In recent years, deep learning (DL), a rebranding of neural networks (NNs), has risen to the
top in numerous areas, namely computer vision (CV), speech recognition, and natural …

Species knowledge is essential for protecting biodiversity. The identification of plants by
conventional keys is complex, time consuming, and due to the use of specific botanical …

Robotic weed control has seen increased research of late with its potential for boosting
productivity in agriculture. Majority of works focus on developing robotics for croplands …

We use deep convolutional neural networks to identify the plant species captured in a
photograph and evaluate different factors affecting the performance of these networks. Three …

Plant identification systems developed by computer vision researchers have helped
botanists to recognize and identify unknown plant species more rapidly. Hitherto, numerous …

Fish species recognition is crucial to identifying the abundance of fish species in a specific
area, controlling production management, and monitoring the ecosystem, especially …

The automatic detection and identification of fish from underwater videos is of great
significance for fishery resource assessment and ecological environment monitoring …

Identifying and counting fish individuals on photos and videos is a crucial task to cost-
effectively monitor marine biodiversity, yet it remains difficult and time-consuming. In this …

Background Hundreds of herbarium collections have accumulated a valuable heritage and
knowledge of plants over several centuries. Recent initiatives started ambitious preservation …

Most recently, deep learning-based visual detection has attracted rapidly increasing
attention paid to marine organisms, thereby expecting to significantly benefit ocean ecology …