Insect pest is one of the main causes affecting agricultural crop yield and quality all over the
world. Rapid and reliable insect pest monitoring plays a crucial role in population prediction …

The monitoring of pests in the field or lab experiments allows to identify the variation of
infection levels and to enhance the development of integrated pest management programs …

Pest infestation is a major cause of crop damage and lost revenues worldwide. Automatic
identification of invasive insects would significantly speed up the recognition of pests and …

Plantain tree is the most popular crop grown all over the world and banana (Musa spp.) is
the most marketable fruit. It is the leading food in many countries, especially in developing …

Context Sticky trap catches of agricultural pests can be employed for early hotspot detection,
identification, and estimation of pest presence in greenhouses or in the field. However …

Advances in artificial intelligence, computer vision, and high-performance computing have
enabled the creation of efficient solutions to monitor pests and identify plant diseases. In this …

针对黄板诱捕的害虫体积小, 数量多和分布不均匀, 难以进行害虫识别的问题,
引入当前主流目标检测模型Faster R CNN 对黄板上的小菜蛾, 黄曲条跳甲和烟粉虱等主要害虫 …

Simple Summary Simple Summary: Accurately counting the number of insect pests from
digital images captured on yellow sticky traps remains a challenge in the field of insect pest …

Modern and precision agriculture is constantly evolving, and the use of technology has
become a critical factor in improving crop yields and protecting plants from harmful insects …

Detecting the frequency of the pest occurrence is always a time consuming and laborious
task for agriculture. This paper attempts to solve the problem through the combination of …