Predict. Protect. Prepare.

As climate change reshapes our environment, the need for real-time, data-driven decision-making in agriculture and ecology has never been more urgent.

Wild Eye offers advanced AI-powered tools to monitor, model, and respond to climate-related changes — from crop health to pest outbreaks and yield forecasting.

What It Does:

• → Leaf Disease Detection: Use image classification to identify early-stage diseases in fruit and plantation crops (e.g., apple, orange).
  Enables proactive treatment and reduces climate-driven crop losses.
• → Fruit Ripeness Detection: Analyze color, texture, and seasonal signals to determine ripeness.
  Helps optimize harvest timing in changing weather conditions.
• → Pest Detection: Detect and localize pests on leaves and fruit using object detection.
  Identify pest outbreaks linked to rising temperatures or humidity shifts.
• → Yield Prediction: Use machine learning to forecast fruit yield based on historical data, climate patterns, and soil health. Empower better planning for markets and supply chains.

Why It Matters:

• →Climate-Responsive Farming: Adapt to extreme weather and shifting seasons
• →Reduce Crop Losses: Predict problems before they spread
• →AI-Driven Insights: From camera images to intelligent recommendations
• →Scalable & Affordable: Works across small farms or large orchards

Who It's For:

• → Farmers: Want to make climate-smart crop decisions
• → Agriculture Researchers: Need data on how climate affects yields
• → Sustainability NGOs: Track the effects of climate change on local ecosystems
• → Governments: For agricultural policy, subsidies, and early-warning systems