AgriIntegrix Sensor: An Integrity-Driven Intelligent Sensing Framework for Precision Agriculture

Precision agriculture is transforming traditional farming by integrating intelligent sensing, data analytics, and automated decision-making systems. However, existing agricultural monitoring systems often suffer from inaccurate sensing, poor data integrity, limited predictive capability, and inadequate real-time decision support. These challenges reduce the effectiveness of smart farming solutions and limit their adoption, particularly in resource-constrained agricultural environments. To address these limitations, this research introduces AgriIntegrix Sensor, an integrity-driven intelligent sensing framework designed to enhance precision agriculture through reliable data collection, multi-layer sensing, and AI-powered agricultural intelligence.

The proposed AgriIntegrix framework integrates soil monitoring sensors, environmental monitoring systems, crop health detection mechanisms, and artificial intelligence-based decision engines into a unified architecture. The system continuously monitors critical agricultural parameters such as soil moisture, soil temperature, pH levels, nutrient concentration, humidity, rainfall, and crop health indicators. A multi-layer integrity validation mechanism ensures that sensor data remains accurate, reliable, and free from anomalies. This integrity-driven sensing model significantly improves the quality of agricultural decision-making.

The AgriIntegrix Sensor framework contributes to sustainable agriculture, efficient resource utilization, and climate-resilient farming practices. This research demonstrates that integrity-driven intelligent sensing can significantly improve precision agriculture outcomes and support next-generation smart farming solutions.