AgroScout is a precision-agriculture crop monitoring and analytics platform that uses machine learning to analyze imagery collected from:
- **Smartphones (ground scouting)**
- **Off‑the‑shelf drones (aerial scouting)**
- **Satellites (NDVI/RGB monitoring)**
The platform converts imagery into maps, alerts, and reports intended to help growers, agronomists, processors, and ag retailers detect crop stress, pests, diseases, and stand/emergence issues earlier than manual scouting alone, and to coordinate actions across teams via mobile and web dashboards.
On its website, AgroScout lists leaf-level pest and disease detection, plant counts/stand evaluation, canopy coverage/biomass estimation, orthomosaic/NDVI field mapping, and satellite monitoring; it also mentions a carbon-footprint feature.
Important caveat: Many performance and ROI claims on vendor materials (for example, statements of substantial productivity increases associated with drone use) are presented without publicly disclosed methodology or independent validation. These statements should be validated through vendor-provided study details, pilot programs, or independent references.