Run a virtual farm powered by AI — live sensor dashboards, crop yield prediction, disease detection, and a smart irrigation agent that saves water and grows more food!
Soil moisture, temperature, humidity, and sunlight sensors stream data every few seconds from across the field.
Regression models trained on historical farm data predict harvest yield from current growing conditions.
Computer vision spots early symptoms of crop disease from leaf images — weeks before human eyes can see them.
RL agents decide exactly when and how much to water — saving 40% water vs fixed schedules while improving yield.
You built an AI-powered farm with sensors, yield prediction, disease detection, and smart irrigation!
Internet of Things devices collect real-time field data. Without data, AI cannot function — garbage in, garbage out.
A regression model learns the relationship between inputs (rain, fertiliser) and output (yield) from historical data.
CNNs trained on millions of leaf images can identify 26+ plant diseases earlier and more accurately than experts.
AI applies fertiliser and water precisely where needed — not uniformly across a field. This cuts waste dramatically.
Microsoft FarmBeats uses AI + IoT for Indian farmers. Google's AI for Agriculture initiative covers 14+ crops.
By 2050 we need 70% more food for 10B people. AI is the only realistic path to feeding humanity sustainably.