Alteia Weed Management analytics help drive Precision Agriculture practices, by delivering maps to be used for herbicide sprayer control in field.
This tutorial explains how to run and use the results of these analytics.
This analytic detects weeds on bare soil or row crops and generates a prescription map, that can be exported to the sprayer.
1. Compatible sensors
- Micasense RedEdge 3, mini and MX, P4PM
2. Required Inputs
In order to run this analytic, following ones shall have been preliminary processed:
- Scouting Maps (Photogrammetry for Agriculture & Forestry)
- Field Boundaries (How to create a Field Boundaries)
- Row Vectorization (for row crops) (Row vectorization)
3. Output File Formats
- Weed mask: tif
Attributes of the output vector file:
- id: identifiant of the area (weed zone or no weed zone)
- area: surface of the area (m²)
- rate: dosis selected in input
- density: density of weeds per area in %
- mean: average NDVI into the area (between 0 and 1)
4. Running the analytic
Step 0 - Launch the row vectorization if you need to detect the weeds in a cultivated field (see the following article Row vectorization)
Step 1 - Open your Site, go first to the Analytics panel then to Weed Management section and press Run button.
Step 2 - Select a Scouting map (NDVI is recommended).
Step 3 - Select the Field Boundaries.
NB: If the message “No Datasets Satisfy the criterion” appears, that means you should first upload the field boundaries in site (selecting category: Field Boundaries)
Step 4 - Select the Rows vector file (for weed detection within cultivated field)
Step 5 - Fill information about field and sprayer:
Step 6 - Press Launch weed management button.
5. Exploring Results
Weed zone layer
Go to Layers panel, to SURVEY DATA section, and tick the Weed zones layer from Precision Ag (you can rearrange layers organization if needed):
Click on the layer to open its information panel on right side:
Weed zones are displayed in green in the example above. Click on one of these zones to read its results:
- Weed density, expressed as a percentage
- Mean NDVI (between 0 and 1)
If you display the weed mask layer, you can visualize the detected weeds in red.
See the following article to export the data: Exporting Data