Optical technologies can be developed as practical tools for monitoring plant health by
providing unique spectral signatures that can be related to specific plant stresses …

Automated visual assessment of plant condition, specifically foliage wilting, reflectance and
growth parameters, using machine vision has potential use as input for real-time variable …

Plant health and physiological status significantly influence chlorophyll content and
photosynthetic capacity. Analysis of leaf reflectance information from digitized leaf images …

The chlorophyll content (or SPAD meter) is a simple, portable diagnostic tool that measures
the greenness or relative chlorophyll content of leaves. Compared with the traditional …

Changes in the color of the first three leaves of faba bean (Vicia faba L.), pea (Pisum sativum
L.) and yellow lupine (Lupinus luteus L.) plants were analyzed under conditions of nitrogen …

In order to investigate the effectiveness of a new method based on color image analysis and
the Minolta SPAD-502 chlorophyll meter for the diagnosis of nitrogen deficiencies of tomato …

Here, we test the feasibility of using two colour indices to assess differences in stand-health
metrics in 54 plots of lodgepole pine in British Columbia, Canada. Colour indices of excess …

At present, the identifying of rice nitrogen stress by the chemical analysis is time-consuming
and laborious. Machine vision technology can be used to non-destructively and rapidly …

Phytodiagnostic tools are aimed at the early detection of plant and/or crop stress conditions,
with a view to assisting farmers to timely intervene in order to prevent or limit plant damage …

A QTL analysis for iron-toxicity tolerance was conducted in rice. Bronzing scores, which are
regarded as an index of sensitivity to iron toxicity, were converted to digital data via a …