Optimization of agriculture and food industries’ planning and logistics to a new level
The solution creates benefits for agriculture- and food- management by providing superior, detailed field information. It exploits advanced satellite data and crop simulation to raise optimization of agricultureand food industries’ planning and logistics to a new level – worldwide, on all scales. The solution integrates to SAP Intelligent Agriculture and SAP Integration Suite.
Benefits
Optimize the yield of your crops
Within the solution in order to obtain maximum yield at the best possible conditions, the ideal dates and/or starting point of the harvest campaign can be individually defined.
Increase the effectiveness of your planning
Support the planning processes within your company and even beyond. By using the provided data insights the most can be made out of the available capacities.
Maximize the efficiency of logistics during harvest
Determine the perfect timing for harvest. Define ideal harvest dates or the optimal harvest order and enable the most efficient utilization of the factories.
Anticipate market developments to improve commercialization
Get early and reliable information on expected yield quantities and yield qualities. These data insights provide the opportunity to anticipate market developments.
Reduce the costs of monitoring fields
The regular and automatedly updated information within the solution reduces costs. Compared to manual processes, for example sampling of fields or field visits.
Features
Access yield prediction data up to 8 weeks prior to harvest
Starting 6-8 weeks before harvest start, expected harvest amounts from all fields can be accessed in detail. Data is regularly updated (e.g. weekly or bi-weekly).
Receive valuable data on prediction of quality parameters of your crops
Starting as early as 6-8 weeks before harvest, data regarding quality parameters from all fields will be delivered and updated in regual intervals. Update cycle can be individually chosen (e.g. weekly or bi-weekly).
Aggregate your data to enable risk assessment
Data can be aggregated to different levels such as factory or elevator. Throughout the growing season information on biomass development and irregularities can be provided and used as risk indicator.
