Monitoring soil health
Conduct chemical soil analyses and provide accurate estimates of missing nutrients.
4.9
#1 AI Data Company
Agriculture
Powering companies in the agriculture industry with the highest quality training data to accelerate ML pipeline.
Use cases
Protecting crops
Monitor the state of plants to spot and even predict diseases and recommend effective treatment of pests.
Feeding crops
Identify optimal irrigation patterns and nutrient application times and predict the optimal mix of agronomic products.
Harvesting, grading and sorting
Automate harvesting and predict the best time for it. Assess features such as ripeness, color, size, and defects.
Livestock counting
Monitor animal detection and eliminate human error for livestock count across different locations.
Detecting weeds
Automate weed detection in farm crops and reduce the need for chemical herbicides.
IntelinAir’s high-quality datasets with SuperAnnotate
IntelinAir uses aerial imagery and AI to help farmers make better, data-driven decisions. With SuperAnnotate, the team accelerated its annotation pipeline while improving both speed and quality.
SuperAnnotate for agriculture
IntelinAir uses aerial imagery and AI to help farmers make better, data-driven decisions. With SuperAnnotate, the team accelerated its annotation pipeline while improving both speed and quality.