American Journal of Advanced Multidisciplinary Research and Innovation

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Quantum Sensing for Precision Agriculture: Monitoring Soil, Crops and Environmental Conditions

Author(s) Siddhartho Paul
Country United States
Abstract Precision agriculture increasingly depends on high-resolution information about soil properties, crop health, water availability and environmental conditions. Conventional agricultural sensors have substantially improved farm monitoring, but limitations related to sensitivity, spatial resolution, calibration and the detection of weak signals continue to constrain data-driven agricultural management. Quantum sensing offers an emerging technological pathway for addressing some of these limitations by exploiting quantum phenomena such as superposition, coherence, spin states and quantum-enhanced measurement. This paper examines the potential application of quantum sensing technologies to precision agriculture, with particular emphasis on soil monitoring, crop assessment and environmental observation. Potential applications include quantum magnetometry for soil and subsurface characterisation, quantum gravimetry for water-resource assessment, quantum spectroscopy for chemical and biological detection, and quantum-enhanced imaging for crop stress monitoring. A conceptual framework is developed in which quantum sensors are integrated with Internet of Things devices, remote sensing, artificial intelligence, edge computing and farm-management platforms. The paper also examines technical and practical challenges, including sensor miniaturisation, environmental sensitivity, calibration, cost, power requirements, data interpretation and field deployment. The analysis suggests that quantum sensing is unlikely to replace conventional agricultural sensors in the near term; instead, hybrid sensing architectures combining quantum and classical technologies may provide the most practical pathway toward deployment. Future research should focus on ruggedised field-ready sensors, multi-modal sensor fusion, low-power operation, AI-assisted interpretation and validation across diverse agricultural environments. Quantum sensing could ultimately contribute to a new generation of precision agriculture systems capable of detecting subtle changes in soil, crops and environmental conditions before they become visible through conventional monitoring.
Keywords Quantum Sensing, Precision Agriculture, Quantum Sensors, Soil Monitoring, Crop Monitoring, Environmental Monitoring, Quantum Magnetometry, Quantum Gravimetry, Remote Sensing, Smart Agriculture, Sensor Fusion.
Field Engineering
Published In Volume 7, Issue 5, September-October 2025
Published On 2025-09-02
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