AUTOMATED IRRIGATION AND SOIL NUTRITION DETECTION
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Agriculture is considered to be the backbone of India but it is facing exploitation. India’s population depends only on agriculture. Nowadays the concept of automation goes on developing to a peak. The integration of Internet of Things (IoT) technology in agriculture has led to significant advancements in precision farming, particularly in smart irrigation systems that monitor and manage soil nutrients. To introduce a smart irrigation system using ESP32 for water management with the nutrient monitor. The paper begins by studying the core components and the technologies that support these systems such as temperature sensor, moisture sensor, nutrient detector sensor and automated irrigation controllers. The main objective of this project is to automate the irrigation system of crops and along with that monitor the essential soil nutrients such as potassium, nitrogen and phosphorous. The monitoring process of nutrients will help the farmers to chose the appropriate fertilizer for the health growth of the plant. In the traditional farming, water wastage is a major problem for the farmers and as well as supplying excess water to the plants can damage the crop. To overcome this major problem the project is designed in such a way that it automates the water supply depending upon the moisture level of soil. The switching of the water pump in this project can be done manually or switching ON/OFF in the mobile app (Blynk).
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Vaishnavi Nitin Mhetre, Jayshree Jogdand, Samruddhi Pawar (2026). AUTOMATED IRRIGATION AND SOIL NUTRITION DETECTION. International Journal of Technology & Emerging Research (IJTER), 2(5), 117-121. https://doi.org/10.64823/ijter.2605008
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@article{ijter2026212605125574,
author = {Vaishnavi Nitin Mhetre and Jayshree Jogdand and Samruddhi Pawar},
title = {AUTOMATED IRRIGATION AND SOIL NUTRITION DETECTION},
journal = {International Journal of Technology & Emerging Research },
year = {2026},
volume = {2},
number = {5},
pages = {117-121},
doi = {10.64823/ijter.2605008},
issn = {3068-109X},
url = {https://www.ijter.org/article/212605125574/automated-irrigation-and-soil-nutrition-detection},
abstract = {Agriculture is considered to be the backbone of India but it is facing exploitation. India’s population depends only on agriculture. Nowadays the concept of automation goes on developing to a peak. The integration of Internet of Things (IoT) technology in agriculture has led to significant advancements in precision farming, particularly in smart irrigation systems that monitor and manage soil nutrients. To introduce a smart irrigation system using ESP32 for water management with the nutrient monitor. The paper begins by studying the core components and the technologies that support these systems such as temperature sensor, moisture sensor, nutrient detector sensor and automated irrigation controllers. The main objective of this project is to automate the irrigation system of crops and along with that monitor the essential soil nutrients such as potassium, nitrogen and phosphorous. The monitoring process of nutrients will help the farmers to chose the appropriate fertilizer for the health growth of the plant. In the traditional farming, water wastage is a major problem for the farmers and as well as supplying excess water to the plants can damage the crop. To overcome this major problem the project is designed in such a way that it automates the water supply depending upon the moisture level of soil. The switching of the water pump in this project can be done manually or switching ON/OFF in the mobile app (Blynk). },
keywords = {Smart agriculture, Internet of things (IOT), Precision farming, Automated irrigation, Soil moisture monitoring, Soil nutrient monitoring, Water management sensor based system, Embedded system.},
month = {May},
}
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Copyright © 2025 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.