At Gamaya, we believe that by working together, we are always more than the sum of our parts. We have collaborated on a variety of projects with key partners to push the limits of remote sensing capabilities in digital agriculture for a variety of crops.
Let's work together!
Partner: ETHZ & DSP Location: Switzerland
Objectives & Results:
HSI for trait discrimination in wheat breading
Develop and release a toolset that supports users in planning and performing successful drone-based remote sensing missions
Establish a data processing pipeline to extract data from photogrammetric products and individual oblique images
Develop methods to extract traits
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Location: Sao Paulo state, Brazil
Objectives & Results:
Monitoring of two commercial citrus orchards:
HSI image capture by UAV
42 trees with collected ground-truth data
Final model (binary classifier) with an accuracy of 70%
Partner: Agroscope Location: Switzerland
Objectives & Results:
Validation of spectral purity of Gamaya hyperspectral imaging (HSI)
Collaboration with a world class field trial team
Benchmarking Gamaya HSI against standard research equipment
Initial results for Nitrogen status (R2=.78) and Dry matter content (R2=.69)
Continued work for phosphorus and potassium status
Location: California, US
Objectives & Results:
Leafroll is a grapevine virus affecting vineyards worldwide
Infected vines result in lower quality and yield - eventual death of vine
Requires replanting of entire vineyard in severe cases
Good prospection requires expert scouting during short period when symptoms are visible, while labor shortage prevents adequate prospection
Effective prospection can save up to $50-100k/ ha in losses over the 35year life time of a commercial vineyard
Data as marketing tool, packaged
“insurance”, and to estimate forecast demand
Location: Brazil
Objectives & Results:
This proof of concept is a suite of analytics for eucalyptus plantation monitoring including:
Leaf-cutting infestation mapping using different satellite imagery
In-parcel crop health monitoring, particularly anomaly detection
Health index comparisons across parcels/compartments
Nest detection and counting methods
Looking for a collaboration partner on the next trailblazing digital Ag project?
We are always open to new collaboration oppotunities to improve agricultural processes with remote sensing data and cutting-edge AI.