Detection of high-risk diseases in poultry feces through transfer learning
Poultry farming industry constitutes a significant part of the global economy. Deep learning technology possesses the ability to autonomously analyze images, allowing constructed models to aid in the analysis and management of the poultry farming industry, particularly in early detection of sick pou...
Saved in:
| Main Authors: | Abdulkadir Tasdelen, Yenal Arslan |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-04-01
|
| Series: | Engineering Science and Technology, an International Journal |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215098625000576 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Seroprevalence and pathological investigation of salmonellosis in poultry
by: M. Al Mamun, et al. -
Seroprevalence, Identification, and Pathology of Salmonellosis in Selected Poultry Farms at Barishal District of Bangladesh
by: Shampa Rani, et al.
Published: (2022-06-01) -
Anticoccidial activities of Piper betle L essential oil on Eimeria tenella oocysts
by: Rina Ristanti, et al.
Published: (2024-10-01) -
Intraspecific Variations in Biology and Pathogenesis of Two Eimeria maxima Isolates From Distinct Geographic Locations
by: Elham Sobhani, et al.
Published: (2025-05-01) -
Research note: In vitro anticoccidial activity of protein and lipid extracts from the black soldier fly larvae (Hermetia illucens)
by: Laura Sedano, et al.
Published: (2025-04-01)