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Awesome

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

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]

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