In the early 1990s, Keith Willmott and a friend, both undergraduate students from the United Kingdom, arrived in Ecuador with ...

The Cornell Lab of Ornithology today announced the release of a new online tool for studying biodiversity and the ...

Baobabs are among the most recognizable plants on Earth, yet their biology challenges many assumptions about what a tree is.

Abstract: Over the last two decades, Random forest (RF) has been one of the well-known and most exploited ensemble-based machine learning approaches. It has been used for computer vision, pattern ...

This adorable mini Christmas tree keychain crochet pattern is a festive and charming project perfect for the holiday season. Its small size makes it an ideal handmade gift or a cute accessory to ...

Introduction: Accurate identification of forest tree species is essential for sustainable forest management, biodiversity assessment, and environmental monitoring. Urban forests, in particular, ...

Abstract: The precise identification of financial patterns is crucial for predicting market trend and making trading decisions. However, few AI-empowered studies have considered heterogeneous visual ...

Pollen dispersal by insects determines the patterns of reproductive encounters between plants with flowers that have spatially or temporally segregated sexes. Pollinators exhibit varied responses to ...

Computer vision systems combined with machine learning techniques have demonstrated success as alternatives to empirical methods for classification and selection. This study aimed to classify tomatoes ...

Introduction: The unmanned aerial vehicle -based light detection and ranging (UAV-LiDAR) can quickly acquire the three-dimensional information of large areas of vegetation, and has been widely used in ...

ABSTRACT: The stochastic configuration network (SCN) is an incremental neural network with fast convergence, efficient learning and strong generalization ability, and is widely used in fields such as ...