Advanced Growing Resources

We aim to save farmers time and money by helping them detect plant disease early and quickly enact solutions with cutting edge optical technology.

Value Proposition

For crop growers and crop scouts who need to contain plant infections, the AgCorder sees beyond the human eye to provide quicker and earlier disease detection using leaf-level optical scanning and data aggregation. Our product costs far less than other solutions that also require large investments of time, expertise and chemicals.

Our Solution

The AgCorder is a handheld sensor platform that allows commercial growers and consultants to test for a wide range of diseases among different crops right from the source of the problem - the plant leaves themselves. This device bypasses the traditional barriers of lab testing and analytics by allowing growers or consultants to collect and process a leaf sample at the same time right in the field; the proven optical technology upon which the AgCorder is built allows samples to be correctly and safely sampled with minimal risk of contamination to other plants or long delays in getting results back.

This efficient and accurate method of disease detection allows for much more targeted preventative action and effective treatment on crops through methods already commonly utilized by growing communities. The AgCorder fills a niche in small-scale agriculture management that has up to this point been ignored in favor of drone or satellite imagery that smaller farmers have neither the need nor resources for to manage their own yields, and through the versatility of its base technology offers large potential to be expanded into nearly any industry where on-site quality control is a must.

Meet Our Team

We're a group of passionate Optical, Electrical and Software Engineers.

Francis Pellegrino
Chief Executive Officer
Optical Engineering
University of Rochester

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Heriniaina Rajaoberison
Chief Technical Officer
Optical Engineering
University of Rochester

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Andrew Thankson
Product and Software Lead
Computer Science
University of Rochester

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