Sugarcane detection now available

Crop disease detection powered by AI

Identify diseases and pests in your crops using your smartphone. Combines image analysis with diagnostic questions for accurate results.

97.5%
Detection accuracy
2
Disease types covered
15
Diagnostic questions
<30s
Analysis time

How it works

Our multimodal AI combines two approaches for reliable diagnosis

Upload Image

Take a photo of the affected plant. Our YOLO-based vision model analyzes visual symptoms.

Answer Questions

Respond to 15 diagnostic questions about plant symptoms. TabNet model processes your answers.

Get Results

Receive combined analysis with confidence scores and detection status within seconds.

Available now

Sugarcane Analysis

Early Shoot Borer

Pest detection

97.5% accuracy

Detects larval infestation in young sugarcane plants through visual and symptomatic analysis.

YOLO + TabNet15 questions

Dead Heart

Disease detection

92.5% accuracy

Identifies dead heart syndrome caused by stem borer damage through symptom pattern recognition.

YOLO + TabNet15 questions

Roadmap

Expanding coverage to major Indian crops with regional language support.

Crop Coverage

Sugarcane
Live
Rice
Q1 2025
Wheat
Q2 2025
Cotton
Q2 2025
Maize
Q3 2025
Groundnut
Q3 2025

Regional Languages

Hindi
हिंदी
Tamil
தமிழ்
Telugu
తెలుగు
Kannada
ಕನ್ನಡ
Marathi
मराठी
Gujarati
ગુજરાતી
Bengali
বাংলা
Punjabi
ਪੰਜਾਬੀ

Voice input support coming Q2 2025

Upcoming Features

Voice Input
Answer questions by speaking
Offline Mode
Works without internet
Mobile App
Native Android & iOS apps

Try it now

Start diagnosing your sugarcane crops today. Free during beta.