Remote sensing technology and machine learning algorithms for crop yield prediction in Bambara groundnut and grapevines
Accurate and timely crop yield prediction (CYP) is important for ensuring food security, optimising agricultural practices and ensuring sustainable agriculture. Remote sensing technology (RS) utilises satellites, unmanned aerial vehicles (UAVs), unmanned ground vehicles (UGVs), and several platforms...
| Main Author: | |
|---|---|
| Format: | Thesis (University of Nottingham only) |
| Language: | English |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://eprints.nottingham.ac.uk/79839/ |