Abstract Title

Blossom Detection for Fruit Yield Prediction

Additional Funding Sources

The project described was supported by Idaho Department of Agriculture.

Abstract

Using Machine Vision techniques we can predict the crop yield of orchards before harvest. This allows farmers to sell their fruits at a higher price and can lead to further developments in ways to increase the efficiency of vineyards. The research will be conducted using color and near-infrared images in conjunction with image segmentation techniques as well as machine learning models.

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Blossom Detection for Fruit Yield Prediction

Using Machine Vision techniques we can predict the crop yield of orchards before harvest. This allows farmers to sell their fruits at a higher price and can lead to further developments in ways to increase the efficiency of vineyards. The research will be conducted using color and near-infrared images in conjunction with image segmentation techniques as well as machine learning models.