A non-destructive testing method for early detection of ginseng root diseases using machine learning technologies based on leaf hyperspectral reflectance. [PDF]
Front Plant Sci, 2022 Ginseng is an important medicinal plant benefiting human health for thousands of years. Root disease is the main cause of ginseng yield loss. It is difficult to detect ginseng root disease by manual observation on the changes of leaves, as it takes a ...
Zhao G +10 more
europepmc +2 more sources
Wheat physiology predictor: predicting physiological traits in wheat from hyperspectral reflectance measurements using deep learning. [PDF]
Plant Methods, 2021 The need for rapid in-field measurement of key traits contributing to yield over many thousands of genotypes is a major roadblock in crop breeding. Recently, leaf hyperspectral reflectance data has been used to train machine learning models using partial
Furbank RT +9 more
europepmc +2 more sources
Genome‐wide association analysis of hyperspectral reflectance data to dissect the genetic architecture of growth‐related traits in maize under plant growth‐promoting bacteria inoculation [PDF]
Plant Direct, 2023 Plant growth‐promoting bacteria (PGPB) may be of use for increasing crop yield and plant resilience to biotic and abiotic stressors. Using hyperspectral reflectance data to assess growth‐related traits may shed light on the underlying genetics as such ...
Rafael Massahiro Yassue +4 more
doaj +2 more sources
High-Throughput Analysis of Leaf Chlorophyll Content in Aquaponically Grown Lettuce Using Hyperspectral Reflectance and RGB Images. [PDF]
Plants (Basel)Chlorophyll content reflects plants’ photosynthetic capacity, growth stage, and nitrogen status and is, therefore, of significant importance in precision agriculture.
Taha MF +9 more
europepmc +2 more sources
Assessing Drought and Heat Stress-Induced Changes in the Cotton Leaf Metabolome and Their Relationship With Hyperspectral Reflectance. [PDF]
Front Plant Sci, 2021 The study of phenotypes that reveal mechanisms of adaptation to drought and heat stress is crucial for the development of climate resilient crops in the face of climate uncertainty.
Melandri G +5 more
europepmc +2 more sources
G3: Genes, Genomes, Genetics, 2019 Hyperspectral reflectance phenotyping and genomic selection are two emerging technologies that have the potential to increase plant breeding efficiency by improving prediction accuracy for grain yield.
Michael A Gore +2 more
exaly +3 more sources
Hyperspectral Reflectance Characteristics of Cyanobacteria
Advances in Remote Sensing, 2021 Potentially harmful cyanobacterial blooms are an emerging environmental concern in freshwater bodies worldwide. Cyanobacterial blooms are generally caused by high nutrient inputs and warm, still waters and have been appearing with increasing frequency
Terrence Slonecker +6 more
semanticscholar +3 more sources
Identification of Metal Stresses in Arabidopsis thaliana Using Hyperspectral Reflectance Imaging. [PDF]
Front Plant Sci, 2021 Industrial accidents, such as the Fukushima and Chernobyl disasters, release harmful chemicals into the environment, covering large geographical areas.
Ruffing AM +4 more
europepmc +2 more sources
Detection of Cracks on Tomatoes Using a Hyperspectral Near-Infrared Reflectance Imaging System
Sensors, 2014 The objective of this study was to evaluate the use of hyperspectral near-infrared (NIR) reflectance imaging techniques for detecting cuticle cracks on tomatoes.
Hoonsoo Lee +2 more
exaly +3 more sources
Quantitative Hyperspectral Reflectance Imaging [PDF]
Sensors, 2008 Hyperspectral imaging is a non-destructive optical analysis technique that can for instance be used to obtain information from cultural heritage objects unavailable with conventional colour or multi-spectral photography.
Ted A.G. Steemers +4 more
doaj +3 more sources