Daniel Ramp
Biographic Data
| ID | 4411129 |
|---|---|
| NAME | Daniel Ramp |
| GIVEN NAMES | Daniel |
| FAMILY NAME | Ramp |
| SIGNATURE | RAMP D |
| AFFILIATIONS | Centre for Compassionate Conservation, Faculty of Science University of Technology Sydney Ultimo NSW 2007 Australia |
| ORCID | 0000-0003-3202-9898 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2018 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Unlocking digital twin planning for grazing industries with farmer centred design
Remote sensing, digital farm management tools, and machine learning are technological innovations that when combined have the potential to greatly enhance digital twin capability in rangeland grazing systems. User centred design is increasingly recognised as integral to technological development in agriculture and is essential during the early phases of development in emerging technologies, like digital twins, when those technologies are unfamili…
Summoning compassion to address the challenges of conservation
Conservation practice is informed by science, but it also reflects ethical beliefs about how humanity ought to value and interact with Earth's biota. As human activities continue to drive extinctions and diminish critical life‐sustaining ecosystem processes, achieving conservation goals becomes increasingly urgent. However, the determination to react decisively can drive conservationists to handle complex challenges without due deliberation, part…
No prominent works on this page.
Summoning compassion to address the challenges of conservation
Conservation practice is informed by science, but it also reflects ethical beliefs about how humanity ought to value and interact with Earth's biota. As human activities continue to drive extinctions and diminish critical life‐sustaining ecosystem processes, achieving conservation goals becomes increasingly urgent. However, the determination to react decisively can drive conservationists to handle complex challenges without due deliberation, part…
Unlocking digital twin planning for grazing industries with farmer centred design
Remote sensing, digital farm management tools, and machine learning are technological innovations that when combined have the potential to greatly enhance digital twin capability in rangeland grazing systems. User centred design is increasingly recognised as integral to technological development in agriculture and is essential during the early phases of development in emerging technologies, like digital twins, when those technologies are unfamili…
Biology (2 works) · Economics (2 works) · Additive Manufacturing and 3D Printing Technologies (1 works) · Agricultural economics (1 works) · Animal and Plant Science Education (1 works) · Biodiversity (1 works) · Business (1 works) · Conservation biology (1 works) · Conservation psychology (1 works) · Design Education and Practice (1 works)