The developments of information and automation technologies have opened a new era for
weed management to fit physical and chemical control treatments to the spatial and …

Citizen science (CS) currently refers to the participation of non-scientist volunteers in any
discipline of conventional scientific research. Over the last two decades, nature-based CS …

In recent years, many efforts have been made to apply image processing techniques for
plant leaf identification. However, categorizing leaf images at the cultivar/variety level …

Multi-class classification problem is among the most popular and well-studied statistical
frameworks. Modern multi-class datasets can be extremely ambiguous and single-output …

Herbicide application has long been considered the most efficient weed control method in
agricultural production worldwide. However, long-term use of agrochemicals has numerous …

Premise of the Study A species distribution model computed with automatically identified
plant observations was developed and evaluated to contribute to future ecological studies …

Background The sustainable management of agricultural resources requires the integration
of cutting‐edge science with the observation and identification of crops. This assists experts …

A fine-grained plant leaf classification method based on the fusion of deep models is
described. Complementary global and patch-based leaf features are combined at each …

Climate change is not the only threat to biodiversity. Other effects due to growing human
pressure on the land bring much more brutal changes which silently affect the ecosystems …

Phosphorus deficiency is a serious threat to crop production around the globe. Plant species
and even cultivars within species vary greatly in P efficiency. This variation in P efficiency is …