Optimizing Convolutional Neural Networks for Identifying Invasive Pollinator Apis Mellifera and Finding a Ligand drug to Protect California's Biodiversity

arXiv:2404.03870v1 Announce Type: new
Abstract: In North America, there are many diverse species of native bees crucial for the environment, who are the primary pollinators of most native floral species. The Californian agriculture industry imports European honeybees (Apis Mellifera) primarily for pollinating almonds. Unfortunately, this has resulted in the unintended consequence of disrupting the native ecosystem and threatening many native bee species as they are outcompeted for food. Our first step for protecting the native species is identification with the …

abstract agriculture america apis arxiv bees biodiversity california convolutional neural networks cs.lg diverse environment industry networks neural networks north america protect q-bio.bm q-bio.qm species the environment type