Chlorophyll a fluorescence induction: Can just a one-second measurement be used to quantify abiotic stress responses?

A Stirbet, D Lazár, J Kromdijk, Govindjee - Photosynthetica, 2018 - Springer
Chlorophyll (Chl) a fluorescence induction (transient), measured by exposing dark-adapted
samples to high light, shows a polyphasic rise, which has been the subject of extensive …

Early-stage detection of biotic and abiotic stress on plants by chlorophyll fluorescence imaging analysis

J Moustaka, M Moustakas - Biosensors, 2023 - mdpi.com
Most agricultural land, as a result of climate change, experiences severe stress that
significantly reduces agricultural yields. Crop sensing by imaging techniques allows early …

Robotic technologies for high-throughput plant phenotyping: Contemporary reviews and future perspectives

A Atefi, Y Ge, S Pitla, J Schnable - Frontiers in plant science, 2021 - frontiersin.org
Phenotyping plants is an essential component of any effort to develop new crop varieties. As
plant breeders seek to increase crop productivity and produce more food for the future, the …

High-throughput plant phenotyping for developing novel biostimulants: from lab to field or from field to lab?

Y Rouphael, L Spíchal, K Panzarová, R Casa… - Frontiers in plant …, 2018 - frontiersin.org
Plant biostimulants which include bioactive substances (humic acids, protein hydrolysates
and seaweed extracts) and microorganisms (mycorrhizal fungi and plant growth promoting …

Hyperspectral imaging and 3D technologies for plant phenotyping: From satellite to close-range sensing

H Liu, B Bruning, T Garnett, B Berger - Computers and Electronics in …, 2020 - Elsevier
High-throughput phenotyping technologies in controlled environments or field conditions
have proven to be extremely useful in unravelling key quantitative traits of plants for …

High throughput procedure utilising chlorophyll fluorescence imaging to phenotype dynamic photosynthesis and photoprotection in leaves under controlled gaseous …

L McAusland, JA Atkinson, T Lawson, EH Murchie - Plant methods, 2019 - Springer
Background As yields of major crops such as wheat (T. aestivum) have begun to plateau in
recent years, there is growing pressure to efficiently phenotype large populations for traits …

Artificial intelligence in smart farms: plant phenotyping for species recognition and health condition identification using deep learning

AJ Hati, RR Singh - AI, 2021 - mdpi.com
This paper analyses the contribution of residual network (ResNet) based convolutional
neural network (CNN) architecture employed in two tasks related to plant phenotyping …

[HTML][HTML] AllInOne Pre-processing: A comprehensive preprocessing framework in plant field phenotyping

MY Najafabadi, A Heidari, I Rajcan - SoftwareX, 2023 - Elsevier
AllInOne Pre-processing is an innovative open-source, R-Shiny user interface package
designed to facilitate the swift and effective preprocessing of plant phenotypic data. AllInOne …

Low-cost three-dimensional modeling of crop plants

J Martinez-Guanter, Á Ribeiro, GG Peteinatos… - Sensors, 2019 - mdpi.com
Plant modeling can provide a more detailed overview regarding the basis of plant
development throughout the life cycle. Three-dimensional processing algorithms are rapidly …

Water deficit index to evaluate water stress status and drought tolerance of rainfed barley genotypes in cold semi-arid area of Iran

V Feiziasl, J Jafarzadeh, B Sadeghzadeh… - Agricultural Water …, 2022 - Elsevier
Drought and heat are major stresses that adversely affect crop production in arid and semi-
arid regions. This study assessed the water stress status of rainfed barley genotypes and …