Bridgesoft develops AI-driven agricultural machinery that utilizes deep learning and image processing technologies to optimize pesticide and fertilizer application, significantly reducing waste. By enhancing operational efficiency, the company helps farmers lower costs and improve profitability while promoting sustainable agricultural practices.
Funding
$500K 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
Conventional agricultural spraying and liquid fertilization machines often operate inefficiently, leading to excessive use of pesticides and fertilizers. This over-application increases operational costs for farmers and contributes to environmental pollution, negatively impacting soil quality and sustainability.
Solution
Bridgesoft develops smart agricultural machinery that leverages deep learning and image processing to optimize the application of pesticides and fertilizers. Their technology integrates embedded hardware and edge computing to enable existing machinery to perform targeted spraying and liquid fertilization. By identifying harmful plants and precisely applying herbicides only to those areas, and similarly applying liquid fertilization directly to plants, Bridgesoft's solutions minimize waste and maximize resource utilization. This approach reduces costs for farmers, enhances crop quality, and promotes environmentally sustainable agricultural practices.
Target Audience
Bridgesoft's primary customers are farmers seeking to reduce operational costs, improve crop yields, and adopt sustainable agricultural practices, as well as agricultural machinery manufacturers looking to integrate advanced technology into their products.
Features
- AI-powered object recognition algorithms for precise detection of harmful plants
- Embedded computer-supported software for managing mechanical components
- Real-time image processing for targeted spraying and fertilization
- Integration of deep learning for increased efficiency in targeting
- Modular software design compatible with Industry 4.0 standards
- Up to 90% reduction in herbicide use through targeted application
- Up to 30% reduction in fertilizer use through precise application