GlobeOSS
Agriculture Analytics
Drive smart agriculture.
Monitor, analyze and predict the cattle or crop conditions while optimizing the workflows and increase operational efficiencies through agricultural IOT and AI/ML.
With increasing food production in the following decades, farmers need to be prepared to deliver their best. Smart farming needs to monitor and analyze the cattle or crop conditions. Also, the smart farming industry need to optimize the workflows and increase operational efficiencies.
Examples for smart farming capabilities includes tracking cattle, managing herds, directing farm personnel, measuring soil conditions, detecting growth, registering rainfall, tracking equipment, planning tasks, monitoring refrigeration, connecting warehouses, and etc.
Agriculture Analytics
Use Cases
Business Intelligence for Farming
Realtime monitoring of farming operation, anomaly detection, performance dashboards, report generation, and business dashboards.
Customer Insights
Customer Insights. Know exactly what your customers want, when they want it. And make sure they get it.
Branches and location performance Insights.
Customer Value Management.
Loyalty.
Customer Touchpoints Analytics.
Smart IOT Farming
Soil moisture
Tank filling
Valve positioning
Metering
Water quality
Irrigation
Asset tracking
Machine monitoring
Cattle tracking
Weather station
Air quality
Motion detection
Fence open/close
Customer Intelligence & Next Best Offer
Determine customer loyalty state, next best action, and customer lifetime value using AI.
Churn Prediction.
Next Best Offer.
Automation of Real-time Customer Experience, contextual, digital engagement, and customer value.
Geospatial Analysis for Farming
Public Data and Internal Data combination. Hyper-target your campaigns at a deeper granularity.
Geomarketing campaigns for B2C solar panel installations, as well as creating solar calculators to measure propensity and profitability.
Geo-Marketing for Agricultural Produce
Public Data and Internal Data combination. Hyper-target your campaigns at a deeper granularity.
Technology
