View and collect information in the field with our user-configurable mobile application, that supports any in-field data collection process. Off-line functions allow you to view, edit and capture information without a network connection.
FEATURES:
- User-configurable forms and logic
- Supports multimedia (video, photos, voice)
- Decision tree logic
- Off-line maps and data
BENEFITS:
- Replace inefficient paper-based systems
- Information available in near real-time
- Improve decision making in the field
- 100% adaptable to your needs
- Enforces quality and process compliance
EXAMPLE APPLICATIONS:
- Scouting
- Surveying fields
- In-field health monitoring
OFFLINE & ONLINE FUNCTIONALITY
ADVANCED DASHBOARD
FEATURES:
- User customisable tables pivot, tables and graphs
- Automatic updating of dashboard information
- Drag and drop style query builder
- Interaction between dashboards and maps
- Exporting of information to Excel or PDF formats
BENEFITS:
- Up to date key metrics about your farming operations
- Quickly identify problem areas with exception reports
- Individualised dashboards provide focused attention
- Visualise exceptions and outliers spatially to gain new insights
- Save time, no need to manually create graphs or reports
- Share dashboards between team members
EXAMPLE APPLICATION:
- Production monitoring
- Identify crop distresses
- Identifying fields with irrigation problems
- Yield analysis
- Field comparisons
WORK MANAGEMENT
Assign work to team members and track their progress. With the job-card module it is possible to assign tasks to users, either from the web interface or from another mobile device. The user will receive a notification on his mobile device and can download the job-card for action.
FEATURES:
- Configurable to client specific application
- Supports multimedia (photos, video, voice)
- Customised exception and status reports
- Activity location and tracking
- Supports standard ticketing work-flow (assign, accept, reject, complete)
- Off-line job-card feature
BENEFITS:
- More efficient than paper-based systems
- Monitor and track activities from start to finish
- Visualise work on a map and identify hot-spots
- Exception reports for activities not completed in time
- Incidents can be reported in-field via a mobile device, including location information
EXAMPLE APPLICATIONS:
- Infrastructure maintenance
- Pest and disease control
- Precision fertilisation
- Soil sampling
HEALTH MONITORING via SATELLITE
Monitor crop health using satellite data at 10m resolution delivered on a bi-monthly interval. The data can be used to estimate yields, identify fields with lower than expected yields, water use efficiency and distresses as well as fertiliser use efficiency.
FEATURES:
- Crop specific exception reports
- Drill down reports from farm down to field level
- Reports on biomass (actual/potential/deficit), water use efficiency, leaf area index, evapotranspiration (actual/deficit) and nitrogen top leaf
- Configurable rules and thresholds
- Time-slider to visualise changes over time
- Historical data
BENEFITS:
- Early detection of crop destresses
- Increase production and reduce costs
- Identifying underperforming fields
- Historical trend and performance analysis
- Improve water use efficiencies
- Visualise problematic fields
- Precision remedial action
- Yield estimation
EXAMPLE APPLICATION:
- Production monitoring
- Identify crop distresses
- Identifying fields with irrigation problems
- Yield analysis
- Field comparisons
SYSTEM INTEGRATION
We can integrate to all mainstream relation database systems, allowing us to import information from any legacy system (or data source) into farmSENSE. Integrating information from sources, such as, your production system, soil condition data, irrigation information etc., significantly improves the analytical capacity of the system. It creates a single spatial information platform that will allow you to easily connect the dots and see the bigger picture, without the hassle of trying to manually collate and analyse information.
BENEFITS:
- Easily compare different sets of information to diagnose problems or to gain new insights into yield variances
- Save time and effort in manually collecting and analysing data from different source
- Real time analysis and pro-active identification of problems
More accurate analysis and reporting of exceptions based on rule thresholds.
