Accurate identification and estimation of the population densities of microscopic, soil-
dwelling plant-parasitic nematodes (PPNs) are essential, as PPNs cause significant …

The widespread of Pomacea canaliculata, a new “killer” in rice fields, may threaten the
productivity and quality of rice. Therefore, keeping an eye on it is crucial for food security …

Roots are essential for acquiring water and nutrients to sustain and support plant growth and
anchorage. However, they have been studied less than the aboveground traits in …

Root-knot nematodes (RKN) are microscopic plant parasites that cause significant economic
damage to crops and vegetables. Accurate assessment of RKN populations is required for …

The sweetpotato breeding process involves assessing different phenotypic traits, such as
the sensory attributes, to decide which varieties to progress to the next stage during the …

Strawberry crops are susceptible to a wide range of pests and diseases, some of which are
insidious and diverse due to the shortness of strawberry plants, and they pose significant …

Research on lung cancer automatic detection using deep learning algorithms has achieved
good results but, due to the complexity of tumor edge features and possible changes in …

The latest advances in deep learning technology make it possible to recognize vegetable
diseases from leaf images. The existing disease recognition methods based on computer …

There is an increasing demand for efficient and precise plant disease detection methods that
can quickly identify disease outbreaks. For this, researchers have developed various …

The accurate identification of crop aphids is an important aspect of improving agricultural
productivity. Aphids are characterised by small targets and a body colour similar to their …