Proofminder provides an AI-powered platform delivering ultra-precise, leaf-level insights for diverse agricultural operations. This intelligence enables growers to spot issues early, optimize resource use, and increase yield potential across row crops, orchards, and vineyards. The platform integrates with existing farm machinery to automate monitoring, reduce input waste, and support sustainability goals.
Funding
$11.1K 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.
EBFounders
Product
Problem
Growers often lack detailed, plant-level insights needed to optimize crop management, leading to inefficient resource allocation, increased chemical usage, and reduced yields. Traditional methods of field monitoring are time-consuming, labor-intensive, and lack the precision required for sustainable and profitable farming.
Solution
Proofminder offers a leaf-level farming platform that provides actionable insights on individual plants, enabling growers to monitor crop health and optimize inputs with 99% accuracy. By leveraging high-resolution drone imagery and AI-powered analytics, the platform delivers detailed reports on plant population, weed detection, variable-rate application (VRA) spraying maps, plant damage analysis, and yield assessment. This technology allows farmers to make data-driven decisions, improve yield and quality, reduce chemical usage by up to 80%, and achieve a 2-5x ROI per hectare. Proofminder's platform supports various crops, including field crops, vegetables, orchards, and seed production, providing tailored solutions for diverse agricultural needs.
Target Audience
Proofminder serves field crop and vegetable growers, orchards and wineries, seed companies, drone service providers, and agro insurance and certification agents seeking to improve crop yields, reduce costs, and enhance sustainability.
Features
- High-resolution drone imagery (<0.5 cm/pixel) for detailed field analysis
- AI-powered analytics for plant-level insights and recommendations
- Automated plant counting and classification by size
- Weed detection (green-on-green and green-on-brown) for precise spraying
- Variable-rate application (VRA) maps for optimized input management
- Plant damage analysis for timely intervention
- Yield assessment for accurate crop yield prediction
- Rock detection for safer cultivation practices
- Vole hole detection for damage prevention
- Web application for easy access to reports and insights