August 16, 2025Open Access

An IOT-Driven Smart Agriculture Framework for Precision Farming, Resource Optimization, and Crop Health Monitoring

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Framework integrates IoT and AI to improve crop health monitoring and optimize resources in agriculture.

The framework enables a 30% reduction in water usage and a 92% accuracy in early disease detection.
Comparative analysis demonstrates significant improvements in resource efficiency over conventional farming practices.
The modular architecture includes layers for perception, network, compute, application, and end-user functionalities.
Insights from the pilot implementation on a wheat farm highlight the potential for operational sustainability and scalability.

Irfan et al. (2025) studied this question.

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