Easy MPE: Extraction of Quality Microplot Images for UAV-Based High-Throughput Field Phenotyping.
Léa TreschYue MuAtsushi ItohAkito KagaKazunori TaguchiMasayuki HirafujiSeishi NinomiyaWei GuoPublished in: Plant phenomics (Washington, D.C.) (2019)
Microplot extraction (PE) is a necessary image processing step in unmanned aerial vehicle- (UAV-) based research on breeding fields. At present, it is manually using ArcGIS, QGIS, or other GIS-based software, but achieving the desired accuracy is time-consuming. We therefore developed an intuitive, easy-to-use semiautomatic program for MPE called Easy MPE to enable researchers and others to access reliable plot data UAV images of whole fields under variable field conditions. The program uses four major steps: (1) binary segmentation, (2) microplot extraction, (3) production of ∗.shp files to enable further file manipulation, and (4) projection of individual microplots generated from the orthomosaic back onto the raw aerial UAV images to preserve the image quality. Crop rows were successfully identified in all trial fields. The performance of the proposed method was evaluated by calculating the intersection-over-union (IOU) ratio between microplots determined manually and by Easy MPE: the average IOU (±SD) of all trials was 91% (±3).
Keyphrases
- deep learning
- image quality
- convolutional neural network
- high throughput
- quality improvement
- artificial intelligence
- optical coherence tomography
- computed tomography
- study protocol
- climate change
- clinical trial
- single cell
- big data
- electronic health record
- randomized controlled trial
- ionic liquid
- phase ii
- magnetic resonance imaging
- phase iii