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Excellent Result.

YieldEstimator is a service.

The easiest service you can get for yield estimation of your vineyards, only thing you need is a simple action camera.

 

Traditional yield estimation on vineyards is always done by counting buds, flowers, bunches and shoots. It takes too much time and often yields wrong results.

YieldEstimator has a field proven accuracy of up to 99.778%, which is a world's 1st and best accuracy for counting bunches on vineyards. When it comes to estimation of weight, we have an accuracy metric of 87% on a vineyard we have never visited in real life or got any weight metric before the estimation. All of these accuracy metrics achieved by smartphone video or action camera videos. No proprietary hardware required.

YieldEstimator uses advanced and scientifically accurate machine & deep learning powered methodologies utilized by TARSENS R&D LTD and developed by its partners. Our developers are based in Spain, Turkey, Germany, Canada, Japan and New Zealand. It is a 100% remote operation and we've the best image processing team in the world when it comes to agriculture.

To enable high accuracy counting, Occlusion Correction Factor (OCF) and Enhanced Parallax Correction (EPC) used together. OCF and EPC will be optional starting from 2023. To learn more, click here.

To test the system, you can send your own videos from Upload section or join our Free program to get yield estimations for your vineyards, up to 2 rows.

Read our Send A Video page and FAQ for camera settings, video capturing speed and other information that might become handy when you are on your vineyards.

If you want to use this system on your vineyards see our Service Providers page for more info & contacts.

*Limitations apply, see Service Options page.

Click on PDF to download our system's report

prepared by Finest Grape Tech.

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These dots represent the GPS coordinates where the vehicle roams in the vineyard.

It is possible to pinpoint the problematic areas within vineyards.

To learn more about compatible cameras click here.