I'm currently developing Canopia Agrotech as part of my Master's thesis in Innovation and Entrepreneurship, and I'm exploring the next generation of satellite imagery for precision agriculture.
The goal of the project is to monitor individual trees in woody crops (such as olive, almond, and pistachio orchards), detect early signs of stress or disease, and provide actionable insights that help farmers reduce losses and optimize field management.
Most current agricultural platforms rely on multispectral imagery (e.g., Sentinel-2), which works well at the parcel level. However, my research is investigating whether combining higher spatial resolution, hyperspectral imagery, and AI could make reliable tree-level monitoring possible from satellite data.
I'm curious:
- Does Planet currently offer hyperspectral imagery, or have plans to integrate it into its commercial products?
- Have you seen successful applications of hyperspectral satellite data for tree-level health monitoring in agriculture?
- Would you recommend combining Planet imagery with other hyperspectral data sources for this type of use case?
I'd love to hear your thoughts or be pointed toward any relevant resources or case studies.
Thank you!
#PrecisionAgriculture #RemoteSensing #Hyperspectral #EarthObservation #SatelliteImagery #AI #AgTech #MastersThesis
