Edge AI for Agriculture
Inspect crops faster.
Detect problems earlier.
No internet required.
Automated crop inspection — without internet.
FarmScout is a ground-based AI system that scans crop rows, detects plant health issues, and tells farmers exactly where to act.
Row 1
Needs Attention
Row 2
Healthy
pH
6.2
EC
1.8
Light
Good
The Problem
Daily crop inspection is a bottleneck
Farmers manually walk through rows every day to inspect crops. This process is time-consuming, physically exhausting, and often inconsistent. Missing early disease signs can lead to significant crop loss.
Manual work is tiring
Farmers spend hours walking through rows every day, leading to fatigue and inconsistent coverage.
Inspection is not scalable
Large farms require more labor, making daily inspection impractical and expensive.
Early detection is difficult
Subtle signs of disease or stress are easy to miss with the naked eye, especially at scale.
The Solution
An AI inspection system that works directly on the farm
FarmScout is a low-cost ground-based robot with a camera and edge AI models to scan, detect, and analyze crops without needing an internet connection.
Process
How FarmScout works
Camera scans crop rows
A ground-mounted camera captures high-resolution images as it moves through the farm.
AI detects leaves
YOLO-based object detection identifies and isolates individual plant leaves in each frame.
AI classifies health
A CNN model analyzes each detected leaf and assigns a health classification in real time.
Data aggregated per row
Health scores and environmental readings are grouped by crop row for clear tracking.
Farmer-friendly report
The system generates actionable guidance — which rows need attention and why.
Demo
See FarmScout in action
FarmScout inspects plants, identifies health conditions, and generates actionable guidance for farmers in real time.
Product Proof
Built and Validated in Real Conditions
Inspection Output
FarmScout analyzes crop rows in real time and converts raw detections into structured, row-level insights for farmers.
Data Collection & Storage
All inspection data including images, predictions, and sensor readings are stored locally. This allows offline usage and creates a continuous data pipeline for improvement.
Farmer Feedback Loop
Farmers can provide simple feedback after each inspection. This feedback helps improve the system over time and ensures the model adapts to real farm conditions.
Timing
Why now
Edge AI is ready
Advances in edge AI hardware and lightweight deep learning models make it possible to run intelligent crop inspection directly on farms without internet.
Labor is scarce
Labor challenges and increasing crop risks make automation more necessary than ever. Farms need tools that work without adding headcount.
Vision
Our vision
To build an intelligent field assistant that continuously monitors crops, learns from repeated inspections, and helps farmers make faster, data-driven decisions.
