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Research Article Open access CC BY 4.0

Precision Agriculture: Implementing Real-Time Sensors for Sustainable Crop Production

Mayoora Shaji, Rekha V.R. Nair, Naveen Leno, Rani B., Geetha Radhakrishnan, Santhosh Mithra V.S.

Journal of Scientific Research and Reports · pp. 18–26 · Published 27 Oct 2025

10.9734/jsrr/2025/v31i113647

Abstract

Sensors are widely used in agriculture to provide valuable data that improves farming practices. A key application of sensors in agriculture is soil monitoring. It includes measurement of soil moisture, temperature, pH, and nutrients. Crop health monitoring using sensors detects plant distress, diseases, and nutrient deficiencies for timely intervention. Agriculture plays a crucial role in India’s economy, providing livelihoods for over 70% of rural households. However, with rapid population growth and increasing food demands, the agriculture sector faces significant challenges such as land scarcity, resource depletion, and environmental degradation. Precision agriculture technologies, including wireless sensor networks and real-time nutrient sensors, offer innovative solutions to improve crop production and sustainability. Key sensor technologies include soil moisture sensors for irrigation management, pH sensors for acid-base balance, temperature sensors for microclimate monitoring, and disease detection sensors for early pathogen identification. Real-time nutrient sensors, specifically optical and electrochemical sensors, help farmers manage fertilizer applications more effectively by providing instant feedback on nutrient deficiencies, ensuring timely and precise interventions. The integration of real-time data into farming practices enhances nutrient management, reduces environmental impact, and improves productivity. As agricultural challenges continue to evolve, the adoption of precision agriculture tools, including real-time nutrient sensors, becomes increasingly important for sustainable and efficient farming practices.

Precision agriculture agricultural sensors real-time data sustainability

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