Smart Sensing Technologies for Real-Time Monitoring of Soil Health in Precision Agriculture

Authors

  • Ritu Raj Sondhiya Research Scholar, Department of Computer Science, Indira Gandhi National Tribal University (Central University), Madhya Pradesh
  • Vikash Kumar Singh Professor, Department of Computer Science, Indira Gandhi National Tribal University (Central University), Madhya Pradesh

Keywords:

Precision agriculture, Soil health management, Smart sensing technologies, Conceptual framework, Sustainable farming

Abstract

A comprehensive review of smart sensing technologies for real-time soil health monitoring in precision agriculture systems. It reviews soil health monitoring sensing, data processing, and applications literature. The conceptual framework for integrating smart sensing technologies into precision agriculture systems outlines components, functionalities, and interactions to optimise crop production, resource utilisation, and environmental sustainability in modern farming. Precision agriculture uses real-time soil health monitoring and management to revolutionise farming. This extensive review covers the latest smart sensing technologies for soil health assessment in precision agriculture systems. This literature review examines the wide range of sensing methods used, from soil probes to remote sensing and IoT-enabled sensor networks. It also examines the complex data processing methods used to gain insights from massive sensor data sets. The review highlights smart sensing technologies' transformative potential in soil health monitoring, enabling farmers to make informed irrigation, fertilisation, and pest management decisions. Data interoperability, sensor calibration, and cost-effectiveness remain issues despite their many benefits. The also proposes a conceptual framework to integrate these technologies into an intelligent soil health management system. This framework outlines the essential components and functions for smart sensor integration into precision agriculture workflows. Real-time data analytics and decision support systems help farmers optimise resource allocation, reduce environmental impact, and boost crop yields. This shows how smart sensing technologies are crucial to sustainable agriculture and calls for continued research and innovation in this rapidly evolving field.

References

S.K. Chaudhari, Ashok Patra, Pradip Dey, Santanu Kumar Bal, Sunil Gorantiwar, and Rajender Parsad. “Sensor Based Monitoring for Improving Agricultural Productivity and Sustainability - A Review.” Journal of the Indian Society of Soil Science 70, no. 2 (2022): 121–41. https://doi.org/10.5958/0974-0228.2022.00013.5.

Akhtar, Mohammad Nishat, Abdurrahman Javid Shaikh, Ambareen Khan, Habib Awais, Elmi Abu Bakar, and Abdul Rahim Othman. “Smart Sensing with Edge Computing in Precision Agriculture for Soil Assessment and Heavy Metal Monitoring: A Review.” Agriculture 11, no. 6 (May 21, 2021): 475. https://doi.org/10.3390/agriculture11060475.

Ramson, S. R. Jino, Walter D. Leon-Salas, Zachary Brecheisen, Erika J. Foster, Cliff T. Johnston, Darrell G. Schulze, Timothy Filley, et al. “A Self-Powered, Real-Time, LoRaWAN IoT-Based Soil Health Monitoring System.” IEEE Internet of Things Journal 8, no. 11 (June 1, 2021): 9278–93. https://doi.org/10.1109/JIOT.2021.3056586.

Adamchuk, V., Hummel, J., Morgan, M., Upadhyaya, S. (2004) On-the-go soil sensors for precision agriculture. Computers and Electronics in Agriculture 44, 71–91.

Adamchuk, V.I. and Rossel, R.A.V. (2010) Development of On-the-Go Proximal Soil Sensor Systems. In Proximal Soil Sensing. Springer Netherlands, Dordrecht, pp. 15- 28.

Allen, R.G., Tasumi, M. and Trezza, R. (2007) Satellitebased energy balance for mapping evapotranspiration with internalized calibration (METRIC)—model. Journal of Irrigation and Drainage Engineering 133, 380–394.

Andújar, D., Weis, M. and Gerhards, R. (2012) An ultrasonic system for weed detection in cereal crops. Sensors 12, 17343–17357.

Bastiaanssen, W.G.M., Menenti, M., Feddes, R.A. and Holtslag, A.A.M. (1998) A remote sensing surface energy balance algorithm for land (SEBAL). 1.

Published

26-03-2024

How to Cite

Ritu Raj Sondhiya, & Vikash Kumar Singh. (2024). Smart Sensing Technologies for Real-Time Monitoring of Soil Health in Precision Agriculture. Journal of Applied Optics, 295–301. Retrieved from https://appliedopticsjournal.net/index.php/JAO/article/view/114

Issue

Section

Conference Paper

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