Agriculture Use Cases
Analyse fruit health, detect pests, monitor crop conditions and optimise harvesting periods; achieve enhanced yields, reduction in resource waste, sustainable farming practices and operational efficiency.
Behavioural Analysis
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Object Detection and Counting
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Object Classification
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Anomaly Analysis
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Agriculture Use Cases
Analyse fruit health, detect pests, monitor crop conditions and optimise harvesting periods; achieve enhanced yields, reduction in resource waste, sustainable farming practices and operational efficiency.

Ripeness Detection
Ripeness detection capabilities ensures precise harvesting by analysing fruit colour, texture, and size, boosting quality, reducing rejections, and maximizing profitability through smarter grading and sorting

Pest Detection
Disease detection functionality identifies early signs of crop issues, enabling targeted treatment to prevent spread, maximize yields, and reduce waste and costs through precise pesticide application.

Demand Forecasting
AI-driven demand forecasting optimises inventory, harvest timing, and resource use while aligning production with market demand, enabling better yield estimates, pricing strategies, and enhanced customer satisfaction.

Inventory Counting
Inventory counting functionality streamlines stock management, reducing errors and costs while providing insights for demand planning and ensuring quality control across large quantities.

Livestock Counting
Livestock counting enables accurate tracking of animals in motion, identifies missing livestock, monitors health and behavior, and provides valuable insights for breeding and demand planning.

Behaviour Monitoring
AI-powered behaviour monitoring analyses livestock movements and expressions to detect health issues early, enabling timely interventions, improved farm conditions, and reduced treatment costs for healthier, more productive animals.

Safety Monitoring
Safety monitoring capabilities detect overlooked risks, non-compliance, and unexpected breaches, proactively preventing injuries, equipment failure, and disruptions to ensure operational stability and enhance overall safety.

Disease Detection
Disease detection functionality identifies early signs of crop issues, enabling targeted treatment to prevent spread, maximise yields, and reduce waste and costs through precise pesticide application.