Plant stress is one of the most significant factors affecting plant fitness and, consequently,
food production. However, plant stress may also be profitable since it behaves hormetically; …

Large-scale information on several vegetation properties ('plant traits') is critical to assess
ecosystem functioning, functional diversity and their role in the Earth system. Hyperspectral …

Forest leaf chlorophyll (C ab) and carotenoid (C xc) are key functional indicators for the state
of the forest ecosystem. Current machine learning models based on hyperspectral …

Rapid determination of chlorophyll content is significant for evaluating cotton's nutritional
and physiological status. Hyperspectral technology equipped with multivariate analysis …

The contents of photosynthetic pigment, which directly affect the growth of crops, could be
evaluated with spectral and multispectral imaging technologies in an accurate and rapid …

Water scarcity is one of the most significant environmental factors that inhibits
photosynthesis and decreases the growth and productivity of plants. Using the deep …

Traditional leaf chlorophyll estimation using Soil Plant Analysis Development (SPAD)
devices and spectrophotometers is a high-cost mechanism in agriculture. Recently, research …

The determination of physicochemical properties of crude oils is a very important and time‐
intensive process that needs elaborate laboratory procedures. Over the last few decades …

The concentration of anthocyanins in common beans indicates their nutritional value.
Understanding this concentration makes it possible to identify the functional compounds …

Rapid assessment of plant photosynthetic pigments content is an essential issue in precise
management farming. Such an assessment can represent the status of plants in their stages …