DeepCount: In-Field Automatic Quantification of Wheat Spikes Using Simple Linear Iterative Clustering and Deep Convolutional Neural Networks

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

(2018) Jordan Ubbens et al.   Plant Methods

Wheat ear counting in-field conditions: high throughput and low-cost approach using RGB images

(2018) Jose A. Fernandez-Gallego et al.   Plant Methods

Wheat Ears Counting in Field Conditions Based on Multi-Feature Optimization and TWSVM

(2018) Chengquan Zhou et al.   Frontiers in Plant Science

Ear density estimation from high resolution RGB imagery using deep learning technique

(2018) Simon Madec et al.   AGRICULTURAL AND FOREST METEOROLOGY

The ETH field phenotyping platform FIP: a cable-suspended multi-sensor system

(2017) Norbert Kirchgessner et al.   FUNCTIONAL PLANT BIOLOGY

Field Scanalyzer: An automated robotic field phenotyping platform for detailed crop monitoring

(2017) Nicolas Virlet et al.   FUNCTIONAL PLANT BIOLOGY

Panicle-SEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization

(2017) Xiong Xiong et al.   Plant Methods

Superpixel segmentation: A benchmark

(2017) Murong Wang et al.   SIGNAL PROCESSING-IMAGE COMMUNICATION

An adaptive gamma correction for image enhancement

(2016) Shanto Rahman et al.   EURASIP Journal on Image and Video Processing

Using Deep Learning for Image-Based Plant Disease Detection

(2016) Sharada P. Mohanty et al.   Frontiers in Plant Science

Deep learning in neural networks: An overview

(2015) Jürgen Schmidhuber   NEURAL NETWORKS

SEEDS: Superpixels Extracted Via Energy-Driven Sampling

(2014) Michael Van den Bergh et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

BreedVision — A Multi-Sensor Platform for Non-Destructive Field-Based Phenotyping in Plant Breeding

(2013) Lucas Busemeyer et al.   SENSORS

SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

(2012) R. Achanta et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

In‐fieldTriticum aestivumear counting using colour‐texture image analysis

(2010) F. Cointault et al.   NEW ZEALAND JOURNAL OF CROP AND HORTICULTURAL SCIENCE