IoT-Based Agro-Toolbox for Soil Analysis and Environmental Monitoring

Author:

Pechlivani Eleftheria Maria1ORCID,Papadimitriou Athanasios1ORCID,Pemas Sotirios1,Ntinas Georgios2ORCID,Tzovaras Dimitrios1

Affiliation:

1. Center for Research and Technology Hellas, Information Technologies Institute, 6th km Charilaou-Thermi Road, 57001 Thessaloniki, Greece

2. Hellenic Agricultural Organization-DIMITRA, Sustainable Agricultural Structures & Renewable Energy Resources Lab, Institute of Plant Breeding & Genetic Resources, 57001 Thessaloniki, Greece

Abstract

The agricultural sector faces numerous challenges in ensuring optimal soil health and environmental conditions for sustainable crop production. Traditional soil analysis methods are often time-consuming and labor-intensive, and provide limited real-time data, making it challenging for farmers to make informed decisions. In recent years, Internet of Things (IoT) technology has emerged as a promising solution to address these challenges by enabling efficient and automated soil analysis and environmental monitoring. This paper presents a 3D-printed IoT-based Agro-toolbox, designed for comprehensive soil analysis and environmental monitoring in the agricultural domain. The toolbox integrates various sensors for both soil and environmental measurements. By deploying this tool across fields, farmers can continuously monitor key soil parameters, including pH levels, moisture content, and temperature. Additionally, environmental factors such as ambient temperature, humidity, intensity of visible light, and barometric pressure can be monitored to assess the overall health of agricultural ecosystems. To evaluate the effectiveness of the Agro-toolbox, a case study was conducted in an aquaponics floating system with rocket, and benchmarking was performed using commercial tools that integrate sensors for soil temperature, moisture, and pH levels, as well as for air temperature, humidity, and intensity of visible light. The results showed that the Agro-toolbox had an acceptable error percentage, and it can be useful for agricultural applications.

Funder

Horizon 2020 PestNu project

Centre for Research and Technology Hellas

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Control and Systems Engineering

Reference26 articles.

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