We collected blocks that were able to be ground navigated using our existing ground LiDAR. In addition, we were able to produce data sets for other blocks that were not able to be navigated on the ground with 5/10-Band Multispectral, allowing for future data fidelity with aerial Geiger Mode LiDAR (GML).

In the challenge for researchers to find scions with higher tolerance to HLB, Plant Scientists not only need precise data, they need all of it. They needed assistance in compiling the various data sources and data sets into one unified place to perform statistical analysis.

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.

“Utilizing Agerpoint’s technology was really helpful in the data analysis. When you work with cutting edge growers, it is difficult to see with the naked eye ‘success’. Agerpoint not only shows you the field improvements, but its verified in the final data. Proud to work with them.” – James Henderson, CEO, Prime Dirt, Inc.

Our client needed a way to easily identify areas of poor weed control, while at the same time decreasing the labor associated in this management process. Historically this process has been a manual inspection on each row by farm employees – increasing time and cost.

Agerpoint collected data points on tree height, canopy diameter, truck diameter, canopy volume, canopy density down to the individual tree level. In addition, yield estimation on a per tree basis was also provided.

Leveraging existing data sets, an on­line mobile mapping solution was developed to allow low skill workers to e­fficiently, and accurately, navigate to specific trees and capture the data from the field directly into the mobile application.

The benefit to fusion of ground and aerial data is the ability for advanced analysis of disease down to the individual tree level. In addition, the availability of year-over-year data allowed for sophisticated decision prediction and management.

Combining data collected by Agerpoint, we were able to create a year-over-year yield visualization on a variety basis.

Created detailed report with historical data from Agerpoint’s scans and logging damage to trees in the Agerpoint platform

The challenge was to accurately and efficiently be able to calculate the canopy volume of the tree. Booth turned to Agerpoint.