Collects sample data using Near-Infrared Spectroscopy to authenticate raw materials. It sends data to a server for machine learning model training. Users can predict material quality based on trained models.
by WAVY MEET S.a r.l.★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
Send UDP, TCP, and SSL packets with ASCII or HEX input. Make HTTP GET/POST requests. Receive UDP or TCP data on custom ports. Copy incoming data in ASCII, HEX, or RAW formats. Transfer packets between devices via cloud.
Monitor field operations in real time with live video feed from the Smart Cultivator. View operational data from the machine's instrument panel. Control and adjust settings directly from the tractor. Track crop progress and equipment performance.
Predict natural disasters by inputting current weather conditions. Identify wildfires, fluvial floods, pluvial floods, flash floods, earthquakes, hurricanes, and tornadoes. Receive high-accuracy forecasts and alerts for each event.
Detect for AI-generated content using machine learning. Analyze sentence structure and language patterns. Verify originality and authenticity of written work. Identify content created by humans or artificial intelligence.
Plan and respond to chemical incidents using plume dispersion models integrated with Google Maps. Access real-time meteorological and gas sensor data. View and analyze hazard scenarios with the ALOHA® model.
Calculate material quantities for construction projects using unit conversion tools, concrete material estimators, aggregate calculators, road material planners, masonry estimators, and mulch calculators.
Control tennis ball machine operations remotely. Adjust speed, angle, and ball feed settings. Start and stop sessions. Monitor performance metrics and receive alerts for malfunctions. Sync with compatible hardware for precise control.