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

被引:8
|
作者
Pechlivani, Eleftheria Maria [1 ]
Papadimitriou, Athanasios [1 ]
Pemas, Sotirios [1 ]
Ntinas, Georgios [2 ]
Tzovaras, Dimitrios [1 ]
机构
[1] Ctr Res & Technol Hellas, Informat Technol Inst, 6th Km Charilaou Thermi Rd, Thessaloniki 57001, Greece
[2] Hellen Agr Org DIMITRA, Inst Plant Breeding & Genet Resources, Sustainable Agr Struct & Renewable Energy Resource, Thessaloniki 57001, Greece
基金
欧盟地平线“2020”;
关键词
agriculture; IoT; soil analysis; environmental monitoring; 3D printed; tool; soil pH; soil moisture;
D O I
10.3390/mi14091698
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
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.
引用
收藏
页数:17
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