Innovations in Soil Health Monitoring: Role of Advanced Sensor Technologies and Remote Sensing

Soil health monitoring is essential for sustainable agricultural practices and effective environmental management. Recent sensor technologies and remote sensing innovations have transformed how we assess soil health, providing real-time and precise data that enhance decision-making processes. This review focuses on integrating advanced sensor technologies, like Internet of Things (IoT) devices, alongside remote sensing techniques, including drones and satellite imagery, in soil science. These technologies enable continuous monitoring of critical soil parameters, such as moisture levels and nutrient content, significantly improving the accuracy and efficiency of soil health evaluations. Additionally, remote sensing provides a comprehensive overview of soil conditions across large areas, allowing for the identification of spatial patterns and temporal changes that traditional methods may overlook. Various case studies from agricultural and environmental projects demonstrate the practical benefits and the challenges of implementing these innovations. The article also discusses future trends and potential obstacles, highlighting the need for further research and development to exploit these technologies' capabilities fully. Ultimately, advanced sensors and remote sensing promise to improve soil health monitoring, contributing to more sustainable and productive agricultural systems.

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Publication Details

Journal
Journal of Experimental Biology and Agricultural Sciences
Published
2024-11-29
DOI
https://doi.org/10.18006/2024.12(5).653.667
Citations
2
Primary Topic
Soil Geostatistics and Mapping
Type
article
Field-Weighted Citation Impact
0.41
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article

Innovations in Soil Health Monitoring: Role of Advanced Sensor Technologies and Remote Sensing

Russbelt Yaulilahua-Huacho, Edwin Rojas-Felipe, Cesar Castañeda-Campos, Carlos Dueñas-Jurado et al.
2 citations
Journal of Experimental Biology and Agricultural Sciences
Soil Geostatistics and Mapping
0.41
article

Innovations in Soil Health Monitoring: Role of Advanced Sensor Technologies and Remote Sensing

Russbelt Yaulilahua-Huacho, Edwin Rojas-Felipe, Cesar Castañeda-Campos, Carlos Dueñas-Jurado, Jorge Luis Huere-Peña, Manuel Castrejón-Valdez, Rodolfo Leon-Gomez, Edwin Javier Ccente-Chancha, Walter Augusto Mateu-Mateo, Rolando Bautista-Gómez, Edward Arostegui-León
article en
2 citations

Abstract

Soil health monitoring is essential for sustainable agricultural practices and effective environmental management. Recent sensor technologies and remote sensing innovations have transformed how we assess soil health, providing real-time and precise data that enhance decision-making processes. This review focuses on integrating advanced sensor technologies, like Internet of Things (IoT) devices, alongside remote sensing techniques, including drones and satellite imagery, in soil science. These technologies enable continuous monitoring of critical soil parameters, such as moisture levels and nutrient content, significantly improving the accuracy and efficiency of soil health evaluations. Additionally, remote sensing provides a comprehensive overview of soil conditions across large areas, allowing for the identification of spatial patterns and temporal changes that traditional methods may overlook. Various case studies from agricultural and environmental projects demonstrate the practical benefits and the challenges of implementing these innovations. The article also discusses future trends and potential obstacles, highlighting the need for further research and development to exploit these technologies' capabilities fully. Ultimately, advanced sensors and remote sensing promise to improve soil health monitoring, contributing to more sustainable and productive agricultural systems.

Journal of Experimental Biology and Agricultural SciencesVol. 12(5)
Universidad Nacional José María Arguedas (PE), Universidad Nacional de Huancavelica (PE), San Cristóbal of Huamanga University (PE)
Openalex Percentile: Top 40%
Soil Geostatistics and Mapping
0.41
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