Greeneye employs artificial intelligence and deep learning to enable selective herbicide application, significantly reducing chemical usage by up to 90% while targeting specific weed species. This technology addresses the widespread issue of herbicide resistance and environmental contamination caused by indiscriminate pesticide spraying in agriculture.
Funding
$51M 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.
+4Founders
Product
Problem
Farmers face significant economic losses due to weed infestations, leading to the overuse of herbicides in broadcast spraying. This practice contributes to herbicide resistance, environmental contamination, and potential health risks.
Solution
Greeneye offers a selective spraying system that integrates with existing agricultural sprayers, using AI and deep learning to differentiate between crops and weeds. This technology enables precise, real-time application of herbicides only where needed, reducing overall chemical usage by up to 90%. By targeting specific weed species, Greeneye helps combat herbicide resistance and minimizes environmental impact while optimizing crop yields. The system supports both green-on-green and green-on-brown analysis for pre-planting, post-harvest, and in-season applications.
Target Audience
Greeneye targets farmers and agricultural enterprises seeking to reduce herbicide usage, combat herbicide resistance, and improve crop yields in an environmentally sustainable manner.
Features
- AI-powered identification of weeds versus crops for targeted spraying
- Compatibility with existing agricultural sprayer systems for seamless integration
- Real-time, precise application of herbicides only where needed
- Green-on-green analysis for in-season spraying
- Green-on-brown analysis for pre-planting and post-harvest applications
- Species-level weed identification to combat herbicide resistance