RESEARCH

Scientifically validated

Ceres Imaging collaborates with university, government, and industry leaders to produce the most reliable and accurate farm management solutions on the market. Our work is validated by independent researchers and field-tested by commercial growers.

University of California Cooperative Extension

Water stress prediction
Ceres Imaging worked alongside the University of California Cooperative Extension (UCCE) on evapotranspiration trials that strongly validated our imagery's ability to identify water stress in almonds. Findings concluded that, "the average Ceres Imaging conductance measurement from its imagery over the season has provided the best correlation with applied water."
aa-1

Agrifutures Australia

Nitrogen requirements in rice
A study by Agrifutures Australia validated the possibility of generating nitrogen topdressing recommendations from remote-sensing data with reduced or no physical sampling. Research agronomist Brian Dunn said, ""After investigating several drone, satellite and aerial imagery options, Ceres Imaging was found to provide the best results at an economical price.
isa-1

Iowa Soybean Association

Precision amendment application rates
Working with industry leaders at the Iowa Soybean Association, we're investigating nitrogen ramps and stalk tests to identify optimal precision amendment application rates for soybeans.

Icon

Get started with Ceres

Schedule a consultation for detailed product info, pricing, and more.

Contact us
The difference between Ceres Imaging and other technologies I've used is the help I get from their expert team.
Jake Samuel, Partner
Samuel Farms
With Ceres Imaging 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 Imaging conductance measurement from its imagery over the season has provided the best correlation with applied water.
Blake Sanden
University of California Cooperative Extension