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

High-throughput phenotyping platforms enhance genomic selection for wheat grain yield across populations and cycles in early stage

(2019) Jin Sun et al.   THEORETICAL AND APPLIED GENETICS

The use of infrared thermal imaging as a non-destructive screening tool for identifying drought-tolerant lentil genotypes

(2018) Sajitha Biju et al.   PLANT PHYSIOLOGY AND BIOCHEMISTRY

Onion biomass monitoring using UAV-based RGB imaging

(2018) Rocio Ballesteros et al.   PRECISION AGRICULTURE

An explainable deep machine vision framework for plant stress phenotyping

(2018) Sambuddha Ghosal et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

Non-destructive Determination of Shikimic Acid Concentration in Transgenic Maize Exhibiting Glyphosate Tolerance Using Chlorophyll Fluorescence and Hyperspectral Imaging

(2018) Xuping Feng et al.   Frontiers in Plant Science

Predicting plant biomass accumulation from image-derived parameters

(2018) Dijun Chen et al.   GigaScience

Pheno-Deep Counter: a unified and versatile deep learning architecture for leaf counting

(2018) Mario Valerio Giuffrida et al.   PLANT JOURNAL

Deep Learning for Plant Stress Phenotyping: Trends and Future Perspectives

(2018) Asheesh Kumar Singh et al.   TRENDS IN PLANT SCIENCE

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

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

Machine Learning Techniques for Predicting Crop Photosynthetic Capacity from Leaf Reflectance Spectra

(2017) David Heckmann et al.   Molecular Plant

A High-Throughput, Field-Based Phenotyping Technology for Tall Biomass Crops

(2017) Maria G. Salas Fernandez et al.   PLANT PHYSIOLOGY

A Robust Deep-Learning-Based Detector for Real-Time Tomato Plant Diseases and Pests Recognition

(2017) Alvaro Fuentes et al.   SENSORS

Deep machine learning provides state-of-the-art performance in image-based plant phenotyping

(2017) Michael P. Pound et al.   GigaScience

Evaluating physiological responses of plants to salinity stress

(2016) S. Negrão et al.   ANNALS OF BOTANY

Remote estimation of canopy height and aboveground biomass of maize using high-resolution stereo images from a low-cost unmanned aerial vehicle system

(2016) Wang Li et al.   ECOLOGICAL INDICATORS

High-throughput estimation of incident light, light interception and radiation-use efficiency of thousands of plants in a phenotyping platform

(2016) Llorenç Cabrera-Bosquet et al.   NEW PHYTOLOGIST

Finely-grained annotated datasets for image-based plant phenotyping

(2016) Massimo Minervini et al.   PATTERN RECOGNITION LETTERS

Machine Learning for Plant Phenotyping Needs Image Processing

(2016) Sotirios A. Tsaftaris et al.   TRENDS IN PLANT SCIENCE

Leaf segmentation in plant phenotyping: a collation study

(2015) Hanno Scharr et al.   MACHINE VISION AND APPLICATIONS

Nondestructive and intuitive determination of circadian chlorophyll rhythms in soybean leaves using multispectral imaging

(2015) Wen-Juan Pan et al.   Scientific Reports

Soil salinity: A serious environmental issue and plant growth promoting bacteria as one of the tools for its alleviation

(2015) Pooja Shrivastava et al.   SAUDI JOURNAL OF BIOLOGICAL SCIENCES

Simultaneous determination of Se, trace elements and major elements in Se-rich rice by dynamic reaction cell inductively coupled plasma mass spectrometry (DRC-ICP-MS) after microwave digestion

(2014) Yi Hua Wei et al.   FOOD CHEMISTRY

Integrated Analysis Platform: An Open-Source Information System for High-Throughput Plant Phenotyping

(2014) C. Klukas et al.   PLANT PHYSIOLOGY

Development and evaluation of a field-based high-throughput phenotyping platform

(2013) Pedro Andrade-Sanchez et al.   FUNCTIONAL PLANT BIOLOGY

Prediction of Soluble Solids in Oranges Using Visible/Near-Infrared Spectroscopy: Effect of Peel

(2013) Bahareh Jamshidi et al.   INTERNATIONAL JOURNAL OF FOOD PROPERTIES

Accurate inference of shoot biomass from high-throughput images of cereal plants

(2011) Mahmood R Golzarian et al.   Plant Methods

Hyperspectral remote sensing of salinity stress on red (Rhizophora mangle) and white (Laguncularia racemosa) mangroves on Galapagos Islands

(2011) Conghe Song et al.   Remote Sensing Letters

Early detection and classification of plant diseases with Support Vector Machines based on hyperspectral reflectance

(2010) T. Rumpf et al.   COMPUTERS AND ELECTRONICS IN AGRICULTURE