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 …

Current rates of species loss triggered numerous attempts to protect and conserve
biodiversity. Species conservation, however, requires species identification skills, a …

The remarkable progress in algorithms for machine and deep learning have opened the
doors to new opportunities, and some dark possibilities. However, a bright future awaits …

True fungi (Fungi) and fungus-like organisms (eg Mycetozoa, Oomycota) constitute the
second largest group of organisms based on global richness estimates, with around 3 …

It is desirable for detection and classification algorithms to generalize to unfamiliar
environments, but suitable benchmarks for quantitatively studying this phenomenon are not …

Existing image classification datasets used in computer vision tend to have a uniform
distribution of images across object categories. In contrast, the natural world is heavily …

Intelligence has been considered as the major challenge in promoting economic potential
and production efficiency of precision agriculture. In order to apply advanced deep-learning …

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 …

The presented approach demonstrates an automated way of crop disease identification on
various leaf sample images corresponding to different crop species employing Local Binary …

While 3D object representations are being revived in the context of multi-view object class
detection and scene understanding, they have not yet attained wide-spread use in fine …