Nicholas Kiggundu
Biographic Data
| ID | 9058591 |
|---|---|
| NAME | Nicholas Kiggundu |
| GIVEN NAMES | Nicholas |
| FAMILY NAME | Kiggundu |
| SIGNATURE | KIGGUNDU N |
| AFFILIATIONS | Makerere University |
| ORCID | 0000-0001-9014-7695 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Quantifying forest above ground biomass
This review compares traditional and remote sensing methods for biomass estimation. • Traditional methods are more accurate but arduous, costly on a large-scale. • Remote sensing techniques are suitable for large-scale forest analysis. • Artificial Neural Networks performed best with coefficient of determination of 0.8. • Further exploration of artificial and convolutional neural networks is recommended. Forests are important in sequestering carb…
Designing a solar and wind hybrid system for small-scale irrigation
No prominent works on this page.
Designing a solar and wind hybrid system for small-scale irrigation
Quantifying forest above ground biomass
This review compares traditional and remote sensing methods for biomass estimation. • Traditional methods are more accurate but arduous, costly on a large-scale. • Remote sensing techniques are suitable for large-scale forest analysis. • Artificial Neural Networks performed best with coefficient of determination of 0.8. • Further exploration of artificial and convolutional neural networks is recommended. Forests are important in sequestering carb…
Agricultural engineering (1 works) · Artificial neural network (1 works) · Carbon sequestration (1 works) · Climate change (1 works) · Decision tree (1 works) · Drip irrigation (1 works) · Economics (1 works) · Engineering (1 works) · Environmental Science (1 works) · Forest Biomass Utilization and Management (1 works)