DeepAgro utilizes generative AI for real-time weed detection and selective spraying, significantly reducing agrochemical usage by up to 90% based on weed density in soybean crops. Their platform also integrates agricultural data, enabling farmers to monitor crop health and optimize resource allocation efficiently.
Funding
$2M 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
Current methods of weed control in agriculture rely on broad-spectrum herbicide applications, leading to increased costs, environmental damage, and the development of herbicide-resistant weeds. Farmers lack precise tools to target weed infestations effectively, resulting in unnecessary chemical usage and reduced crop yields.
Solution
DeepAgro offers an AI-powered precision spraying solution that detects and targets weeds in real-time, reducing herbicide use by up to 90%. The system utilizes generative AI and computer vision to differentiate between crops and weeds, enabling selective application of herbicides only where needed. This approach minimizes environmental impact, lowers input costs for farmers, and helps prevent the spread of herbicide-resistant weeds. DeepAgro also provides a data integration platform that allows farmers to monitor crop health and optimize resource allocation through seamless integration of agricultural data streams.
Target Audience
DeepAgro's primary customers are soybean farmers and agricultural businesses seeking to reduce herbicide costs, improve crop yields, and implement sustainable farming practices.
Features
- Real-time weed detection using generative AI and computer vision
- Selective herbicide application, reducing agrochemical usage by up to 90%
- Integration with existing spraying equipment for easy deployment
- Ostrich SaaS platform for agricultural data integration and standardization via APIs
- Crop health monitoring and resource optimization tools
- Weed mapping to track infestation patterns and inform future management decisions