Enhance your agricultural productivity with our crop health data service. Utilizing advanced drones, we provide precise, real-time insights into crop conditions. Detect issues early, optimize resource use, and boost yields with our detailed aerial analysis.

• Increased resolution – Drones can take images with much higher resolution than satellites, important for crops with small leaves, micro plot research, or highly detailed inquiries.
• Faster data acquisition – Drones can collect data faster and with more flexibility than satellites. This allows pilots to account for weather or specific crop stage timing.
• Improved accuracy – Because drones fly low to the ground, they are less affected by atmospheric influences than satellite data. Some vegetation indices attempt to correct for these effects, but drones experience less visual variability.
• Hardware flexibility – Drones or sensors can be changed or updated as needed by pilots.
• Convenience – Drone flights can be scheduled or repeated as needed to capture data at different times or locations.

Multispectral sensors can capture red-edge, near-infrared and short-wave infrared light that, while invisible to us, provides valuable plant information on chlorophyll concentration, cell structure, water content and biochemical components.

This information can be useful to evaluate plant health, for early disease and pest damage, and to assess or predict plant productivity.

Commonly used multispectral vegetation indices

• NDVI (Normalized Difference Vegetation Index including red-edge)
• NDRE (Normalized Difference Red Edge)
• SAVI/MSAVI (Modified Soil Adjusted Vegetation Index)
• EVI (Enhanced Vegetation Index)
• LAI (Leaf Area Index)
• NDWI (Water Index)

Your choice of vegetation index should be crop and intent-driven.

RGB sensors only render vegetation indices (like VARI or GLI) from visible light – basically what your eye registers, but with minute variations. Multispectral sensors such as the ones DroneScout uses, offer a multitude of vegetation index options from invisible infrared wavelengths, helping to reveal patterns not visible to the human eye.