Ulva Lactuca, commonly known as sea lettuce, is a green seaweed species that has
attracted significant attention due to its remarkable potential as a prolific source of bioactive …

Leaf optical properties can be used to identify environmental conditions, the effect of light
intensities, plant hormone levels, pigment concentrations, and cellular structures. However …

Reflectance spectroscopy, in combination with machine learning and artificial intelligence
algorithms, is an effective method for classifying and predicting pigments and phenoty** in …

Photosynthesis is a key process in plant physiology. Understanding its mechanisms is
crucial for optimizing crop yields and for environmental monitoring across a diverse range of …

In this study, we investigated the use of artificial intelligence algorithms (AIAs) in
combination with VIS-NIR-SWIR hyperspectroscopy for the classification of eleven lettuce …

The combination of machine learning and infrared spectroscopy was reported as effective
for fast characterization of biomass and waste (BW). However, this characterization process …

Hyperspectral technology offers significant potential for non-invasive monitoring and
prediction of morphological parameters in plants. In this study, UV− VIS− NIR− SWIR …

Strawberry cultivars Portola and Enduro, as well as raspberry cultivars Enrosadira and
Kwazi, were evaluated for their antioxidant potential after treatment with gaseous ozone and …

Simple Summary This study investigates the spatial analysis of morphological and chemical
changes and how reflectance hyperspectroscopy and fluorescence kinetics spectroscopy …

The Atlantic forest is one of the world's major tropical biomes due to its rich biodiversity. Its
vast diversity of plant species poses challenges in floristic surveys. Fourier transform infrared …