This paper focuses on predicting predawn leaf water potential through a self-learning
artificial intelligence (SL-AI) algorithm, a novel spectral processing algorithm that is based …

Sodic soils adversely affect crop production over extensive areas of rain-fed cropping
worldwide, with particularly large areas in Australia. Crop phenotyping may assist in …

According to modern precision agriculture principles, remote and proximal sensing can be
extraordinarily useful tools for sustainable water resource management in viticulture. More …

In viticulture, information about vine vigour is a key input for decision-making in connection
with production targets. Pruning weight (PW), a quantitative variable used as indicator of …

This study explores spectroscopy in the 350 to 2500 nm range for detecting powdery mildew
(Erysiphe necator) in grapevine leaves, crucial for precision agriculture and sustainable …

Monitoring and management of plant water status over the critical period between flowering
and veraison, plays a significant role in producing grapes of premium quality. Hyperspectral …

Predawn leaf water potential (Ψ pd) is widely used to assess plant water status. Also,
pigments concentration work as proxy of canopy's water status. Spectral data methods have …

Water management and irrigation practices are persistent challenges for many agricultural
systems, exacerbated by changing seasonal and weather patterns. The wild blueberry …

Nowadays, nutritional foods have a great impact on healthy diets. In particular, maca,
oatmeal, broad bean, soybean, and algarrobo are widely used in different ways in the daily …

Distinct data pre-processing techniques affect features derived from spectral data, such as
the occurrence of phylogenetic signals in the foliar spectra. This study investigates how …