Crop Yield and Health
Crop Yield and Health combines field-based agricultural data with environmental and modeled data. By using predictive analytics, Crop Yield and Health provide insights to farmers, food processors, and distributors about crops, risks, and yields. The insights help to reduce supply chain risk, reduce costs, and provide better quality products.
- Farm management system details, such as field names, boundaries, and ownership
- Crop types, planting dates, and seed variety
- Soil conditions, such as moisture, pH level, and nutrients
- Weather data, such as historical, current, and forecasted weather conditions
- High-definition satellite and drone imagery
- Import your custom sensor and asset data into Environmental Intelligence Suite.
- Define fields by using a KML file format and upload the files to IBM Cloud Object Storage.
- Add the field definitions from Cloud Object Storage to Environmental Intelligence Suite and define polygons to represent each field.
- Create queries based on proprietary and public data sets in Geospatial Analytics, including agricultural-specific data sets.
When the environment is set up, AI-based, machine learning analytics are run on the field data and the field-related KPIs, such as crop health, field soil moisture, field soil temperature, can be visualized by the operations teams on dashboards and maps, which is shown in Figure 1, from the Dashboard Visualization component.
Use Crop Yield and Health to alert employees and customers about weather events that might impact the supply chain.