Kheti - Insight

Problem Statement

Farmers and agricultural researchers struggle with manual soil monitoring over large plots. Current methods are often time-consuming, error-prone, and inconsistent, leading to: Poor irrigation planning Inaccurate crop health assessments Resource wastage There is a strong need for a cost-effective, scalable, and automated solution to collect real-time soil data for smarter agricultural decisions.   

Contributors

  • Pranay Singhal
  • Vedant Agarwal
  • Dev Lapsiwala
  • Vedant Agrawal

Feature image

About Kheti - Insight

Solution

  🛠️ Core Hardware: ESP32 Board – Brain of the robot for controlling and processing DHT22 Sensor – For temperature and humidity readings Capacitive Soil Moisture Sensor – For moisture-level detection DC Motors + L298N Driver – Enables movement across varied terrains Chassis – Houses all electronics Battery Pack – Powers the robot on-the-go 💡 System Capabilities: Autonomous movement to cover wide field areas Real-time or stored data collection for analysis Modular & affordable design suited to rural and resource-constrained settings  

Additional Info

Idea: Kheti Insight is a mobile robot equipped with environmental sensors and powered by an ESP32 microcontroller. It autonomously navigates through farmland or research plots to collect live data on: Soil moisture Air temperature Humidity This data enables precision agriculture, improves irrigation planning, supports fertilization scheduling, and guides crop planning. Objectives: 🤖 Automate Soil Monitoring: Reduce manual labor by using onboard sensors and mobility 💧 Improve Irrigation Decisions: Offer accurate soil moisture data to optimise water use 🚜 Enable Terrain Mobility: Design a chassis that can navigate uneven farmlands 📶 Enable Real-time Processing: Use ESP32 for sensor readings and potential wireless transmission 🌱 Promote Sustainable Farming: Help small and mid-sized farmers with affordable tech 🎓 Make It Scalable & Educational: Create a prototype usable in classrooms and scalable in real fields

Image Gallery

Built on Unicorn Platform