Computer vision is a field that involves making a machine “see”. This technology uses a
camera and computer instead of the human eye to identify, track and measure targets for …

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 …

This paper presents the results of the evaluation of five deep learning architectures for the
classification of soybean pest images. The performance of Inception-v3, Resnet-50, VGG-16 …

Many species of insect pests can be detected and monitored automatically. Several systems
have been designed in order to improve integrated pest management (IPM) in the context of …

Rapid and accurate counting and recognition of flying insects are of great importance,
especially for pest control. Traditional manual identification and counting of flying insects is …

The global economy is now under threat due to the ongoing domestic and international
lockdown for COVID-19. Many have already lost their jobs, and businesses have been …

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 …

In agriculture field, yield loss is a major problem due to attack of various insects in field
crops. Traditional insect identification and classification methods are time-consuming and …

In recent years, precision agriculture has been researched to increase crop production with
less inputs, as a promising means to meet the growing demand of agriculture products …

Highlights•The one-stage deep learning detector was further downsized to run on
embedded devices.•The enhanced detector distinguished RTBs from five bark beetles …