Welcome to SLUcode

A StreamLined system for Unstructured data Calibration, Orthorectification, geocoDing, and Enhancement​ for agricultural innovations.​

Data collection

Analysis services

SLUcode provides services include equipment rentals, sensor deployment, and onsite collection expertise. ​ Available sensor include hyperspectral, thermal, multispectral and LiDAR sensors. Details here.

Processing services​

Cloud-based infrastructure, integration platforms, and data storage. ​Processing services include hyperspectral, thermal, multispectral, LiDAR, and InSAR data processing services.

model selection, application, validation, and interpretation using modern machine learning/AI and data science methods. ​

• Seed composition: including protein, oil, mineral assets, and fiber, are particularly important for the soybean value chain
•  Phenotype prediction: emergence, crop density, growth rate, biomass, and yield
• Crop nitrogen and water stress mapping

Customization

SLUcode simplifies and streamlines complex and powerful technological workflows to solve real problems quickly. ​We provide latest machine learning, AI, and imaging technologies to improve agricultural productivity.

We use multi-scale (ground imaging, UAV, and satellite sensors) and multi-modality (hyperspectral, thermal, visual, LiDAR, and SAR) remote sensing data to improve crop productivity and quality of life globally. 

We are the future of agriculture.

The future of agriculture will highly depend on data-driven, AI-powered aerial and ground robots loaded with sensors that can measure plant physiology, estimate phenotypes, and provide color-coded maps of plant health and predicted yield in real-time. This project will develop a fully automated crop monitoring system providing sophisticated machine learning/AI technologies right to the grower's tablets, play an important role in improving crop productivity, food security, and quality of life globally.