Precision Farming Competition | bitgrit
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Precision Farming Competition

Detect the contour boundaries of cultivated fields from satellite imagery for precision farming.

bitgrit
2 Participants
3 Submissions
Brief
Agriculture is shifting to precision farming methodologies, allowing to use less water and chemicals and reducing its environmental impact. Technology has been a key factor in this shift: access to new high-resolution and high-frequency satellite data is revolutionising the way information about fields and crops are gathered, managed, and used to make informed, data-driven decisions. The first step in gathering information about a specific crop is to identify the field from satellite imagery. This is the focus of this challenge.
Timeline
Data Breakdown
Note: a file containing more information is contained within the dataset zip file. Detect the contour boundary of the cultivated fields. The solution should take the satellite image as input and give a monochromatic output of the same resolution containing only the contour outlines and the geographic metadata. Use the best spectral band(s), pre-processing and contour boundary detection strategy to accomplish the task. The solution should work both on the provided sample data and new data. Outputs should follow the format: Field_Id,Crop_Id_Ne 3,2 4,4 3,5 etc.
FAQs
Rules
During your participation in this competition, we ask that you abide by the Non-Disclosure Agreement, which acceptance of is a mandatory step in participating in this competition. Where a winning result is matching with another users in accuracy, the earliest submission will be judged as the winner, with submission time taking precedence in a linear fashion. Example: 97.7% submission at 10:01 UTC winning over 97.7% submission at 10:07 UTC. Please do not contact Klimazone directly in regards to this competition, and if you have any queries regarding this competition, please contact us at: [email protected]
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