About KANAD

Smart Agriculture Intelligence Platform

The Project

KANAD is an open-source, full-stack machine learning platform dedicated to advancing smart agriculture. By integrating IoT sensors with predictive models, KANAD provides farmers with highly accurate, data-driven insights for crop selection, fertilizer recommendations, disease detection, and automated irrigation planning.

Our irrigation system utilizes LSTM networks alongside real-time soil moisture and water flow sensors to intelligently forecast water requirements, preserving resources while maximizing crop yield.

The Team

Built in collaboration by:

  • Aman Anubhav
  • Ansh Tiwari
  • Arshroop Saini
  • Jiho Lee
  • Riya Kathpalia

Open Source

KANAD is completely open source. You can view the code, contribute to the project, or set it up for your own farm.

View GitHub Repository