Agripulse Based on Harnessing Machine Learning

Agripulse Based on Harnessing Machine Learning

And IoT for Smart Farming

Mr. Vasanth Kumar N T1, Mr. Sagar C R2, Mr. Sagar D3,

Mr. Vishal M G4, Mr. Thejas H S5

1 Assistant Professor at Malnad College of Engineering in the Department of Computer Science and Engineering

2 Department of Computer Science and Engineering, Malnad College of Engineering

3 Department of Computer Science and Engineering, Malnad College of Engineering

4 Department of Computer Science and Engineering, Malnad College of Engineering

5 Department of Computer Science and Engineering, Malnad College of Engineering

---------------------------------------------------------------------***---------------------------------------------------------------------

Abstract - Agriculture faces challenges like unpredictable weather, resource scarcity, and inefficient practices. Agripulse addresses these issues by integrating Machine Learning (ML) and IoT to develop a smart farming solution. IoT sensors enable real-time monitoring of soil, crops, and environment, while ML algorithms optimize irrigation, fertilizer use, and pest control.

The platform provides cost-effective, data-driven insights, empowering farmers to boost productivity and conserve resources. With edge computing and cloud integration, it ensures reliable performance even in areas with limited connectivity. Agripulse promotes sustainable, eco-friendly farming by transforming traditional practices into efficient, automated systems, contributing to global food security and agricultural innovation.