Web-Based Precision Agriculture Platform

• Developed a full-stack system suggesting optimal crops and detecting diseases using ML models on sensor and camera data.

• Integrated deep learning, Arduino, and a web-based interface to provide farmers with 24/7 remote control over irrigation and pesticide deployment.

• Detecting the best crop to grow according to the soil element percentages.

• Detecting the diseases from the plant leaves and automatically treat them

• Giving the user full control to monitor and take different actions (turn on/off water pumps, scheduling foliar fertilization, etc).