Advanced AIoT solution combining Raspberry Pi hardware, real-time imaging, and machine learning to identify crop health in soybean, tomato, and cotton fields with unprecedented accuracy.
HQ camera captures field images continuously
Raspberry Pi processes data at the source
Neural network identifies healthy vs unhealthy crops
Our comprehensive AIoT solution integrates cutting-edge hardware and software components
Raspberry Pi-based device with high-quality camera module for continuous field monitoring
Advanced machine learning model trained on thousands of crop images for accurate health assessment
End-to-end workflow
96% accuracy in identifying healthy crops
Early identification of crop diseases
Continuous field surveillance
Quantifiable benefits that transform agricultural operations and bottom-line results
Automated monitoring eliminates manual field inspections, reducing labor costs by $15,000 per season per 100 acres
Real-time alerts enable immediate response, preventing crop loss worth $25,000+ per incident
Optimized resource allocation and timely interventions boost overall farm productivity
Average Annual Savings per 100 Acres
Average ROI Payback Period
Reduction in Labor Requirements
Reduction in Crop Loss Risk
Our neural network achieves industry-leading accuracy across multiple crop types
Overall Accuracy
Processing Time
Real-time analysis from image capture to health classification
Training Images
Diverse dataset covering various growth stages and conditions
Transforming agricultural monitoring with intelligent automation
Identify issues before visible symptoms appear
Maximize crop productivity through timely interventions
Reduce manual inspection and treatment costs
Minimize chemical usage through precision agriculture
Join leading agricultural enterprises leveraging our AIoT solution for smarter, more efficient crop management.