Results 71 to 80 of about 7,613 (182)
PotatoGuardNet: a refined deep learning framework for potato leaf disease detection. [PDF]
Nawaz M, Javed A, Saudagar AKJ.
europepmc +1 more source
TAKEUCHI, Jun, HORIE, Hiromichi
openaire +1 more source
ABSTRACT Relieving barriers and increasing free flowing rivers is a global imperative to restore habitat connectivity for migratory fish stocks. While reducing river fragmentation will certainly improve biodiversity, the spread of non‐native species throughout a river system may be facilitated as an inadvertent outcome.
Matthew Harwood +5 more
wiley +1 more source
TDS-YOLO: a lightweight detection model for fine-grained segmentation of tea leaf diseases. [PDF]
Xie Q, Wang T, Zu W, Jusoh YY, Jia L.
europepmc +1 more source
Rhyming in the cold: first evidence of soniferous fishes in the Southern Ocean
The acoustic ecology of Southern Ocean fishes remains unknown due to a lack of dedicated acoustic research on the fishes of this ocean. Passive acoustic monitoring data were collected at the South African sub‐Antarctic Prince Edward Islands using an underwater acoustic recorder, and towed underwater Ski‐Monkey cameras were deployed to identify fish ...
Fannie W. Shabangu +5 more
wiley +1 more source
A Lightweight Real-Time Tomato Leaf Disease Detection System for Edge-Based Smart Agriculture. [PDF]
Zhao R +5 more
europepmc +1 more source
ABSTRACT Integrating eco‐design practices in product development from the start is essential for fashion accessories like bags and backpacks, which involve complex manufacturing, diverse materials, and strong socio‐cultural meanings. Building on this premise and drawing from the Lifecycle Design Strategy Wheel, this study aims to characterize the eco ...
Francesco Paolo Lagrasta +2 more
wiley +1 more source
Antagonistic Activity and Molecular Insights into the Biocontrol of Korla Pear Fire Blight by <i>Paenibacillus</i> sp. TRMB57781. [PDF]
Wang X +6 more
europepmc +1 more source
Why theory matters for causal inference? Rethinking endogeneity in entrepreneurship research
Abstract Endogeneity in entrepreneurship research is often treated as a statistical complication addressable through advanced econometric tools. This commentary argues that such an approach overlooks a deeper issue: endogeneity is conceptual before it is statistical.
Daniel Tzabbar
wiley +1 more source
Mobile-assisted deep learning framework for identification of insect pests and diseases of maize from field images. [PDF]
Singh N +7 more
europepmc +1 more source

