Krishi Track: Smart Farming for the Future
Empowering farmers with AI-driven insights and real-time environmental monitoring.
Project Overview
Bridging traditional farming with modern technology.
The Challenge
Farmers in Nepal frequent face challenges like unpredictable weather, pest infestations, and lack of real-time soil data, leading to reduced yields and resource wastage. Traditional methods often rely on intuition rather than data.
The Solution
Krishi Track is a comprehensive system combining low-cost hardware sensors with advanced AI algorithms. It monitors soil health, detects early signs of plant disease via camera feeds, and provides actionable insights directly to the farmer's smartphone.
Technology Stack
Built with robust, open-source technologies for reliability and scale.
Artificial Intelligence
TensorFlow Lite models running on edge devices for real-time disease detection without needing heavy internet bandwidth.
IoT Hardware
ESP32 and Raspberry Pi based sensor nodes collecting data on moisture, humidity, temperature, and NPK levels.
Linux Infrastructure
Powered by custom Linux kernels optimized for low-power ARM devices to ensure long battery life in the field.
Key Features
What makes Krishi Track specific and effective.
Disease Identification
Simply take a photo of a crop leaf, and our AI analyzes it against a database of thousands of diseases to identify issues like Blight or Rust instantly.
Smart Irrigation
Automated water pumps that trigger only when soil moisture drops below specific thresholds for the crop type, saving water.
Data Analytics
Historical data views allow farmers to see trends over seasons, helping them plan crop rotation and fertilization better.