This repository provides the implementation of the methods described in the paper Wen, J., Abeel, T., & De Weerdt, M. HIPOP: A Harvest Optimization Framework Based on Predictions from Time-Lapse Image Processing. Under review. The code is designed to facilitate reproducibility and extendibility of our research findings. If you find this repository or the associated paper helpful in your research, please consider citing our work (details below).
Key features of this repository include:
- Scripts of the main workflow of the four stages discussed in the paper.
- Scripts of main functionalities.
- Example middle-stage data.
This project was funded by the following organizations:
- Topsector Tuinbouw & Uitgangsmaterialen
- Innovatiefonds Hagelunie
- Interpolis
We are grateful for their support, which made this research possible.
The MIT License (MIT)
Copyright (c) 2024 Junhan Wen
Permission is hereby granted, free of charge, to any person obtaining a copy of the scripts and associated documentation files (the "Scripts"), to deal in the Scripts without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Scripts, and to permit persons to whom the Scripts is furnished to do so, subject to the following conditions:
The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Scripts.
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.