Crop Health Monitoring System
Precision agriculture through satellite imagery and AI-powered crop analysis
Duration
6 months development
Mar 2023 - Aug 2023
Team
4 specialists
AI/ML + Remote sensing
Location
Northern India
8 organic farm locations
The Challenge
Our client, an organic farming consortium, was struggling with early detection of crop diseases, pest infestations, and nutrient deficiencies across their 1,800-acre operation. Traditional field scouting was time-consuming and often missed critical issues until significant damage occurred. They needed a systematic approach to monitor crop health across multiple varieties including wheat, rice, cotton, and vegetables while maintaining organic certification standards.
Our Solution
We developed an intelligent crop monitoring system that combines satellite imagery analysis, drone surveillance, and machine learning algorithms to provide early detection of crop health issues and actionable insights for farm management.
Technology Stack
Monitoring & Analysis
- • Sentinel-2 satellite imagery integration
- • DJI drone fleet with multispectral cameras
- • Python-based NDVI processing pipeline
- • TensorFlow crop disease detection models
Platform & Infrastructure
- • React dashboard with mapping integration
- • PostGIS for spatial data management
- • AWS S3 for imagery storage
- • FastAPI backend with ML pipelines
Health Analysis
- NDVI vegetation index calculations
- Growth stage identification and tracking
- Chlorophyll content estimation
Disease Detection
- Early blight and rust detection
- Pest infestation pattern analysis
- Nutrient deficiency identification
Platform Interface
Crop Health Dashboard
Crop Health Monitoring
Last Updated: 2 hours ago
Overall Health Score
87%
↑ 3% vs last week
NDVI Average
0.74
Healthy range
At-Risk Areas
47 ha
Requires attention
Growth Stage
Vegetative
Week 8-12
Latest Remote Analysis
Disease Detection Summary
Field Health Map
Analytics Report View
Weekly Health Trends
Results Achieved
Operational Benefits
- • Early detection increased crop disease prevention by 60%
- • Reduced field scouting time from 40 hours to 8 hours weekly
- • Improved targeting of organic treatment applications
- • Enhanced decision-making with data-driven insights
Technical Achievements
- • 95% accuracy in disease detection algorithms
- • Weekly automated NDVI analysis across all fields
- • Integration with organic certification tracking
- • Historical trend analysis for seasonal planning
Client Feedback
"The crop monitoring system has revolutionized how we manage our organic farms. We now catch potential issues weeks before they would have been visible to the naked eye. The satellite integration means we can monitor all our fields continuously without compromising our organic practices. SmartBhujal's team delivered exactly what we needed for precision organic agriculture."
Need Crop Health Monitoring?
Protect your crops with early detection and precision monitoring. Let's discuss how our AI-powered monitoring system can optimize your farm's health management.
Contact Us