Smart Soil Intelligence: Empowering Research-Based Cultivation at Avinashilingam University

Avinashilingam University

UN SDG 12 - Responsible Consumption and Production

Coimbatore, TN

Pain Points

Lack of real-time soil data limiting precision farming outcomes.

Manual Soil Analysis Limitations

Periodic sampling caused delays in understanding soil health and nutrient status.

Unoptimized Irrigation Practices

Absence of live soil moisture insights

Lack of Practical Learning Tools

Students lacked exposure to real-time IoT-based agricultural data applications.

Our Offerings

Delivered IoT-enabled soil monitoring for research and learning.

LoRa-Enabled Soil Sensor Network

Installed smart soil sensors to capture live moisture, temperature, and EC data.

Cloud-Based Data Visualization

Enabled data access via dashboards for monitoring soil parameters remotely.

Educational IoT Integration

Integrated the system into the university curriculum for hands-on agri-tech learning.

Sustainable Farming Insights

Provided actionable insights to support efficient irrigation and soil conservation.

Installed smart soil sensors to capture live moisture, temperature, and EC data.

Enabled data access via dashboards for monitoring soil parameters remotely.

Integrated the system into the university curriculum for hands-on agri-tech learning.

Provided actionable insights to support efficient irrigation and soil conservation.

Outcomes

Real-Time Soil Intelligence

Enabled continuous monitoring of soil health parameters for academic projects.

Improved Water Management

Helped reduce water usage through precise irrigation scheduling.

Student Skill Enhancement

Empowered students with IoT-based field data analysis experience.

Research-Driven Agriculture

Supported data-backed agricultural research and soil sustainability initiatives.

This solution transformed our agri labs into live digital learning ecosystems.

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