Insignum AgTech develops biotech plants that utilize natural pigments to signal specific stressors, enabling early detection of diseases up to 10 days before visible symptoms appear. This technology allows growers to make timely and precise treatment decisions, optimizing crop management and enhancing yield while reducing unnecessary inputs.
Funding
$600K raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Growers face challenges in detecting crop stress and diseases early, often relying on visual symptoms that appear after significant damage has already occurred. This delay leads to inefficient use of resources, increased input costs, and potential yield losses. Timely and precise intervention is hindered by the lack of real-time, actionable information about plant health.
Solution
Insignum AgTech develops genetically modified plants that express natural pigments to visually signal specific stress conditions, enabling growers to detect diseases and other issues up to 10 days before conventional symptoms manifest. This early detection system allows for timely and precise treatment decisions, optimizing crop management and enhancing yield potential. The plants' signaling mechanism transforms precision agriculture into decision agriculture, empowering growers to treat crops exactly when, precisely where, and only if necessary. By providing advanced notice of plant stress, Insignum's technology facilitates more effective fungicide applications, reduces unnecessary crop protection costs, and improves overall operational efficiency.
Target Audience
The primary target audience includes farmers and growers of commodity crops such as corn and soybeans, as well as agronomists and crop consultants who advise them.
Features
- Patented genes that cause plants to express purple pigments in response to specific stressors.
- Early detection of diseases and stress, up to 10 days before visible symptoms.
- Aerial imagery compatibility for large-scale field monitoring.
- Agronomist-verified results demonstrating the accuracy and reliability of the signaling system.
- Improved scouting efficiency, whether using traditional methods or drone technology.
- Prioritization of fields for treatment based on real-time stress signals.
- Optimization of harvest schedules based on plant health indicators.