A curated list of papers related to plant phenotpying using deep learning and resources. We will try to select reproducibly methods with public datasets

• DeepWheat: Estimating Phenotypic Traits from Crop Images with Deep Learning [arXiv]
• TasselNet: Counting maize tassels in the wild via local counts regression network [arXiv]

• Ear density estimation from high resolution RGB imagery using deep learning technique [arXiv]

• 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]

• 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] [dataset&kaggle]

• Deep Plant Phenomics [Paper]
• PlantCV [Paper]