Editorial, J Soil Sci Plant Health Vol: 7 Issue: 4

Soil-Borne Pathogen Suppression: Strategies for Healthy and Resilient Soils

Dr. Linh Nguyen^*

Department of Plant Protection, Mekong Agricultural University, Vietnam

*Corresponding Author:

Dr. Linh Nguyen
Department of Plant Protection, Mekong Agricultural University, Vietnam
E-mail: linh.nguyen@mau.vn

Received: 01-Jun-2025, Manuscript No. JSPH-25-183606; Editor assigned: 4-Jun-2025, Pre-QC No. JSPH-25-183606 (PQ); Reviewed: 18-Jun-2025, QC No. JSPH-25-183606; Revised: 25-Jun-2025, Manuscript No. JSPH-25- 183606 (R); Published: 30-Jun-2025, DOI: 10.4172/jsph.1000240

Citation: Linh N (2025) Soil-Borne Pathogen Suppression: Strategies for Healthy and Resilient Soils. J Soil Sci Plant Health 7: 240

Introduction

Soil moisture is a critical factor influencing crop growth, nutrient availability, and overall soil health. Efficient management of soil water is essential to maintain agricultural productivity, especially under the pressures of climate change and increasing water scarcity. Traditional methods of measuring soil moisture, such as gravimetric analysis, are time-consuming and often impractical for large-scale application. Soil moisture sensing technologies provide real-time, accurate, and non-destructive means to monitor soil water content, enabling precision irrigation and sustainable water management practices [1,2].

Discussion

Soil moisture sensing technologies can be broadly categorized into contact and remote sensing methods. Contact sensors, such as time-domain reflectometry (TDR), capacitance probes, and tensiometers, are installed directly in the soil to measure water content. TDR devices measure the travel time of an electromagnetic pulse through the soil, which varies with moisture levels. Capacitance sensors assess the dielectric constant of the soil, which changes with water content. Tensiometers, on the other hand, measure the soil water potential, providing insights into water availability for plants. These sensors are widely used due to their accuracy, ease of installation, and ability to provide continuous monitoring [3,4].

Remote sensing technologies complement contact methods by providing large-scale soil moisture data. Satellite-based sensors, such as those on the SMAP (Soil Moisture Active Passive) and Sentinel missions, use microwave radiometry and radar to estimate surface soil moisture over vast areas. Unmanned aerial vehicles (UAVs) equipped with multispectral or thermal sensors can provide high-resolution soil moisture mapping at the field level. These remote approaches are particularly valuable for large farms, watershed management, and climate modeling.

Integration of soil moisture sensing technologies with data analytics, machine learning, and Internet of Things (IoT) platforms has revolutionized irrigation management. Real-time soil moisture data can trigger automated irrigation systems, optimizing water use, reducing wastage, and improving crop yields. Additionally, these technologies help predict drought stress, inform nutrient management, and maintain soil health by preventing over-irrigation and waterlogging [5].

Despite their advantages, challenges remain, including sensor calibration, cost, soil heterogeneity, and maintenance requirements. Combining multiple sensing approaches and validating data with field measurements can improve accuracy and reliability.

Conclusion

Soil moisture sensing technologies are pivotal for advancing precision agriculture and sustainable water management. By providing real-time, accurate, and site-specific soil moisture information, these tools enhance irrigation efficiency, improve crop productivity, and reduce environmental impact. Integration with IoT, remote sensing, and data analytics enables farmers to make informed decisions, ensuring resilient and resource-efficient agricultural systems. Continued development and adoption of these technologies are crucial for addressing global water scarcity and promoting sustainable farming practices.

References

1. Belone L, Orosco A, Damon E, Smith-McNeal W, Rae R, et al. (2017) The piloting of a culturally centered American Indian family prevention program: a CBPR partnership between Mescal ero Apache and the University of New Mexico. Public Health Rev 55: 1â??3.

   Indexed at, Google Scholar, Crossref

2. Belone L, Tosa J, Shendo K, Toya A, Straits K, et al. (2016) Community-based participatory research for co-creating interventions with Native communities: a partnership between the University of New Mexico and the Pueblo of Jemez . Baltimore 1: 199â??220.

   Indexed at, Google Scholar, Crossref

3. Blackshear E, Nelson C, Van Dyke E, Echo-Hawk A, Bassett D, et al. (2016) Conversations about Community-Based Participatory Research and Trust: â??We are Explorers Together.â? PCHP 10: 305â??309.

   Indexed at, Google Scholar, Crossref

4. Brandenburger SJ, Wells K, Stluka S (2016) Utilizing Talking Circles as a Means of Gathering American Indian Stories for Developing a Nutrition and Physical Activity Curriculum. Health Educ Behav 44: 448-453.

   Indexed at, Google Scholar, Crossref

5. Cochran Patricia AL, Marshall Catherine A, Garcia-Downing C, Kendall Elizabeth (2008) â??Indigenous Ways of Knowing: Implications for Participatory Research and Communityâ?. Am J Public Health 98: 22â??27.

   Indexed at, Google Scholar, Crossref