How Synthetic Data Can Help
Successful agricultural operations rely on a massive and ever changing barrage of variables, from weather, to invasive weeds and species, to pests.
AI and computer vision can help predict and intervene before costly situations cut into revenue and crop quality. We’re working with our partners in the industry to use synthetic environments and subsequent data and annotations to create the smartest fields.
Use Cases
WEEDS DETECTION
Reduce the use of pesticides by identifying noxious weeds.
PLANT GROWTH
Monitor the different stages of plant growth and optimize production.
CROP SORTING
Optimize the methods of sorting crops to reduce food waste.
AI.Reverie’s agricultural environments with dynamic scenario generation and automated annotations (2D bounding boxes and segmentation masks).