Agriculture

Crop & Weather AI Advisor

Hyperlocal crop advice based on your GPS location, soil type, and block-level weather data from IMD. Pest warnings, mandi prices, and irrigation guidance.

200+
Crops covered
Block-level
IMD weather data
Live
Mandi prices
Today's Advisory

Ramesh Kumar's farm, Chandpur

Paddy · 2.4 acres
Varanasi, UP
Weather
27°C · Cloudy
70% humidity · Rain in 3 days
Mandi price
₹2,183/qtl
Varanasi mandi · +₹12
Action alert
Apply nitrogen fertiliser in next 2 days before rain. Recommended: 25 kg urea/acre. Brown Plant Hopper risk: low this week.
Features

What Crop AI does

Hyperlocal weather alerts
Block-level IMD data — daily irrigation advice, rain timing, frost and heatwave warnings via voice notifications.
Pest & disease photo detection
Click a photo of your crop leaf — TF Lite vision model identifies 80+ pests/diseases and suggests treatment.
Soil-based recommendations
Uses ICAR district soil health card data to recommend fertiliser type, quantity, and timing for your field.
Live mandi prices
AGMARKNET API integration — today's price for your crop at the 5 nearest mandis. Know when to sell.
Crop calendar & planning
State-wise sowing calendar for 200+ crops. Optimal planting windows based on GPS and historical weather.
Open Crop AIFasal Bima ↗
AI-Powered Live Analysis

Crop Disease Scanner

Upload or capture a photo of your crop leaf, stem, or fruit. Our AI instantly identifies diseases, pests, and deficiencies with treatment steps.

Upload crop photo

Drag and drop or click to browse
JPG, PNG, WEBP up to 10 MB

Best results: clear, close-up photo in daylight
HindiTeluguTamil MarathiBengaliEnglish

Photo tips for best results

☀️
Natural daylightTake photo in morning or afternoon sunlight. Avoid harsh shadows and flash.
🔍
Close-up focusGet within 20-30 cm of the affected leaf, stem, or fruit. Fill the frame.
🍃
Show the damage clearlyCapture the discoloration, spots, or wilting area prominently in the center.
📱
Keep the camera steadyTap to focus before clicking. Blurry images reduce detection accuracy.
🌿
Include healthy part tooIf possible, show both healthy and diseased portions for better comparison.

Crops supported

Rice / PaddyWheat CottonMaize TomatoPotato SugarcaneSoybean GroundnutChilli BrinjalOnion MangoBanana MustardPulses + 180 more