Artificial Intelligence For
Agriculture

Use AI to monitor crops and livestocks, detect loading/unloading damage, assess storage cleanliness, detect diseases, predict yeild, and more

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Use Case

SuperAIP Solutions


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Reports

Yield estimation and evaluation

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

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Reports

Disease detection

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

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Case Study

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.

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Reports

Crop and soil monitoring

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



Get in Touch




SuperAIP and its team of professionals are here to make your Artificial Intelligence journey more fruitful. Feel free to reach out to us for any queries at the below mentioned details. Start you AI learning journey today.


info@superaip.com

  +918595912427