advanced Research in Science Communication and Technology
Smart Agriculture and AI
article

IOT Enabled Smart Agriculture System

Sachin S More, Prof. Khopade S. S, Girija A. Deshpande, Khushi S. Doshi, Aditee G. Marane
article en

Abstract

The increasing demand for sustainable agricultural practices necessitates innovative solutions that optimize resource usage while ensuring crop health. This project presents an IoT-Enabled Smart Agriculture System utilizing a NodeMCU microcontroller to facilitate real-time monitoring and control of essential soil and environmental parameters, including soil moisture, pH level, humidity, and temperature. The proposed system employs a network of sensors connected to the NodeMCU, which continuously collects and processes data to provide actionable insights. Using Wi-Fi connectivity, the NodeMCU communicates with the Blynk app, enabling users to monitor field conditions remotely. The soil moisture sensor detects the water content in the soil, while the pH sensor assesses soil acidity or alkalinity. Additionally, humidity and temperature sensors gather vital environmental data that impact crop health. Based on predefined thresholds, the system intelligently activates a water pump when soil moisture levels drop, ensuring optimal irrigation and conserving water resources. This automated approach enhances the efficiency and sustainability of agricultural practices by providing farmers with real-time data and control over their irrigation systems. The integration of IoT technology not only optimizes water usage but also contributes to improved crop yield and sustainability in agriculture

International Journal of Advanced Research in Science Communication and Technology
Openalex Percentile: Top 94%
Smart Agriculture and AI
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