Innovative Approaches to Soil Health Assessment: Designing IoT-Based Verification Systems

The purpose of this research is to investigate novel approaches to evaluating the state of soil health by putting forth the concept of Internet of Things-based verification systems. The evaluation of soil health is essential for the practice of sustainable agriculture; yet, conventional approaches have difficulties in terms of scalability and monitoring in real time. The Internet of Things (IoT) technology is combined with a number of sensors in our method, which allows for continuous monitoring of important soil characteristics like as pH, nutrients, moisture, and temperature. The information collected by these sensors is sent to a centralized platform for analysis, which makes use of sophisticated algorithms and machine learning. When compared to more conventional approaches, this technology provides a number of benefits, including decreased costs associated with labor, increased accuracy, and greater sustainability. Therefore, it contributes to the optimization of agricultural production while simultaneously limiting the effect on the environment. This is accomplished by allowing proactive soil management measures, such as targeted irrigation and fertilizer application. Through the use of verification systems that are based on the Internet of Things, there is the potential to revolutionize the evaluation of soil health and to promote long-term agricultural production and sustainability.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-02-28
DOI
https://doi.org/10.5281/zenodo.14943997
Primary Topic
Smart Agriculture and AI
Type
article
Field-Weighted Citation Impact
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article

Innovative Approaches to Soil Health Assessment: Designing IoT-Based Verification Systems

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

Innovative Approaches to Soil Health Assessment: Designing IoT-Based Verification Systems

article en

Abstract

The purpose of this research is to investigate novel approaches to evaluating the state of soil health by putting forth the concept of Internet of Things-based verification systems. The evaluation of soil health is essential for the practice of sustainable agriculture; yet, conventional approaches have difficulties in terms of scalability and monitoring in real time. The Internet of Things (IoT) technology is combined with a number of sensors in our method, which allows for continuous monitoring of important soil characteristics like as pH, nutrients, moisture, and temperature. The information collected by these sensors is sent to a centralized platform for analysis, which makes use of sophisticated algorithms and machine learning. When compared to more conventional approaches, this technology provides a number of benefits, including decreased costs associated with labor, increased accuracy, and greater sustainability. Therefore, it contributes to the optimization of agricultural production while simultaneously limiting the effect on the environment. This is accomplished by allowing proactive soil management measures, such as targeted irrigation and fertilizer application. Through the use of verification systems that are based on the Internet of Things, there is the potential to revolutionize the evaluation of soil health and to promote long-term agricultural production and sustainability.

Zenodo (CERN European Organization for Nuclear Research)
Zero hunger
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Smart Agriculture and AI
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