# Informatics & dairy industry coalition: AI trends and present challenges

arXiv: https://arxiv.org/abs/2406.12770 · HTML: https://mlsanity.com/paper/2406.12770/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 3 of its 53 references that are in the map.
- First posted on arXiv 18 Jun 2024.

## Builds on (most cited first, 3 of 3)

- [Operational Neural Networks](https://mlsanity.com/paper/1902.11106/) (2019)
- [Detection of financial opportunities in micro-blogging data with a stacked classification system](https://mlsanity.com/paper/2404.07224/) (2024)
- [Trends in Workplace Wearable Technologies and Connected-Worker Solutions for Next-Generation Occupational Safety, Health, and Productivity](https://mlsanity.com/paper/2205.11740/) (2022)

## Abstract (arXiv)

Artificial Intelligence (AI) can potentially transform the industry, enhancing the production process and minimizing manual, repetitive tasks. Accordingly, the synergy between high-performance computing and powerful mathematical models enables the application of sophisticated data analysis procedures like Machine Learning. However, challenges exist regarding effective, efficient, and flexible processing to generate valuable knowledge. Consequently, this work comprehensively describes industrial challenges where AI can be exploited, focusing on the dairy industry. The conclusions presented can help researchers apply novel approaches for cattle monitoring and farmers by proposing advanced technological solutions to their needs.