Tree counting
It is an inventory tool that performs accurate large-scale tree counts from aerial or satellite imagery. Through automated detection, it generates a reliable census to assess planting density and manage agricultural assets.
It is an inventory management tool designed to perform accurate large-scale tree counts from aerial or satellite imagery. Using a machine learning–based object detection model, users can upload an image of a plantation or orchard to obtain an automated and reliable tree census, providing essential data to assess planting density and manage agricultural assets.
Water production and storage, and water use efficiency
Main theme:
North
Region:
300 - 400
Precipitation (mm):
Low
Application difficulty:
1, 2, 8, 5, 10, 13, 15, 14, 12 and 17
SDGs impacted:
Electric
Energy used:
70 - 90
Efficiency (%):
Urban/Rural
Sector:
It promotes precise resource management. Knowing the exact number and density of trees enables the selective application of water and fertilizers, reducing waste, preventing chemical runoff, and supporting healthier, more resilient forests. It also helps detect early tree mortality or illegal logging, enabling rapid intervention to protect the ecosystem.
Expected environmental impact:
Free
Estimated value:
Links of interest: