About this eBook
Today’s farmer has more data available and
much more computing power than it took to put a man on the moon.
Weeds and invasive species pose a significant threat to farming and agriculture with traditional efforts to control and eradicate them costly and time-consuming for farmers. Remote sensing and innovative machine learning (ML) technology can be used to detect and monitor the presence of weeds and invasive species, especially in large or remote areas where it might be difficult to conduct on-ground surveys.
Fill out the form to read our eBook on how geospatial AI streamlines weed and invasive species detection using artificial intelligence & discover:
- Why weed and invasive species detection is crucial in agriculture.
- The differences between manually detecting weeds versus automatically detecting weeds and invasive species through artificial intelligence and machine learning
- The results of using machine learning to detect weeds along with a real-life example.
- How geoAI can be used in other farming and agriculture use cases.
