Use AI vision to optimize the whole process: from the preparation of the soil and the sowing of seeds, to the irrigation, weed protection and harvesting.
THE CHALLENGES OF AGRICULTURE BY 2030:
will populate the planet Earth.
is how much food production
will need to increase to meet the demand.
Harvest losses annually
due to climate change.
No more flying blind with limited data. Instead, make informed decisions to successfully run a healthy, efficient and agile farm or plantation.
From rainfall to temperature through to humidity levels, AI can help farmers foresee changes in weather conditions to protect crops and yield more produce.
Vision AI can determine the best produce
to grow and fertilizers to enhance
crop health and quality.
Between 20-40% of global crop production is lost to pests annually.
Like magic, AI algorithms use satellite images and compare them with historical data to detect whether a single insect has landed on the crops.
Integrate AI into your business to make a difference
AI has multiple applications in agriculture, among others:
- Energy management
- Pest detection
- Crop monitoring
- Automate tasks
- Livestock health monitoring
- Precision farming
- Human-Machine collaboration
- Automatic weeding
- Fault detection
- Security purposes
Robots are used for tasks such as weed control, soil analysis, field control. They can also reduce significantly human labor.
Vision AI can be combined with agricultural robots to increase productivity, optimize resources and lower waste.