Most agricultural land, as a result of climate change, experiences severe stress that significantly reduces agricultural yields. Crop sensing by imaging techniques allows early …
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 …
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 …
High-throughput phenotyping technologies in controlled environments or field conditions have proven to be extremely useful in unravelling key quantitative traits of plants for …
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 …
This paper analyses the contribution of residual network (ResNet) based convolutional neural network (CNN) architecture employed in two tasks related to plant phenotyping …
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 …
Plant modeling can provide a more detailed overview regarding the basis of plant development throughout the life cycle. Three-dimensional processing algorithms are rapidly …
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 …