[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenoty**: a review

Y Jiang, C Li - Plant Phenomics, 2020 - spj.science.org
Plant phenoty** has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …

High-throughput estimation of crop traits: A review of ground and aerial phenoty** platforms

X **, PJ Zarco-Tejada, U Schmidhalter… - … and Remote Sensing …, 2020 - ieeexplore.ieee.org
Crop yields need to be improved in a sustainable manner to meet the expected worldwide
increase in population over the coming decades as well as the effects of anticipated climate …

[HTML][HTML] Breeder friendly phenoty**

M Reynolds, S Chapman, L Crespo-Herrera, G Molero… - Plant Science, 2020 - Elsevier
The word phenoty** can nowadays invoke visions of a drone or phenocart moving swiftly
across research plots collecting high-resolution data sets on a wide array of traits. This has …

[HTML][HTML] Global wheat head detection (GWHD) dataset: A large and diverse dataset of high-resolution RGB-labelled images to develop and benchmark wheat head …

E David, S Madec, P Sadeghi-Tehran, H Aasen… - Plant …, 2020 - spj.science.org
The detection of wheat heads in plant images is an important task for estimating pertinent
wheat traits including head population density and head characteristics such as health, size …

Training instance segmentation neural network with synthetic datasets for crop seed phenoty**

Y Toda, F Okura, J Ito, S Okada, T Kinoshita… - Communications …, 2020 - nature.com
In order to train the neural network for plant phenoty**, a sufficient amount of training data
must be prepared, which requires time-consuming manual data annotation process that …