Leaf chlorophyll content provides valuable information about physiological status of plants; it
is directly linked to photosynthetic potential and primary production. In vitro assessment by …

This study evaluated the application of proximal multispectral images accompanied by 4
machine learning approaches for estimating the nutritional status of oil palm leaves. The …

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

Approaches for remote sensing can be used to estimate the influence of changes in
environmental conditions on terrestrial plants, providing timely protection of their growth …

Rice blast (RB) and Brown spot (BS) are economically important diseases in rice that cause
greater yield losses annually. Both share the same host and produce quite similar lesions …

The color of plant leaves can be assessed qualitatively by color charts or after processing of
digital images. This pilot study employed a novel pocket-sized sensor to obtain the color of …

Remote sensing images often suffer from color distortion, which can pose significant
challenges for accurate data interpretation. To overcome this issue, this study developed a …

Background Image processing techniques have been widely used in the analysis of leaf
characteristics. Earlier techniques for processing digital RGB color images of plant leaves …

Nanotechnology has developed materials that can increase food production while reducing
the use of conventional fertilizers. In this study, the effect of two forms of application (foliar …

In the present paper, new environmental-friendly fertilizer components were produced in
biosorption process by the enrichment of the biomass with zinc, essential in plant cultivation …