Artificial intelligence is more present than ever in virtually all sectors of society. This is in
large part due to the development of increasingly powerful deep learning models capable of …

BACKGROUND The polyphagous mirid bug Apolygus lucorum (Meyer‐Dür) and the green
leafhopper Empoasca spp. Walsh are small pests that are widely distributed and important …

The maize crop is highly susceptible to damage caused by its primary pests, which poses
considerable challenges in manually identifying and controlling them at various larval …

Efficient soybean mapping is critical for agricultural production and yield prediction.
However, current sample-driven soybean mapping methods heavily rely on large …

Rapid technological advances and growing participation from amateur naturalists have
made countless images of insects in their natural habitats available on global web portals …

In this work, we evaluated the You Only Look Once (YOLO) architecture for real-time
detection of soybean pests. We collected images of the soybean plantation in different days …

Accurate crop damage classification is crucial for timely interventions, loss reduction, and
resource optimization in agriculture. However, datasets and models for binary classification …

Many pests change their appearance color to seamlessly blend with the surrounding
environment in agricultural ecosystems, thereby rendering themselves virtually invisible …

Predation or kill rate of biological control agents is often used as a proxy to evaluate the
efficacy of different species of natural enemies and under different conditions. For generalist …

为了解决目标检测区域中冗余信息过多导致无法准确检测大豆分枝的缺陷,
同时快速获取大豆植株表型参数, 该研究提出了一种基于Re-YOLOv5 和检测区域搜索算法的 …