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

• Wheat Fusarium [Link]
• Maize Nother leaf blight [Link]

Phenology

• Flowering Wheat [Link]
• Flowering Wheat (IOT) [Link]

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]

Tools

• Deep Plant Phenomics [Paper]
• PlantCV [Paper]
• Pheno-Deep-Counter [Paper]