A Systemic Model for Understanding Business Interactions With Biodiversity and Ecosystems
ABSTRACT Biodiversity loss and ecosystem degradation represent critical threats to human well‐being and economic resilience, challenging businesses to understand and manage their interdependence with natural systems. This study develops a systemic framework—the BioModel—that elucidates the reciprocal relationship between businesses, biodiversity, and ...
Lino Cinquini +2 more
wiley +1 more source
Audio signal analysis using a modified forward-forward algorithm with enhanced segmentation for soil pest detection. [PDF]
Dash TK, Raj A, Mahapatra S, Panda G.
europepmc +1 more source
Pest-YOLO: A model for large-scale multi-class dense and tiny pest detection and counting. [PDF]
Wen C +6 more
europepmc +1 more source
ABSTRACT Businesses are increasingly striving to reduce their carbon footprint, with carbon offsetting emerging as a viable pathway towards achieving carbon neutrality. Such efforts signify a demonstrated commitment to fostering environmental sustainability and contributing to a more sustainable future.
Sanjeev Yadav +4 more
wiley +1 more source
MAVM-UNet: multiscale aggregated vision MambaU-Net for field rice pest detection. [PDF]
Zhang C, Zhang T, Shang G.
europepmc +1 more source
Attention-Based Multiscale Feature Pyramid Network for Corn Pest Detection under Wild Environment. [PDF]
Kang C +5 more
europepmc +1 more source
Greens in Regulation: Biodiversity Strategy Implementation Across the Golf Industry
ABSTRACT Although much of the business and biodiversity literature focuses on extractive industries, we turn our attention to the golf industry. Golf courses occupy millions of acres globally, yet biodiversity strategy implementation across the golf industry remains understudied.
Jordan P. Howell, Jordan Moore
wiley +1 more source
Review of eradication and containment campaigns. PD No. 5-1 [PDF]
Bacher, S. +6 more
core +1 more source
PKD-YOLOv8: A Collaborative Pruning and Knowledge Distillation Framework for Lightweight Rapeseed Pest Detection. [PDF]
Yu H +5 more
europepmc +1 more source
ASP-Det: Toward Appearance-Similar Light-Trap Agricultural Pest Detection and Recognition. [PDF]
Wang F +6 more
europepmc +1 more source

