The startup has developed an AI-powered integrated pest and disease detection system that employs imaging and machine learning technologies for early detection in high-value crops. This system enables farmers to monitor crop health in real-time, reducing pesticide use and labor costs while enhancing crop yield and quality.
Funding
$2.1M 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 crop protection methods face challenges including climate change, regulatory pressures, pest resistance, and rising labor costs, impacting the efficacy and sustainability of agricultural practices. Farmers need tools to proactively manage these evolving threats to maintain crop yield and quality.
Solution
ViewNetic offers an AI-powered pest and disease detection platform that enables a shift from reactive to preventive crop protection. The platform uses high-resolution imaging and machine learning to detect pests, diseases, and beneficial insects at early stages. By integrating data from AI vision sensors and a proprietary data hub, ViewNetic provides real-time analysis and predictive insights. This allows for optimized and precise actions, reducing input costs, improving yields, and minimizing environmental impact through targeted interventions.
Target Audience
The primary target audience includes farmers and agricultural professionals focused on high-value crops, particularly those utilizing intensive farming practices and greenhouses, seeking to optimize crop protection strategies.
Features
- High-resolution imaging sensors capable of detecting objects as small as 100µm, even in motion up to 1.5m/sec
- AI-powered computer vision algorithms for classifying pests, diseases, and beneficial insects
- Real-time data analysis and alerts based on multi-source data integration
- Predictive analytics for forecasting pest outbreaks and beneficial insect establishment
- Optimized action recommendations for precise application of treatments (rate, location, timing)
- Full plant coverage monitoring, including all plant compartments
- Integration with application systems for optimized decision-making