sga.ai: Revolutionizing Agriculture with Geospatial AI

sga.ai is a cutting-edge geospatial AI platform developed by Super GeoAI Technology Inc., the World’s Leading Geospatial AI Corporation, designed to transform modern farming through intelligent automation. It empowers agricultural professionals with powerful tools for crop insurance assessment, yield forecasting, grain grading, and field analysis—delivering accurate, real-time insights from drone, satellite, and smartphone imagery. The platform leverages advanced AI, deep learning, and 4D LiDAR to analyze wildlife damage, hail impact, crop health, and grain volume with precision, enabling data-driven decisions that boost sustainability, profitability, and competitiveness. Ideal for farmers, insurers, researchers, and agronomists, sga.ai offers mobile apps, web-based tools, and drone integration for seamless on-farm and off-farm operations.

Key Features:

• Wildlife Damage Assessment: Automatically detects and measures areas damaged by wildlife using advanced track and bed analysis.
• Crop Yield Loss Assessment: Quantifies yield loss from various stress factors with detailed zone and contour mapping.
• Field Boundary Detection & Analysis: Accurately identifies and maps field boundaries from aerial or smartphone images.
• 3D Grain Bin Volume Measurement: Uses drone-based GeoAI to measure grain volume with 2 cm precision.
• Grain Grading: AI-powered mobile app analyzes grain quality by counting seeds, detecting degraded kernels, and assessing Frost/Heat Stress Damage (FRHTS) in seconds.
• AI-Driven Wheat Head Detector: Real-time mobile app for yield estimation using on-device AI, even offline.
• Thousand-Kernel Weight (TKW) & Seeding Rate Calculation: Automatically computes key wheat and canola metrics from seed images.
• GeoAI-Driven Fungicide Application: Optimizes fungicide use with intelligent field mapping and application planning.
• Image Classification & Analysis: Advanced algorithms classify crop conditions, weed infestation, and bare ground.
• Automated Observations: Streamlines data collection and analysis across diverse agricultural scenarios.
• Cloud-Based Processing Integration: Future updates will enhance accuracy with scalable cloud computing.
• Multi-Platform Access: Available as mobile apps (iOS/Android), drone-based systems, and web upload interfaces.
• User-Correctable AI Outputs: Allows manual review, editing, and correction of AI-identified areas for improved accuracy.
• Privacy-First Data Handling: Secure, compliant data practices with no sale or sharing of personal information.

Pricing: sga.ai operates on a freemium model, offering free access to basic features and demo opportunities, with premium tools and advanced analytics available through paid subscriptions and enterprise licensing.

Conclusion: sga.ai is a transformative force in digital agriculture, combining geospatial intelligence with generative AI to deliver actionable, accurate insights for farmers, insurers, and agronomists—making it an essential tool for modern, sustainable, and profitable farming.