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Found 3 papers, 1 papers with code
Walnut Detection Through Deep Learning Enhanced by Multispectral Synthetic Images
The accurate identification of walnuts within orchards brings forth a plethora of advantages, profoundly amplifying the efficiency and productivity of walnut orchard management.
Fusion-Driven Tree Reconstruction and Fruit Localization: Advancing Precision in Agriculture
Fruit distribution is pivotal in shaping the future of both agriculture and agricultural robotics, paving the way for a streamlined supply chain.
Enlisting 3D Crop Models and GANs for More Data Efficient and Generalizable Fruit Detection
To enable more data efficient and generalizable neural network models in agriculture, we propose a method that generates photorealistic agricultural images from a synthetic 3D crop model domain into real world crop domains.
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