Background The natural sciences, such as ecology and earth science, study complex
interactions between biotic and abiotic systems in order to understand and make …

We present a pipeline for the visual localization and classification of agricultural pest insects
by computing a saliency map and applying deep convolutional neural network (DCNN) …

Entomology has had many applications in many biological domains (ie insect counting as a
biodiversity index). To meet a growing biological demand and to compensate a decreasing …

Avec presque 40 000 espèces, les araignées constituent un modèle important pour l'étude
de la vie sociale, des systèmes d'accouplement et du dimorphisme sexuel. Cependant, la …

Where possible, automation has been a common response of humankind to many activities
that have to be repeated numerous times. The routine identification of specimens of …

Agriculture is an essential source of sustenance. In India, this sector has tremendous
opportunities of large-scale employment for villagers. A survey report illustrated the …

We compared the ability of three machine learning algorithms (linear discriminant analysis,
decision tree, and support vector machines) to automate the classification of calls of nine …

Image-based automatic classification of vector mosquitoes has been investigated for
decades for its practical applications such as early detection of potential mosquitoes-borne …

Morphometrics underwent a revolution more than one decade ago. In the modern
morphometrics, the estimate of size is now contained in a single variable reflecting variation …

A new automatic identification system has been designed to identify insect specimen images
at the order level. Several relative features were designed according to the methods of …