01
Manual inspection is slow
Large fields are difficult to inspect manually, and weed patches can be missed.
FYP Smart Agriculture Dashboard
AI weed detection for targeted crop care.
Verdexax presents a UAV-based precision farming system that captures field images, detects weed-affected zones using an AI model, estimates severity, and supports targeted spraying decisions.
Input
UAV Image
Model
YOLO
Output
Spray Decision
Verdexax
Field Scan Active
Severity
Medium
Action
Targeted Spray
AI
Detection Ready
API
Flask Backend
Problem
Full-field spraying wastes resources when weeds are only in selected areas.
Many farmers spray the complete field because they do not have a fast way to locate weed-affected zones. Verdexax turns field images into decision-ready information.
02
Full-field spraying is inefficient
Pesticide is often applied where it is not required, increasing cost and chemical usage.
03
Farmers need simple decisions
The system should not only detect weeds; it should show severity and recommended action.
Solution
A clean decision-support dashboard for UAV weed detection.
The website presents the full idea clearly: capture, detect, estimate, and recommend.
UAV Image Capture
Drone or camera images are used as input for field analysis.
AI Weed Detection
The trained model identifies weed regions and returns detection results.
Severity Estimation
Weed count and detection density are converted into Low, Medium, or High severity.
Targeted Spray Support
The dashboard recommends monitoring or targeted spraying for affected zones.
Workflow
From field image to farmer decision.
1
Capture
UAV captures a crop-field image.
2
Upload
Image is uploaded to the website or app.
3
Analyze
Flask backend sends the image to the YOLO model.
4
Display
Dashboard shows count, confidence, and severity.
5
Act
Farmer reviews and approves targeted spraying.
UAV
API
YOLO
UI
Technology
Frontend stays smooth. AI runs through the backend.
The website is the frontend dashboard. The real model should run in a Flask API, which receives images, processes them using the trained model, and sends results back to the interface.
TrainingGoogle Colab
Model Filebest.pt
BackendFlask + Ultralytics
FrontendAnimated Website
Demo SetupLaptop server or tunnel
Interactive Demo
Premium upload experience with animated detection preview.
This demo shows the final user flow. Connect it to your Flask /predict endpoint for real YOLO output.
Upload UAV Field Image
Drop or browse a crop image to preview the result dashboard.
Detection Panel
Waiting
AI Result Preview
0%
Severity Score
Weed Count
--
Avg Confidence
--
Severity
Pending
Decision
Upload Image
Backend-ready:
POST /predict
Real deployment sends image to Flask API and returns JSON detection results.
Brand Identity
A logo built around agriculture, intelligence, and precision.
The Verdexax identity combines a plant, circular field symbol, and sharp letter V to represent smart crop monitoring and sustainable technology.
V
Represents Verdexax and vision.
Leaf
Shows agriculture, crops, and sustainability.
Circle
Suggests scanning, coverage, and field monitoring.