NDVI imagery for agriculture

Common uses

Assessing crop canopy in row crops and individual plant vigor in vineyards and orchards
Determining plant stand populations and weed density
Providing year-to-year comparisons to evaluate management decisions
In vineyards, harvest planning for uniform maturity and preferred quality
Evaluating long-term effects of stress on perennials and annuals

How it works

NDVI measures the difference between visible and near-infrared (NIR) light reflectance from vegetation to create a snapshot of photosynthetic vigor.

Vegetation in a vigorous canopy will absorb visible light and reflect most NIR light—whereas a sparse canopy will reflect more visible light and less NIR light. The imagery represents these differences in light reflectance using a color classification ranging from red to green, with red indicating the least vigorous crop canopy.

NDVI imagery is most powerful and cost-effective when used in conjunction with Ceres Imaging’s Chlorophyll Index, which provides a complementary view of the quality—rather than the density—of the crop canopy. Together, the two types of imagery tell a holistic story of plant health and nutrient availability, helping growers pinpoint insect and disease pressures and areas of poor soil fertility in each field.

From imagery
to action

High-resolution multispectral imagery is only the beginning. Our analytics tools help you interpret your data—translating what you can see in your imagery into what you can do about it.

Clogs

The red rings show where a clogged nozzle has resulted in underwatering.

Nutrient deficiency

In this field, stressed areas were found to correspond to areas with an inferior soil type.

Regulator error

The stressed area in the center of this field was caused by improperly set irrigation regulators.

Damaged drip line

Damage to drip line in this field resulted in large areas of decreased canopy vigor.

Ensuring accuracy

Ceres Imaging’s emphasis on quality begins even before we fly your fields.

Image capture

We capture imagery during peak daylight hours and under weather conditions that minimize distortion from shadows and cloud cover. Our highly sensitive, custom-built cameras detect minute changes in the multispectral range—allowing us to detect crop stress earlier than our competitors.

Processing and analysis

Imagery is geo-referenced and meticulously “masked” to ensure that only relevant information is evaluated. By making use of crop-specific data models and isolating the canopy from ground cover and other background noise, we prevent skewing of the data and enable a more accurate assessment of plant health.

Quality control

Imagery is assessed in-house by Ceres Imaging’s remote sensing experts, passing through multiple checkpoints before delivery in the Ceres Imaging app within 48 hours of the flight. Growers can access their data on a mobile device, tablet, or desktop computer.

The difference between Ceres AI and other technologies I've used is the help I get from their expert team.

Jake Samuel, Partner

Samuel Farms

With Ceres AI we can take a more targeted approach to applying fertilizer and nutrients.

Brian Fiscalini, Owner

Fiscalini Cheese Company

These flights can cover way more ground and provide more insight than a dozen soil moisture probes — and it's cheaper to implement.

Patrick Pinkard, Assistant Manager

Terranova Ranch

The average Ceres AI conductance measurement from its imagery over the season has provided the best correlation with applied water.

Blake Sanden

University of California Cooperative Extension

NDVI

Common uses

How it works