| nr |
titel |
auteur |
tijdschrift |
jaar |
jaarg. |
afl. |
pagina('s) |
type |
| 1 |
A novel approach based on a modified mask R-CNN for the weight prediction of live pigs
|
Xie, Chuanqi
|
|
|
12 |
C |
p. 19-28
|
artikel
|
| 2 |
Cross-comparative review of Machine learning for plant disease detection: apple, cassava, cotton and potato plants
|
Omaye, James Daniel
|
|
|
12 |
C |
p. 127-151
|
artikel
|
| 3 |
Deep learning-based intelligent precise aeration strategy for factory recirculating aquaculture systems
|
Yang, Junchao
|
|
|
12 |
C |
p. 57-71
|
artikel
|
| 4 |
Deep learning for broadleaf weed seedlings classification incorporating data variability and model flexibility across two contrasting environments
|
León, Lorenzo
|
|
|
12 |
C |
p. 29-43
|
artikel
|
| 5 |
Grow-light smart monitoring system leveraging lightweight deep learning for plant disease classification
|
Macdonald, William
|
|
|
12 |
C |
p. 44-56
|
artikel
|
| 6 |
Hazelnut mapping detection system using optical and radar remote sensing: Benchmarking machine learning algorithms
|
Sasso, Daniele
|
|
|
12 |
C |
p. 97-108
|
artikel
|
| 7 |
Hyperparameter optimization of YOLOv8 for smoke and wildfire detection: Implications for agricultural and environmental safety
|
Ramos, Leo
|
|
|
12 |
C |
p. 109-126
|
artikel
|
| 8 |
InstaCropNet: An efficient Unet-Based architecture for precise crop row detection in agricultural applications
|
Guo, Zhiming
|
|
|
12 |
C |
p. 85-96
|
artikel
|
| 9 |
LeafSpotNet: A deep learning framework for detecting leaf spot disease in jasmine plants
|
V, Shwetha
|
|
|
12 |
C |
p. 1-18
|
artikel
|
| 10 |
Towards sustainable agriculture: Harnessing AI for global food security
|
Pandey, Dhananjay K.
|
|
|
12 |
C |
p. 72-84
|
artikel
|
Tijdschrift beschrijving