Building and updating tree inventories is a challenging task for city administrators, requiring significant costs the expertise of identification specialists. In Ecuador, only Trees Inventory Cuenca (TIC) contains this information, geolocated integrated with taxonomy, origin, leaf, crown structure, phenological problems, images taken smartphones each tree. From dataset, we selected fourteen cla...

The identification of tree species is great significance to the sustainable management and utilization forest ecosystems. Hyperspectral data provide sufficient spectral spatial information classify species. Convolutional neural networks (CNN) have achieved success in hyperspectral image (HSI) classification. outstanding performance CNN HSI classification relies on training samples. However, it’...

Ecological interactions between yucca moths (Tegeticula, Prodoxidae) and their host plants (Yucca, Agavaceae) are exemplary of obligate plant-pollinator mutualism and co-evolution. We describe a multiplex microsatellite DNA protocol for species identification and sibship assignment of sympatric larvae from Tegeticula synthetica and Tegeticula antithetica, pollinators of the Joshua tree (Yucca b...

To fully mine information regarding differences among various tree species from remote sensing data and improve the accuracy of recognition, this study utilized spectral reflection value, wavelength, time as parameters employed three algorithms to create an expression for volume index (SVI). Then, were obtained by applying RedEdge-MX four phases, SVI features extracted, a mixed feature set band...

This working note describes methods to automatically identify a large number of different bird species by their songs and calls. It focuses primarily on new techniques introduced for this year’s task like advanced spectrogram segmentation and decision tree based feature selection during training. Considering the identification of dominant species, previous results of the LifeCLEF Bird Identific...

Prior work on plant species classification predominantly focuses building models from isolated attributes. Hence, there is a need for tools that can assist in identification the natural world. We present novel and robust two-fold approach capable of identifying trees real-world setting. Additionally, we leverage unlabelled data through deep semi-supervised learning demonstrate superior performa...

background: mycoplasmas can cause acute and chronic diseases at multiple sites with wide-range complications and have been implicated as cofactors in diseases. the infections influenced form genital mycoplasmas specifically mycoplasma hominis and mycoplasma genitalium potentially affect reproductive disorders, and infertility. objective: isolation and molecular identification of mycoplasma geni...