A real-time phenotyping framework using machine learning for plant stress severity rating in soybean

Deploying Fourier Coefficients to Unravel Soybean Canopy Diversity

(2017) Talukder Z. Jubery et al.   Frontiers in Plant Science

Sirtinol promotes PEPCK1 degradation and inhibits gluconeogenesis by inhibiting deacetylase SIRT2

(2017) Mingming Zhang et al.   Scientific Reports

Machine Learning for High-Throughput Stress Phenotyping in Plants

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

Hyperspectral and Thermal Imaging of Oilseed Rape (Brassica napus) Response to Fungal Species of the Genus Alternaria

(2015) Piotr Baranowski et al.   PLoS One

Identification of candidate genes involved in early iron deficiency chlorosis signaling in soybean (Glycine max) roots and leaves

(2014) Adrienne N Moran Lauter et al.   BMC GENOMICS

Pixel classification methods for identifying and quantifying leaf surface injury from digital images

(2014) Ole Mathis Opstad Kruse et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE

Dissecting the Phenotypic Components of Crop Plant Growth and Drought Responses Based on High-Throughput Image Analysis

(2014) Dijun Chen et al.   PLANT CELL

Automatic Detection of Regions in Spinach Canopies Responding to Soil Moisture Deficit Using Combined Visible and Thermal Imagery

(2014) Shan-e-Ahmed Raza et al.   PLoS One

Genome-Wide Association Studies Identifies Seven Major Regions Responsible for Iron Deficiency Chlorosis in Soybean (Glycine max)

(2014) Sujan Mamidi 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

A high throughput robot system for machine vision based plant phenotype studies

(2012) Ram Subramanian et al.   MACHINE VISION AND APPLICATIONS

Identification of Candidate Genes Underlying an Iron Efficiency Quantitative Trait Locus in Soybean

(2012) G. A. Peiffer et al.   PLANT PHYSIOLOGY

A review of advanced techniques for detecting plant diseases

(2010) Sindhuja Sankaran et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE