Skip to Main content Skip to Navigation
Directions of work or proceedings

Preliminary study for weed biomass prediction combining visible images to a plant-growth model

Abstract : This preliminary study was designed to test an image approach (RGB images) to estimate crop and weed aerial biomass (BM) and predict their growths. From an image processing, based on crop/weed discrimination, a calibration was done between photographed leaf area (PLA) and BM deduced from a standard (destructive) approach. Then, a plant growth model component (AZODYN) was used with PLA as input, considering wheat and weeds separately. For wheat, the results confirm that to initialize the model, the image approach may replace the standard one with no impact on the values of predicted BM whereas weed results are more mixed.
Document type :
Directions of work or proceedings
Complete list of metadata

https://hal.inrae.fr/hal-02788513
Contributor : Migration Prodinra Connect in order to contact the contributor
Submitted on : Friday, June 5, 2020 - 3:42:29 AM
Last modification on : Thursday, July 30, 2020 - 10:56:15 AM

Identifiers

Citation

Josselin Merienne, Annabelle Larmure, Christelle Gée. Preliminary study for weed biomass prediction combining visible images to a plant-growth model. 12. European Conference on Precision Agriculture, Jul 2019, Montpellier, France. Wageningen Academics Publishers, pp.597-603, 2019, 978-90-8686-337-2 978-90-8686-888-9. ⟨10.3920/978-90-8686-888-9_74⟩. ⟨hal-02788513⟩

Share

Metrics

Record views

34