Awesome deep learning in crop field phenotyping
2022 : Please note that this list is no longer edited
A curated list of papers related to plant phenotpying using deep learning and resources. We will try to select reproducibly methods with public datasets. Because a large numbers of papers have been published in controlled conditions, we focus here on field conditions.
Papers
Counting plant/ leaves
regression / density estimation
- DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning [arXiv]
- TasselNet: Counting maize tassels in the wild via local counts regression network [arXiv]
- Pheno-Deep Counter : [Researchgate]
- SFC²Net Rice Density estimation [Link]
- Benchmark Regression vs counting [Link]
Object detection
- Ear density estimation from high resolution RGB imagery using deep learning technique [arXiv]
Segmentation
- Crop and Weed [Link]
Organ recognition
- StalkNet: A Deep Learning Pipeline for High-Throughput Measurement of Plant Stalk Count and Stalk Width [arXiv
- Ear density estimation from high resolution RGB imagery using deep learning technique [arXiv]
Disease
Phenology
Dataset
- MTC maize tassel dataset (points) [Link]
- Global wheat dataset (objects) [Link]
- IPPN plant phenotyping datasets [Link]
- Plant village dataset [Link]
- Fully Convolutional Networks with Sequential Information for Robust Crop and Weed Detection in Precision Farming [Paper]
- EasyPCC [Link]
- A crop/weed field image dataset for the evaluation of computer vision based precision agriculture tasks [Paper]
- A Public Image Database for Benchmark of Plant Seedling Classification Algorithms [Paper]