Learning to Estimate Vegetation Density from Images. A Deep Learning Approach

RobustLinks has been developing computer vision algorithms for clients in agricultural applications. To demonstrate some of the potentials of Convolution Neural networks we built a system that learns to estimate the density of vegetation in an image at any scale. This is joint work with Sagar Waghmare, an expert in Deep Learning and Computer Vision.

We used Plant Phenotyping DataSet to train a CNN for semantic and instance segmentation tasks. See Plant-phenotyping and how it was collected. The CNN code can be found on Github 

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