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, etc.
Agriculture Analytics
Use Cases
Business Intelligence for Farming
Realtime monitoring of farming operation, anomaly detection, performance dashboards, report generation, 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, 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
Advanced Data Analytics
Cloud, On-Prem or Hybrid - helping our agricultural customers in digital operation, digital customer experience, digital business and digital security and fraud.
AI & Machine Learning
Unlock new possibilities and amplify our impact for society and agricultural businesses with AI/ML
Geospatial Data Science
Analysing spatial data combined with analytics and AI/ML for positive agricultural business impact.
Internet of Things (IOT)
With our expertise in data analytics and AI/ML, we will also enable agricultural enterprises to create sustainable IOT initiatives - edge, cloud and hybrid.
Security analytics
Helping our agricultural customers in automating SOC, using many supporting tools like data analytics, SIEM, Threat Intelligence, SOAR and Endpoint security.