Built for Maharashtra's farms

Know what's wrong with your crop before it costs you the season.

AgriShield reads photos of cotton, sugarcane, soybean, grapes and other Maharashtra crops alongside local weather, soil and pest data, then turns them into a diagnosis a farmer can act on the same day — with a human expert never more than a message away.

  • Made for farmers, extension workers and government teams in Maharashtra
  • Available in English, Hindi and Marathi
Green cultivated fields on rolling hills under a clear sky
Leaf blight detected92% confidence · treatment ready

Model performance you can plan around

Target ranges for the AgriShield pilot, to be validated against field confirmations by extension staff.

85–93%Disease Detection Accuracy
80–90%Risk Forecasting Accuracy
75–88%Hotspot Mapping Precision
< 5 minResponse Time from image upload

From a photo to a plan, in four steps

The same pipeline runs whether the request comes from a phone in a Vidarbha cotton field or a district office dashboard in Pune.

  1. Farmer photographing a crop in a green field1

    Capture

    A farmer photographs the affected crop, or a sensor logs an unusual reading — no special equipment required.

  2. Cloudy sky over green farmland2

    Combine

    The image is checked against local weather, soil, location and known outbreaks nearby, not looked at alone.

  3. Close-up of a leaf showing disease symptoms3

    Diagnose

    A vision AI model returns a likely cause with a confidence score, integrated pest management steps and safe-use guidance.

  4. Field worker reviewing crop data on a tablet4

    Confirm & act

    An extension worker can validate the result in unclear cases before it reaches the farmer as a plain-language alert.

Six sources feed every diagnosis

A single photo rarely tells the whole story. AgriShield brings the surrounding context in automatically.

Aerial drone view of rows of a cultivated field

Crop images

Photos from a phone, a field camera, or an optional drone pass over the plot.

Close-up of an insect on a crop leaf

Pest traps & sensors

Pheromone traps, soil and humidity sensors, and notes a worker logs by hand.

Sky and clouds over a Maharashtra field

Weather

Temperature, humidity, rainfall and a short-range forecast for the exact plot.

Dashboard interface showing regional map data

Location & land

GPS position, land use, and district-level disease history recorded over time.

Close-up of a crop leaf

Crop & farm details

Crop type, growth stage, soil condition and the plot's own pest history.

Golden wheat field

Expert knowledge base

A reference library of diseases, agronomy practice and Maharashtra Krishi Vibhag advisories.

Close-up of a grapevine leaf showing early disease symptoms

What the farmer sees

A result written for the field, not for a lab report

Every diagnosis comes back as a short, plain-language card: what the problem likely is, how confident the system is, and what to do about it today.

Downy mildew — grapevineConfidence: 88%

Yellow patches on the upper leaf surface, consistent with the humid spell reported around Nashik this week.

Remove affected leavesApply a copper-based sprayRe-check in 5 days

Unclear cases are automatically routed to an extension worker for a second opinion before any advice reaches the farmer.

Open diagnosis

One platform, three very different days

The same data moves through interfaces built for the person using it — a field in Vidarbha, a clipboard in Marathwada, or a district map in Mantralaya.

Farmers working together in a green field

Farmer

Upload a photo, get a diagnosis, and keep a running record of crop health across every season.

  • Upload an image or a short report
  • View diagnosis and treatment advice
  • Get alerts before an outbreak spreads nearby
  • Track crop health over time
Field worker holding a tablet while reviewing crop data

Extension worker

Step in exactly where the model is unsure, and keep every field visit on record for your taluka.

  • Review field reports from nearby farms
  • Confirm or correct uncertain diagnoses
  • Send verified advice back to farmers
  • See alerts across the whole taluka
Dashboard interface showing regional data on a screen

Government

See outbreak patterns forming at district or division level across Maharashtra while there's still time to respond.

  • District and division-level disease maps
  • Reports and trend analytics
  • Resource allocation planning
  • Policy and advisory planning support

A simple website — nothing to install

AgriShield runs in the browser, works on any screen size, and speaks the languages Maharashtra's farms already speak.

  • Works on any phone or computer browser
  • English, Hindi and Marathi
  • Built around Maharashtra's major crops
Golden wheat field under a bright blue sky

See it work on your own crop photo.

Upload a photo of an affected leaf and get an AI-assisted diagnosis in seconds.

Diagnose a crop