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!
📡 Farm Dashboard
📈 Yield Predictor
🚨 Disease Detector
💧 Smart Irrigation
🏆 Season Simulation
How AI Transforms Agriculture
📡
IoT Sensors
Soil moisture, temperature, humidity, and sunlight sensors stream data every few seconds from across the field.
📈
Yield Prediction
Regression models trained on historical farm data predict harvest yield from current growing conditions.
🔬
Disease Detection
Computer vision spots early symptoms of crop disease from leaf images — weeks before human eyes can see them.
💧
Precision Irrigation
RL agents decide exactly when and how much to water — saving 40% water vs fixed schedules while improving yield.
🌱
Wizzy the AI Tutor
Welcome to the Smart Farm! 🌾 Every real AI farm starts with data from sensors — hundreds of tiny devices buried in the soil and mounted on poles. Watch the live dashboard as sensors stream real-time readings. The AI needs this data before it can do anything!
Step 1 — Live Farm Sensor Dashboard
Loading sensor data...
🌱
Wizzy the AI Tutor
The yield predictor is a regression model trained on 10 years of farm data from across Maharashtra. Adjust the growing conditions with the sliders and watch how the predicted harvest changes. Which factor has the biggest impact on yield?
Step 2 — Crop Yield Predictor
🎛️ Growing Conditions
700mm
28°C
80kg
200mm
8hrs
6/10
Adjust sliders to see how conditions affect yield.
0
kg / hectare predicted yield
vs average 2,800 kg/ha
📊 Factor Impact
🌱
Wizzy the AI Tutor
Plant diseases can destroy an entire crop in days! 🚨 AI disease detectors scan leaf images and identify problems weeks before a human farmer would notice. Click each leaf to run the AI analyser — it checks colour patterns, spots, and texture. Early detection saves the whole harvest!
Step 3 — Crop Disease Detector
Click a leaf sample to analyse it:
Select a leaf sample above to run the AI disease analysis. The AI checks for 8 common diseases affecting Indian crops.
🌱
Wizzy the AI Tutor
The smart irrigation AI decides when to water the field based on soil moisture, temperature, and weather forecast. A fixed schedule waters every day at the same time. The AI only waters when needed. Watch the soil moisture graphs and see how much water is saved!
Step 4 — Smart Irrigation AI
0%
Water saved by AI vs fixed schedule
💧 Irrigation Results
Day0 / 30
AI water used0mm
Fixed water used0mm
AI avg moisture—
AI irrigations0
Fixed irrigations0
Start the simulation to compare AI vs fixed irrigation schedule!
🌱
Wizzy the AI Tutor
🎊 The final challenge — a full growing season! The AI-managed farm uses smart irrigation, disease detection alerts, and yield-optimised fertiliser scheduling. The traditional farm uses fixed schedules. Watch the harvest difference grow week by week!
Full Season: AI Farm vs Traditional Farm
🤖 AI-Managed Farm
👨🌾 Traditional Farm
—
more yield with AI farm
Click "Simulate Growing Season" to run the full comparison!
🌾
Smart Farmer Badge!
You built an AI-powered farm with sensors, yield prediction, disease detection, and smart irrigation!
Optional. Stays on this device only — not sent to WhizzStep.
🌾 WhizzStep AI Lab
Activity completion card for
Student Name
has explored AI in Agriculture — Smart Farm Design
This records completion of a browser activity only. It is not an accredited certificate or proof of mastery.
Smart Farmer
Yield Predictor
AgriTech Engineer
whizzstep.in
Key Concepts Mastered
IoT Sensors
📡 Farm Data
Internet of Things devices collect real-time field data. Without data, AI cannot function — garbage in, garbage out.
Regression
📈 Yield Prediction
A regression model learns the relationship between inputs (rain, fertiliser) and output (yield) from historical data.
Computer Vision
🔬 Leaf Analysis
CNNs trained on millions of leaf images can identify 26+ plant diseases earlier and more accurately than experts.
Precision Agriculture
🎯 Targeted Action
AI applies fertiliser and water precisely where needed — not uniformly across a field. This cuts waste dramatically.
FarmBeats
🌐 Real Deployment
Microsoft FarmBeats uses AI + IoT for Indian farmers. Google's AI for Agriculture initiative covers 14+ crops.
Food Security
🌍 Why It Matters
By 2050 we need 70% more food for 10B people. AI is the only realistic path to feeding humanity sustainably.
About this lab
AI-17How AI and Machine Learning WorkClasses 7-915 minFoundation
Learning objective: Manage a simplified simulated farm and see how a model uses sensor-style data to make recommendations.
What this simplifies: Crop, weather and sensor data are simulated for teaching purposes, not drawn from real farm data.
Privacy: No learner input leaves the device.
Teacher prompt: Ask the class why this simulation might mislead someone who takes it too literally.
Reflect: What is one thing this activity showed you that you did not expect?
