Setup

AUTOMATIC SENSOR BASED INPUTS

In the event that an exception occurs, users linked to the zone in question will be immediately alerted to problem that requires treatment and advises what actions to take

MANUAL DATA CAPTURE

The mobile app allows the user to capture additional events that will enrich the data for monitoring, analysis and decision support

EXTERNAL DATA ENRICHMENT

Using machine learning techniques, this information is used in conjunction with the metrics acquired from IOT sensors and the data captured manually to predict growth risks and productivity

The Result

An early warning for anomaly and disease detection

AI DISEASE DETECTION

We use image analysis techniques involving seven basic steps like image recording, pre-processing, image segmentation, detection, extraction, classification, and finally validation. The identification is based on color index and digital image matching. The success degree of the research is up to 95%.

SMART ALERTs

If a transaction or reading meets the criteria established for a strategy or scenario, it is displayed visually to analyze, and if required enhancements can be added. Plant and Tunnel statistics relating to the scenario setup are also calculated each time a scenario is run or new sensor reading is obtained. The Central Intelligence Centre will be hosted on the cloud and can be accessed remotely from any device, and will provide the user with useful information.

HEALTH SCORING

NGA created a proprietary algorithm to assign an overall health score to a Plant Zone based on various factors. The health score is used within our algorithms to assist with forecasting and to identify trouble areas.