Smart Agriculture: IOT-Driven Soil Nutrient Management System

Soil fertility plays a crucial role in determining soil quality, as it indicates how effectively the soil can support plant growth in agriculture. By utilizing soil sensors and Arduino technology, it is possible to assess the nutrient content of the soil quickly. Nitrogen, phosphorus, and potassium (NPK) are key nutrients required for healthy crop production, and their levels must be measured to determine the additional nutrients needed to enhance soil fertility. NPK sensors can be employed to detect soil nutrient levels, providing valuable data to assess whether the soil is nutrient-rich or deficient. Leveraging technology in agriculture offers numerous benefits for farmers. Preparing the land for cultivating specific crops involves evaluating factors such as soil moisture, mineral content, nutrient levels, and even soil colour. Soil testing has become essential in modern farming to maximize crop yield and profitability within a shorter time frame. Moreover, it helps prevent the overuse of fertilizers, conserving resources, reducing costs, and protecting the environment. This innovative model, designed with IoT technology and sensors, enables the efficient analysis of soil nutrient levels. It is affordable, portable, user-friendly, and offers fast, precise measurements. Unlike traditional detection methods, this approach provides rapid and accurate insights, making it a practical solution for modern agricultural practices.

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Institutions

Publication Details

Journal
Journal of Agriculture and Ecology Research International
Published
2024-12-07
DOI
https://doi.org/10.9734/jaeri/2024/v25i6650
Citations
2
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
1.20
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article

Smart Agriculture: IOT-Driven Soil Nutrient Management System

Abhishek Y. Deshmukh, Sujal Sanjay Bachhav, Yogesh Shaniware, Lochana Kotangale et al.
2 citations
Journal of Agriculture and Ecology Research International
Smart Agriculture and AI
1.20
article

Smart Agriculture: IOT-Driven Soil Nutrient Management System

Abhishek Y. Deshmukh, Sujal Sanjay Bachhav, Yogesh Shaniware, Lochana Kotangale, Rahul K. Bhise
article en
2 citations

Abstract

Soil fertility plays a crucial role in determining soil quality, as it indicates how effectively the soil can support plant growth in agriculture. By utilizing soil sensors and Arduino technology, it is possible to assess the nutrient content of the soil quickly. Nitrogen, phosphorus, and potassium (NPK) are key nutrients required for healthy crop production, and their levels must be measured to determine the additional nutrients needed to enhance soil fertility. NPK sensors can be employed to detect soil nutrient levels, providing valuable data to assess whether the soil is nutrient-rich or deficient. Leveraging technology in agriculture offers numerous benefits for farmers. Preparing the land for cultivating specific crops involves evaluating factors such as soil moisture, mineral content, nutrient levels, and even soil colour. Soil testing has become essential in modern farming to maximize crop yield and profitability within a shorter time frame. Moreover, it helps prevent the overuse of fertilizers, conserving resources, reducing costs, and protecting the environment. This innovative model, designed with IoT technology and sensors, enables the efficient analysis of soil nutrient levels. It is affordable, portable, user-friendly, and offers fast, precise measurements. Unlike traditional detection methods, this approach provides rapid and accurate insights, making it a practical solution for modern agricultural practices.

Journal of Agriculture and Ecology Research InternationalVol. 25(6)
Mahatma Phule Krishi Vidyapeeth (IN), Ramakrishna Mission Vivekananda Educational and Research Institute (IN)
Zero hunger
Openalex Percentile: Top 15%
Smart Agriculture and AI
1.20
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Smart Agriculture: IOT-Driven Soil Nutrient Management System — Abhishek Y. Deshmukh, Sujal Sanjay Bachhav, et al. · Journal of Agriculture and Ecology Research International (2024) | TGRS Research Map | TGRS