GANs for Data Augmentation with Stacked CNN Models and XAI for Interpretable Maize Yield Prediction DOI Creative Commons

Ishaan Seshukumar Pothapragada,

R. Sujatha

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100992 - 100992

Published: May 1, 2025

Language: Английский

The Role of Generative Artificial Intelligence in Digital Agri-Food DOI Creative Commons
Sakib Shahriar, Maria G. Corradini, Shayan Sharif

et al.

Journal of Agriculture and Food Research, Journal Year: 2025, Volume and Issue: unknown, P. 101787 - 101787

Published: March 1, 2025

Language: Английский

Citations

2
Exploring Attributions in Convolutional Neural Networks for Cow Identification DOI Creative Commons

Dimitar Tanchev,

Alexander Marazov, Gergana Balieva

et al.

Applied Sciences, Journal Year: 2025, Volume and Issue: 15(7), P. 3622 - 3622

Published: March 26, 2025

Face recognition and identification is a method that well established in traffic monitoring, security, human biodata analysis, etc. Regarding the current development implementation of digitalization all spheres public life, new approaches are being sought to use opportunities high technology advancements animal husbandry enhance sector’s sustainability. Using machine learning present study aims investigate possibilities for creation model visual face farm animals (cows) could be used future applications manage health, welfare, productivity at herd individual levels real-time. This provides preliminary results from an ongoing research project, which employs attribution methods identify parts facial image contribute most cow using triplet loss network. A dataset identifying cows environments was therefore created by taking digital images holdings with intensive breeding systems. After normalizing images, they were subsequently segmented into background regions. Several then explored analyzing attributions examine whether or regions have greater influence on network’s performance animal.

Language: Английский

Citations

1
The Emergence of Generative AI in Higher Education DOI
Jasten Keneth Treceñe,

Ricky Owen A. Patiga,

Benalyn B. Odal

et al.

Advances in computational intelligence and robotics book series, Journal Year: 2025, Volume and Issue: unknown, P. 73 - 96

Published: April 25, 2025

The emergence of Generative AI (GAI) in education brings both benefits and challenges. As GAI tools become more common schools, concerns about ethics, academic honesty, how well teachers students adapt to are a major concern. This chapter explored the challenges using as experienced by rural areas, where access technology digital skills may affect use. Following Husserlian phenomenological research design, participants were interviewed, transcripts examined thematic analysis. findings show that struggle balance with traditional teaching, while face literacy integrity. Despite these issues, see potential improving learning. emphasizes need for clear ethical guidelines, training, school support ensure used responsibly. These importance further on AI's role education.

Language: Английский

Citations

0
GANs for Data Augmentation with Stacked CNN Models and XAI for Interpretable Maize Yield Prediction DOI Creative Commons

Ishaan Seshukumar Pothapragada,

R. Sujatha

Smart Agricultural Technology, Journal Year: 2025, Volume and Issue: unknown, P. 100992 - 100992

Published: May 1, 2025

Language: Английский

Citations

0