Aispot is an agritech startup providing an AI-driven monitoring system for the early detection of airborne plant pathogens. Its solution, combining autonomous air sampling devices and cloud-based analysis, helps farmers optimize crop health.
Aispot is an agritech startup that has developed an automated monitoring system to detect airborne pathogens in crops. The technology consists of SporeScout, a field device that continuously collects air samples, and SporeFinder Pro, an optical unit that automates the analysis of these samples. Using proprietary artificial intelligence models trained on real-world microscopic imagery, the system identifies and quantifies specific plant pathogens in near real-time. This automated pipeline transforms physical bioaerosol samples into actionable digital data, which is then organized and accessible through the company’s dedicated application, allowing users to track disease trends and make informed agronomic decisions without manual laboratory intervention.
By providing early detection of diseases affecting crops such as grapes, apples, pears, and tomatoes, Aispot enables farmers to optimize their use of phytosanitary products and reduce the spread of infections. This approach helps maintain healthier crop yields and promotes more sustainable agricultural practices. Operating as a service-based model rather than requiring heavy upfront equipment investment, Aispot aims to make advanced biological monitoring accessible, addressing the operational complexity and high costs associated with traditional agricultural pathogen detection methods. The company is supported by incubators like Progetto Manifattura and focuses on delivering precise, data-driven insights to improve overall farm management.