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Afarisense

AI-Powered Cocoa Disease Detection

Revolutionizing Cocoa Farming

Detect Cocoa Diseases with AI Precision

Afarisense leverages advanced machine learning to detect CSSVD and other cocoa diseases in real-time. Protect your crops, increase yields, and secure your farming future.

Cocoa Disease Detection
AI Detection Active
95%
Accuracy Rate
5s
Detection Time
CSSVD
Primary Detection
24/7
Monitoring
10,000+

Images Analyzed

95.2%

Detection Accuracy

500+

Farms Monitored

30%

Yield Increase

Why Choose Afarisense?

Advanced features designed specifically for cocoa disease detection

Real-time Detection

Instant analysis of cocoa leaf images with results in under 5 seconds. No waiting, immediate actionable insights.

5-second analysis

CSSVD Focused

Specialized detection for Cocoa Swollen Shoot Virus Disease (CSSVD), the most devastating cocoa disease in West Africa.

CSSVD-specific models

Mobile Optimized

Designed for field use. Upload images directly from your smartphone while inspecting cocoa farms.

Mobile image capture

Disease Mapping

Visualize disease spread with interactive GIS maps. Track outbreaks and plan containment strategies.

Geospatial tracking

AI-Powered Analytics

Advanced machine learning algorithms trained on thousands of cocoa leaf images for unprecedented accuracy.

Deep learning models

Automated Reports

Generate comprehensive reports with detection results, recommendations, and treatment plans instantly.

Instant reporting

Diseases We Detect

Specialized detection for the most critical cocoa diseases

CSSVD Disease
Critical

CSSVD

Cocoa Swollen Shoot Virus Disease - The most devastating viral disease affecting cocoa in West Africa.

Swollen stems and roots
Chlorotic leaf spots
Stunted growth
Healthy Cocoa
Healthy

Healthy Plants

Our AI identifies healthy cocoa plants with high confidence, allowing for proper growth monitoring.

Vibrant green leaves
Normal growth patterns
No visible lesions
Other Diseases
Common

Other Diseases

Detection of common cocoa diseases including Black Pod, Phytophthora, and various fungal infections.

Fungal infections
Black pod rot
Leaf blights

How Afarisense Works

A simple three-step process for accurate disease detection

1

Capture Image

Take a clear photo of cocoa leaves or pods using your smartphone camera or upload existing images.

2

AI Analysis

Our deep learning model analyzes the image and detects diseases with 95%+ accuracy in seconds.

3

Get Results

Receive instant diagnosis, confidence scores, and actionable recommendations for treatment.

Advanced AI Technology

Afarisense uses state-of-the-art convolutional neural networks (CNNs) trained on thousands of annotated cocoa leaf images. Our models continuously improve through machine learning, ensuring higher accuracy with every detection.

Transfer learning from ImageNet models
Real-time inference optimization
Continuous model retraining
AI Technology
95.2%
Overall Accuracy

Try Live Detection

Experience the power of AI-powered cocoa disease detection firsthand

Interactive Dashboard

Access our comprehensive dashboard to upload cocoa leaf images, view detection results on interactive maps, analyze disease patterns, and generate detailed reports.

Image Upload

Upload multiple images for batch processing

GIS Mapping

Visualize disease spread on interactive maps

Analytics Dashboard

Detailed analytics and trend analysis

Launch Live Detection Dashboard
95%
Detection Accuracy
5s
Average Processing Time
System Online

Ready to Protect Your Cocoa Farm?

Join thousands of farmers already using Afarisense to detect diseases early and save their crops. Start your free detection today.