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Found 3 papers, 1 papers with code
VisTA-SR: Improving the Accuracy and Resolution of Low-Cost Thermal Imaging Cameras for Agriculture
Thermal cameras are an important tool for agricultural research because they allow for non-invasive measurement of plant temperature, which relates to important photochemical, hydraulic, and agronomic traits.
End-to-end deep learning for directly estimating grape yield from ground-based imagery
The object detection model was trained on hand-labeled images to localize grape bunches, and either bunch count or pixel area was summed to correlate with grape yield.
A workflow for segmenting soil and plant X-ray CT images with deep learning in Googles Colaboratory
Recent advances in machine learning, specifically the application of convolutional neural networks to image analysis, have enabled rapid and accurate segmentation of image data.
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