How Precision Farming Annotation Maximized Yield, Minimized Agricultural Resources & Enhanced ROI

Our first phase of review of Annotation Box has been completed, where they implemented AI techniques in “precision farming,” using annotated data to train AI models significantly improved yield, with minimum wastages and no harm to the environment. We are delighted with the final results.

Michael M. Lanham,  Phd Scholar, Precision Agriculture, University of New England

How Precision Farming Annotation Maximized Yield, Minimized Agricultural Resources & Enhanced ROI

Problem

The leading farming company moved to “Precision Farming” as attracted to its benefits. However, it failed to get the desired results as lack of data to train the AI models.

Solution

AnnotationBox implemented high-quality data training for AI models and combined manual and automated annotation techniques to improve yield while minimizing wastage.

Result

A farming company able to predict potential crop diseases that increase the yield quality and quantity with minimized wastages and lesser impact on the environment.

Bottom Line Impact

35,000

Annotated trained models
Increased
Crop yield by 55% & profit by 75%
Decreased
Wastages by over 40%

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