Create a Unified Data Set with Local, Historical, and Third-Party Data
Take existing client collected local data and instrument to allow for advanced analytics
Our client had significant amounts of locally collected data like local grove maps, site soil maps, and tree inventory, in addition to local weather, soil IoT, and spectral sensors. However, these individual data sources were not connected together in a meaningful way or down to the individual plant. They wanted to utilize their existing data to allow for advanced Plant Science analytics.
Client Provided Raw Data:
Digitized, collected, and fused all data sets utilizing the AgLayers Data Science Cloud
Not only did we digitize our client’s existing historical data, we expanded with our own multispectral data collects and supplemented with local weather, soil IoT, and spectral sensors.
At this point, we established geo-rectified blocks to create a database of each individual tree asset and further analyzed by creating a foundation Morphology object. With the variety of independent data sets digitized and geo-rectified, we were able to fuse the data sets together to create meaningful views for further analysis.
A unified data set that can be extended and improved with supplementary data
With this complete data set, our client’s Plant Scientists and study yield versus local farm management techniques and applied treatments to optimize performance.
Geo-Rectified Tree Asset Objects with Fused Datasets:
|1 – Digitize existing client provided historical data:
||4 – Establish Geo-Rectified Blocks:
|2 – Insight-specific data collects:
||5 – Produce Morphologies
|3 – Bring Your Own Data (BYOD):
||6 – Fuse & geo-rectify data sets:
|7 – Metrics by layer