For the agriculture innovators

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Use Cases

With great power comes great responsibility

Agricultural robots

Use autonomous robots to handle essential agricultural tasks such as harvesting crops at a higher volume and faster pace than human laborers.

Crop and soil monitoring

Process data captured by drones and/or software-based technology to monitor crop and soil health.

Predictive Analytics

Track and predict various environmental impacts on crop yield such as weather changes, estimations of precipitation and evapotranspiration.

Disease detection

Reduce the work of monitoring in big farms of crops, and detect the symptoms of diseases when they appear on plant leaves at a very early stage.

Phenotyping

Enable automatic, precise, high-throughput measurements as well as an exact analysis of the traits and factors that affect them.

Grading and sorting

Provide an algorithm with a set of “good” crop and another set of crop with defects to classify (grade) additional crop based on the sample.

Yield estimation and evaluation

Computer vision techniques can be applied to crops to evaluate which are ready to harvest, allowing farmers to better plan their activities.

Livestock management

Track and analyze behavior patterns on the level of individual animals and determine the health of the individual, as well as the overall health of the herd.

Download our 3 pager to find out more about:

Challenges that agriculture companies have
How AI can help your  business be automated
More use cases where AI can help you
The benefits of the Super.AI solution
Additional customer case studies
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Case Studies

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The 3 Pillars of super.AI

Worlds first guaranteed AI service

All you have to do is choose your desired quality level - we can guarantee that for you. We can deliver that thanks to your data programming and Meta AI capabilities.

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AI doesn't have to be complicated. We offer a single interface and infrastructure. You only integrate once and we take care of the rest.

90% cost saving with weak supervision

Use all sources of supervision and combine them to achieve your required quality threshold. The more information you add, the higher the quality.

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