Loading...
Please wait, while we are loading the content...
Similar Documents
Robust Species Distribution Mapping of Crop Mixtures Using Color Images and Convolutional Neural Networks
| Content Provider | MDPI |
|---|---|
| Author | Rasmus, Nyholm Jørgensen Skovsen, Søren Kelstrup Laursen, Morten Stigaard Kristensen, Rebekka Kjeldgaard Rasmussen, Jim Dyrmann, Mads Eriksen, Jørgen Gislum, René Karstoft, Henrik |
| Copyright Year | 2020 |
| Description | Crop mixtures are often beneficial in crop rotations to enhance resource utilization and yield stability. While targeted management, dependent on the local species composition, has the potential to increase the crop value, it comes at a higher expense in terms of field surveys. As fine-grained species distribution mapping of within-field variation is typically unfeasible, the potential of targeted management remains an open research area. In this work, we propose a new method for determining the biomass species composition from high resolution color images using a DeepLabv3+ based convolutional neural network. Data collection has been performed at four separate experimental plot trial sites over three growing seasons. The method is thoroughly evaluated by predicting the biomass composition of different grass clover mixtures using only an image of the canopy. With a relative biomass clover content prediction of R2 = 0.91, we present new state-of-the-art results across the largely varying sites. Combining the algorithm with an all terrain vehicle (ATV)-mounted image acquisition system, we demonstrate a feasible method for robust coverage and species distribution mapping of 225 ha of mixed crops at a median capacity of 17 ha per hour at 173 images per hectare. |
| Starting Page | 175 |
| e-ISSN | 14248220 |
| DOI | 10.3390/s21010175 |
| Journal | Sensors |
| Issue Number | 1 |
| Volume Number | 21 |
| Language | English |
| Publisher | MDPI |
| Publisher Date | 2020-12-29 |
| Access Restriction | Open |
| Subject Keyword | Sensors Imaging Science Remote Sensing Mixed Crop Mapping Species Composition Estimation Targeted Fertilization Grass Clover Mixtures Proximity Sensing Precision Agriculture Deep Learning |
| Content Type | Text |
| Resource Type | Article |
