TasselGAN: An Application of the Generative Adversarial Model for Creating Field-Based Maize Tassel Data

Active learning with point supervision for cost-effective panicle detection in cereal crops

(2020) Akshay L. Chandra et al.   Plant Methods

Weakly Supervised Deep Learning for Segmentation of Remote Sensing Imagery

(2020) Sherrie Wang et al.   Remote Sensing

Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset

(2018) R. Barth et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

The use of plant models in deep learning: an application to leaf counting in rosette plants

(2018) Jordan Ubbens et al.   Plant Methods

Color-Based Segmentation of Sky/Cloud Images From Ground-Based Cameras

(2017) Soumyabrata Dev et al.   IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

TasselNet: counting maize tassels in the wild via local counts regression network

(2017) Hao Lu et al.   Plant Methods

TIPS: a system for automated image-based phenotyping of maize tassels

(2017) Joseph L. Gage et al.   Plant Methods

A brief introduction to weakly supervised learning

(2017) Zhi-Hua Zhou   National Science Review

Automated characterization of flowering dynamics in rice using field-acquired time-series RGB images

(2015) Wei Guo et al.   Plant Methods

A Hybrid Thresholding Algorithm for Cloud Detection on Ground-Based Color Images

(2011) Qingyong Li et al.   JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY