Digital farming approach merges new technologies and sensor data to optimize the quality
of crop monitoring in agriculture. The successful fusion of technology and data is highly …

The use of satellite-based Remote Sensing (RS) is a well-developed field of research. RS
techniques have been successfully utilized to evaluate the chlorophyll content for the …

In this work, a pH-responsive pesticide delivery system using mesoporous silica
nanoparticles (MSNs) as the porous carriers and coordination complexes of Cu ions and …

Leaf chlorophyll content (LCC) is an indicator of leaf photosynthetic capacity. It is crucial for
improving the understanding of plant physiological status. SPAD meters are routinely used …

Chlorophyll meters enable efficient and non-destructive estimation of leaf chlorophyll
concentration (LCC), but require calibration against destructively-determined values to …

Chlorophyll meters are portable devices used to assess and improve plants' nitrogen
management and to help farmers in the determination of the health condition of plants …

Real-time and non-destructive nitrogen (N) status diagnosis is needed to support in-season
N management decision-making for modern wheat production. For this purpose, satellite …

Nitrogen balance index (NBI) is an important indicator for scientific diagnostic and
quantitative research on crop growth status. The quick and accurate assessment of NBI is …

Monitoring leaf Chlorophyll (Chl) in-situ is labor-intensive, limiting representative sampling
for detailed mapping of Chl variability at field scales across time. Unmanned aeria-l vehicles …

Hyperspectral images collected by unmanned aerial vehicles (UAVs) can provide fine,
narrowband spectral information and help realize the accurate estimation of physiological …