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Found 2 papers, 2 papers with code
Simultaneously Predicting Multiple Plant Traits from Multiple Sensors via Deformable CNN Regression
Here, we introduce a relatively simple convolutional neural network (CNN) model that accepts multiple sensor inputs and predicts multiple continuous trait outputs - i. e. a multi-input, multi-output CNN (MIMO-CNN).
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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