Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning

Monitoring the Foliar Nutrients Status of Mango Using Spectroscopy-Based Spectral Indices and PLSR-Combined Machine Learning Models

(2021) Gopal Ramdas Mahajan et al.   Remote Sensing

Photons to Food: Genetic improvement of cereal crop photosynthesis

(2020) Robert T Furbank et al.   JOURNAL OF EXPERIMENTAL BOTANY

Evaluation of different water absorption bands, indices and multivariate models for water-deficit stress monitoring in rice using visible-near infrared spectroscopy

(2020) Bappa Das et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Effect of leaf temperature on the estimation of photosynthetic and other traits of wheat leaves from hyperspectral reflectance

(2020) Hammad A Khan et al.   JOURNAL OF EXPERIMENTAL BOTANY

Predicting dark respiration rates of wheat leaves from hyperspectral reflectance

(2019) Onoriode Coast et al.   PLANT CELL AND ENVIRONMENT

Field crop phenomics: enabling breeding for radiation use efficiency and biomass in cereal crops

(2019) Robert T. Furbank et al.   NEW PHYTOLOGIST

High-throughput field phenotyping using hyperspectral reflectance and partial least squares regression (PLSR) reveals genetic modifications to photosynthetic capacity

(2019) Katherine Meacham-Hensold et al.   REMOTE SENSING OF ENVIRONMENT

TA-CNN: Two-way attention models in deep convolutional neural network for plant recognition

(2019) Youxiang Zhu et al.   NEUROCOMPUTING

Genetic variation for photosynthetic capacity and efficiency in spring wheat

(2019) Viridiana Silva-Pérez et al.   JOURNAL OF EXPERIMENTAL BOTANY

Hyperspectral Leaf Reflectance as Proxy for Photosynthetic Capacities: An Ensemble Approach Based on Multiple Machine Learning Algorithms

(2019) Peng Fu et al.   Frontiers in Plant Science

A Deep Learning-Based Approach for High-Throughput Hypocotyl Phenotyping

(2019) Orsolya Dobos et al.   PLANT PHYSIOLOGY

Hyperspectral imaging combined with machine learning as a tool to obtain high‐throughput plant salt‐stress phenotyping

(2019) Xuping Feng et al.   PLANT JOURNAL

Spectroscopy based novel spectral indices, PCA- and PLSR-coupled machine learning models for salinity stress phenotyping of rice

(2019) Bappa Das et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Development of an in vitro pre-mRNA splicing assay using plant nuclear extract

(2018) Mohammed Albaqami et al.   Plant Methods

Quantitative monitoring of sucrose, reducing sugar and total sugar dynamics for phenotyping of water-deficit stress tolerance in rice through spectroscopy and chemometrics

(2018) Bappa Das et al.   SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY

Hyperspectral reflectance as a tool to measure biochemical and physiological traits in wheat

(2017) Viridiana Silva-Perez et al.   JOURNAL OF EXPERIMENTAL BOTANY

Biochemical model of C3 photosynthesis applied to wheat at different temperatures

(2017) Viridiana Silva-Pérez et al.   PLANT CELL AND ENVIRONMENT

Deep Plant Phenomics: A Deep Learning Platform for Complex Plant Phenotyping Tasks

(2017) Jordan R. Ubbens et al.   Frontiers in Plant Science

High-Throughput Phenotyping of Maize Leaf Physiological and Biochemical Traits Using Hyperspectral Reflectance

(2016) Craig R. Yendrek et al.   PLANT PHYSIOLOGY

Imaging spectroscopy algorithms for mapping canopy foliar chemical and morphological traits and their uncertainties

(2015) Aditya Singh et al.   ECOLOGICAL APPLICATIONS

Deep learning

(2015) Yann LeCun et al.   NATURE

Using leaf optical properties to detect ozone effects on foliar biochemistry

(2013) Elizabeth A. Ainsworth et al.   PHOTOSYNTHESIS RESEARCH

Leaf optical properties reflect variation in photosynthetic metabolism and its sensitivity to temperature

(2011) Shawn P. Serbin et al.   JOURNAL OF EXPERIMENTAL BOTANY

Global food demand and the sustainable intensification of agriculture

(2011) D. Tilman et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Raising yield potential of wheat. II. Increasing photosynthetic capacity and efficiency

(2010) M. A. J. Parry et al.   JOURNAL OF EXPERIMENTAL BOTANY