Leaf Guardian employs AI-enhanced analysis of RGB reflections to detect micro-changes in plant health, providing real-time alerts and automated nutrient management to optimize crop growth. This technology addresses the issue of excessive fertilizer use, enabling farmers to achieve higher yields while reducing fertilizer inputs by up to 50%, thus minimizing environmental pollution.
Funding
$800K 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
Farmers often apply excessive fertilizer to ensure high yields and protect against unexpected stressors like disease or temperature fluctuations. This practice leads to wasted resources, increased operational costs, and environmental damage through soil and water pollution. Over-fertilization can also cause salinization, actively harming crops and reducing overall yield.
Solution
Leaf Guardian offers an AI-powered precision agriculture platform that optimizes fertilizer use in greenhouse-grown crops. The system continuously analyzes RGB reflections from plant leaves, detecting subtle changes in plant health days before they are visible to the naked eye. This early detection enables automated adjustments to the fertigation system, ensuring plants receive the precise amount of nutrients needed, no more and no less. By providing real-time alerts and data-driven recommendations, Leaf Guardian helps farmers minimize fertilizer inputs, maximize crop yields, and reduce environmental impact.
Target Audience
The primary target audience includes greenhouse farmers growing crops with fertigation systems, particularly in regions where fertilizer overuse is penalized.
Features
- Continuous 24/7 plant health monitoring using standard video camera images
- AI-enhanced analysis of RGB reflections to detect micro-changes in plant health
- Machine learning algorithm that detects early signs of nutritional issues
- Automatic adjustment of fertigation systems based on real-time data
- Alerts delivered via instant messaging, advising farmers on fertilizer adjustments
- Cloud-based data analysis and storage
- Patented technology for early plant health detection and response