Rapid online plant leaf area change detection with high-throughput plant image data

Visual Growth Tracking for Automated Leaf Stage Monitoring Based on Image Sequence Analysis

(2021) Srinidhi Bashyam et al.   Remote Sensing

Application of high-throughput plant phenotyping for assessing biophysical traits and drought response in two oak species under controlled environment

(2020) Anastasios Mazis et al.   FOREST ECOLOGY AND MANAGEMENT

A High-Throughput Phenotyping Pipeline for Image Processing and Functional Growth Curve Analysis

(2020) Ronghao Wang et al.   Plant Phenomics

From genome to phenome: genome-wide association studies and other approaches that bridge the genotype to phenotype gap

(2019) Alisdair R. Fernie et al.   PLANT JOURNAL

Leveraging Image Analysis for High-Throughput Plant Phenotyping

(2019) Sruti Das Choudhury et al.   Frontiers in Plant Science

High-Throughput Field-Phenotyping Tools for Plant Breeding and Precision Agriculture

(2019) Aakash Chawade et al.   Agronomy-Basel

Analysis of hyperspectral images for detection of drought stress and recovery in maize plants in a high-throughput phenotyping platform

(2019) Mohd Shahrimie Mohd Asaari et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Big Data? Statistical Process Control Can Help!

(2019) Peihua Qiu   AMERICAN STATISTICIAN

Nonparametric adaptive CUSUM chart for detecting arbitrary distributional changes

(2019) Jun Li   JOURNAL OF QUALITY TECHNOLOGY

High Throughput In vivo Analysis of Plant Leaf Chemical Properties Using Hyperspectral Imaging

(2017) Piyush Pandey et al.   Frontiers in Plant Science

Temporal dynamics of maize plant growth, water use, and leaf water content using automated high throughput RGB and hyperspectral imaging

(2016) Yufeng Ge et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Relative plant growth revisited: Towards a mathematical standardisation of separate approaches

(2016) Arne Pommerening et al.   ECOLOGICAL MODELLING

Nonparametric dynamic screening system for monitoring correlated longitudinal data

(2016) Jun Li et al.   IIE TRANSACTIONS

Machine Learning for High-Throughput Stress Phenotyping in Plants

(2016) Arti Singh et al.   TRENDS IN PLANT SCIENCE

Lights, camera, action: high-throughput plant phenotyping is ready for a close-up

(2015) Noah Fahlgren et al.   CURRENT OPINION IN PLANT BIOLOGY

Detection of early plant stress responses in hyperspectral images

(2014) Jan Behmann et al.   ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING

Yield Trends Are Insufficient to Double Global Crop Production by 2050

(2013) Deepak K. Ray et al.   PLoS One

Early drought stress detection in cereals: simplex volume maximisation for hyperspectral image analysis

(2012) Christoph Römer et al.   FUNCTIONAL PLANT BIOLOGY

Phenomics – technologies to relieve the phenotyping bottleneck

(2011) Robert T. Furbank et al.   TRENDS IN PLANT SCIENCE

Sequential Change-Point Detection When the Pre- and Post-Change Parameters are Unknown

(2010) Tze Leung Lai et al.   Sequential Analysis-Design Methods and Applications

Sequential Change-Point Detection Procedures That are Nearly Optimal and Computationally Simple

(2008) Gary Lorden et al.   Sequential Analysis-Design Methods and Applications