In an effort to catalog insect biodiversity, we propose a new large dataset of hand-labelled
insect images, the BIOSCAN-1M Insect Dataset. Each record is taxonomically classified by …

Pests are always the main source of field damage and severe crop output losses in
agriculture. Currently, manually classifying and counting pests is time consuming, and …

Corp protection against pests is known to play a crucial role in developing efficient crop
management strategies for Precision Agriculture. A recent estimation by Food and …

Tomato crop yield can be negatively impacted by various diseases and pests. The
application of computer vision to diagnose tomato diseases and pests presents two …

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 …

Simple Summary The larvae of Lepidoptera pests are polyphagous insects that can cause
crop mortality and severely damage crop growth, but the manual detection of such pests is a …

The safety and reliability of autonomous driving depends on the precision and efficiency of
object detection systems. In this paper, a refined adaptation of the YOLO architecture (WGS …

Pest species recognition suffers from the problems of easy loss of small targets, dense pest
distribution, and low individual recognition rate. To improve the efficiency of pest monitoring …

The contribution of wild pollinators and input-based management practices during
production of underutilized crop such as okra are pivotal for enhancing sustainable food …

Accurate and reliable crop type identification from satellite images provides a foundation for
crop yield predictions which paves the way to help ensure food security. Most of the work …