Analysis code for: Classification of daily crop phenology in PhenoCams using deep learning and hidden markov modelss
Creators
Description
This is the analysis code repository for the following study:
Taylor, SD and Browning, DM, 2022. Classification of daily crop phenology in PhenoCams using deep learning and hidden markov modelss. bioRxiv. https://doi.org/10.1101/2021.10.20.465168
Note the initial version was titled "Deep learning models for identifying crop and field attributes from near surface cameras" and was changed during the review process.
The original repo is also here: https://github.com/sdtaylor/PhenocamCNN2
See the readme.md file in the primary PhenocamCNN.zip for descriptions. PhenocamCNN.zip contains all code in the analysis, and data to reproduce the manuscript figures. The only thing not included is the fitted keras model file, vgg16_v4_20epochs.h5, which is available by itself since it's quite large.
If you'd just like to use the final predictions of crop and field status you can download the final_predictions.zip file.
Notes
Files
final_dataset.zip
Additional details
Related works
- Is supplement to
- Preprint: 10.1101/2021.05.21.445173 (DOI)