Apple is one of the most important economic fruit crops in the world. Despite all the
strategies of integrated pest management (IPM), insecticides are still frequently used in its …

Deep learning is a cutting-edge image processing method that is still relatively new but
produces reliable results. Leaf disease detection and categorization employ a variety of …

Frequent outbreaks of agricultural pests can reduce crop production severely and restrict
agricultural production. Therefore, automatic monitoring and precise recognition of crop …

Insect pests pose a significant and increasing threat to agricultural production worldwide.
However, most existing recognition methods are built upon well-known convolutional neural …

Purpose: A deep learning-based intelligent system has been developed for the identification
and detection of high-density small target pests with the aim of addressing the limitations …

Pest detection aims to locate and classify the pests that may be present in the image, which
plays a crucial role in the early warning of pests linked to the agriculture industry. However …

The most important elements in the realm of commercial food standards are effective pest
management and control. Crop pests can make a huge impact on crop quality and …

The pest and insect affected crop is an important concern to cause damage to the
agricultural sector. While identifying the pest in the crop, the camera placement is not …

The real-time target detection of crop pests can help detect and control pests in time. In this
study, we built a lightweight agricultural pest identification method based on modified …

Highlights•Domain specific dataset for aphid counting in the field.•This dataset may have
high application value in practical aphid monitoring.•Propose a multi-branch convolutional …