farmAIr utilizes patented thermal imaging and artificial intelligence to detect early signs of biotic and abiotic plant stress, enabling farmers to identify issues before visible symptoms appear. This proactive approach helps reduce treatment costs and prevent the spread of diseases, ultimately improving crop health and yield.
Funding
Funding not disclosed
Founders
Product
Problem
Farmers often struggle to detect plant stress early, before visible symptoms appear, leading to increased treatment costs and potential spread of diseases. Identifying these issues in a timely manner is challenging with traditional methods, impacting crop health and overall yield.
Solution
farmAIr offers a patented solution that utilizes thermal imaging and artificial intelligence to detect early signs of biotic and abiotic plant stress. By analyzing thermal and visual aerial photographs, farmAIr's AI algorithms identify stressed plants before symptoms are visible to the naked eye. The technology fuses visual and thermal images to create pseudo-color images, highlighting sub-areas of plants experiencing stress. Farmers and agronomists can then access reports indicating stressed plants, enabling them to take proactive measures and prevent the spread of diseases. The platform also provides navigation tools to locate the exact position of stressed plants in the field.
Target Audience
The primary target audience includes farmers and agronomists, particularly those managing vineyards initially, who seek to proactively manage plant health and improve crop yields by detecting stress early.
Features
- Patented technology using thermal imaging and AI for early plant stress detection
- High-resolution visual and thermal aerial photographs to isolate plants and identify stress
- Machine learning algorithms that fuse visual and thermal images, creating pseudo-color images of stressed areas
- Object Detection algorithms that automatically identify and delimit sub-areas of stressed plants
- Mobile navigation to locate stressed plants in the field with high accuracy (less than 10 cm deviation)
- Comprehensive stress detection report including weather data (live, historical, and forecast), soil data (moisture and temperature), and vegetation/water content indexes (EVI, NDVI, NDWI)
- Digital Surface Map depicting height differences within the field to identify potential irrigation or drainage issues