IFIP advances in information and communication technology, Journal Year: 2024, Volume and Issue: unknown, P. 112 - 126
Published: Jan. 1, 2024
Language: Английский
IFIP advances in information and communication technology, Journal Year: 2024, Volume and Issue: unknown, P. 112 - 126
Published: Jan. 1, 2024
Language: Английский
Sustainable materials and technologies, Journal Year: 2024, Volume and Issue: 42, P. e01181 - e01181
Published: Nov. 13, 2024
Language: Английский
Citations
8Nature Food, Journal Year: 2025, Volume and Issue: unknown
Published: March 11, 2025
Language: Английский
Citations
1Poultry Science, Journal Year: 2025, Volume and Issue: 104(4), P. 104831 - 104831
Published: Jan. 20, 2025
Feeding low crude protein (LCP) diets supplemented with crystalline amino acids improves environmental and welfare parameters of broilers. However, increased body fat contents in broilers fed LCP have become a concern. Black soldier fly larvae oil (BSFLO), rich lauric acid, has been reported to inhibit lipogenesis reduce fat. A 3 × 2 factorial experiment was conducted evaluate the effect BSFLO on performance, blood biochemistry, carcass quality, metabolism gene expression, litter quality protein-reduced diets. total 288 were divided into 6 treatments: three CP levels (200, 185, or 170 g/kg; high [HCP], medium [MCP], [LCP]) two sources (BSFLO Crude Palm Oil [CPO]), replicate pens 8 birds each. Results showed 15 g/kg reduction had no weight feed intake (P > 0.05) but FCR = 0.001). 30 significantly reduced inferior < 0.05). negative mitigated by 0.008). Reducing pads 0.033), whereas 0.049) at all levels. Protein-reduced cholesterol 0.002), HDL 0.001), LDL 0.002). decreased triglyceride 0.026) meat cooking loss 0.035), while 0.001) 0.003). The inclusion diet down-regulated expression FAS, ACC, SREBP-1, HMGR pH 0.011), nitrogen ammonia moisture 0.018). study concludes that down-regulating expression. In addition, enhanced efficiency diet.
Language: Английский
Citations
0Frontiers in Nutrition, Journal Year: 2025, Volume and Issue: 12
Published: March 13, 2025
This study aims to explore the transformative role of Artificial Intelligence (AI) in food manufacturing by optimizing production, reducing waste, and enhancing sustainability. review follows a literature approach, synthesizing findings from peer-reviewed studies published between 2019 2024. A structured methodology was employed, including database searches inclusion/exclusion criteria assess AI applications manufacturing. By leveraging predictive analytics, real-time monitoring, computer vision, streamlines workflows, minimizes environmental footprints, ensures product consistency. The examines AI-driven solutions for waste reduction through data-driven modeling circular economy practices, aligning industry with global sustainability goals. Additionally, it identifies key barriers adoption—including infrastructure limitations, ethical concerns, economic constraints—and proposes strategies overcoming them. highlight necessity cross-sector collaboration among stakeholders, policymakers, technology developers fully harness AI's potential building resilient sustainable ecosystem.
Language: Английский
Citations
0Chemosphere, Journal Year: 2024, Volume and Issue: 353, P. 141498 - 141498
Published: Feb. 19, 2024
Language: Английский
Citations
3Journal of Asia-Pacific Entomology, Journal Year: 2024, Volume and Issue: 27(3), P. 102306 - 102306
Published: Aug. 1, 2024
Language: Английский
Citations
2Waste and Biomass Valorization, Journal Year: 2024, Volume and Issue: 15(10), P. 6021 - 6034
Published: May 31, 2024
Language: Английский
Citations
1International Journal of Green Energy, Journal Year: 2024, Volume and Issue: 21(14), P. 3252 - 3269
Published: July 10, 2024
Language: Английский
Citations
1Bioresource Technology, Journal Year: 2024, Volume and Issue: 412, P. 131379 - 131379
Published: Aug. 29, 2024
Language: Английский
Citations
1Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: unknown, P. 144457 - 144457
Published: Dec. 1, 2024
Language: Английский
Citations
1