| Global research trends for unmanned aerial vehicle remote sensing application in wheat crop monitoring L Nduku, C Munghemezulu, Z Mashaba-Munghemezulu, AM Kalumba, ... Geomatics 3 (1), 115-136, 2023 | 16 | 2023 |
| Mapping smallholder maize farms using multi-temporal sentinel-1 data in support of the sustainable development goals Z Mashaba-Munghemezulu, GJ Chirima, C Munghemezulu Remote Sensing 13 (9), 1666, 2021 | 16 | 2021 |
| Modeling the spatial distribution of soil nitrogen content at smallholder maize farms using machine learning regression and sentinel-2 data Z Mashaba-Munghemezulu, GJ Chirima, C Munghemezulu Sustainability 13 (21), 11591, 2021 | 6 | 2021 |
| Delineating smallholder maize farms from Sentinel-1 coupled with Sentinel-2 data using machine learning Z Mashaba-Munghemezulu, GJ Chirima, C Munghemezulu Sustainability 13 (9), 4728, 2021 | 6 | 2021 |
| Unmanned aerial vehicle (UAV) and spectral datasets in South Africa for precision agriculture C Munghemezulu, Z Mashaba-Munghemezulu, PE Ratshiedana, ... Data 8 (6), 98, 2023 | 5 | 2023 |
| Earth observation systems and pasture modeling: A bibliometric trend analysis L Nduku, AM Kalumba, C Munghemezulu, Z Mashaba-Munghemezulu, ... ISPRS International Journal of Geo-Information 10 (11), 793, 2021 | 5 | 2021 |
| Machine learning algorithms for mapping Prosopis glandulosa and land cover change using multi-temporal Landsat products: a case study of Prieska in the Northern Cape Province … C De Villiers, C Munghemezulu, G Chirima, P Tsele, ... South African Journal of Geomatics 9 (2), 179-197, 2020 | 3 | 2020 |
| Field-Scale Winter Wheat Growth Prediction Applying Machine Learning Methods with Unmanned Aerial Vehicle Imagery and Soil Properties L Nduku, C Munghemezulu, Z Mashaba-Munghemezulu, W Masiza, ... Land 13 (3), 299, 2024 | 1 | 2024 |
| Modelling of Intra-Field Winter Wheat Crop Growth Variability Using in Situ Measurements, Unmanned Aerial Vehicle-Derived Vegetation Indices, Soil Properties, and Machine … L Nduku, C Munghemezulu, Z Mashaba-Munghemezulu, W Masiza, ... Environmental Sciences Proceedings 29 (1), 24, 2023 | 1 | 2023 |
| Modelling of Intra-Field Winter Wheat Crop Growth Variabil-ity Using in Situ Measurements, UAV Derived Vegetation In-dices, Soil Properties, and Machine Learning Algorithms L Nduku, C Munghemezulu, Z Mashaba-Munghemezulu, W Masiza, ... Presented at the 5th International Electronic Conference on Remote Sensing 7, 21, 2023 | 1 | 2023 |
| Weed detection in rainfed maize crops using UAV and planetscope imagery C De Villiers, C Munghemezulu, Z Mashaba-Munghemezulu, GJ Chirima, ... Sustainability 15 (18), 13416, 2023 | 1 | 2023 |
| Research Progress in the Application of Google Earth Engine for Grasslands Based on a Bibliometric Analysis Z Mashaba-Munghemezulu, L Nduku, C Munghemezulu, GJ Chirima Grasses 3 (2), 69-83, 2024 | | 2024 |
| Synergetic Use of Sentinel-1 and Sentinel-2 Data for Wheat-Crop Height Monitoring Using Machine Learning L Nduku, C Munghemezulu, Z Mashaba-Munghemezulu, PE Ratshiedana, ... AgriEngineering 6 (2), 1093-1116, 2024 | | 2024 |
| Smallholder Maize Farm Mapping With Multi-Temporal Sentinel-1 Data in Support of the Sustainable Development Goals Z Mashaba-Munghemezulu, C Munghemezulu, G Chirima, L Nduku Abstracts of the ICA 6, 159, 2023 | | 2023 |
| Crop classification and weed detection in rainfed maize crops using UAV and PlanetScope imagery C de Villiers, C Munghemezulu, GJ Chirima, SG Tesfamichael, ... Abstracts of the ICA 6, 50, 2023 | | 2023 |
| The potential of Sentinel-1 and Sentinel-2 remote sensing products for monitoring smallholder maize farms in support of the Sustainable Development Goals ZO Mashaba-Munghemezulu PQDT-Global, 2022 | | 2022 |
| Establishing knowledge, attitudes and potential drivers of drone technology adoption among South African smallholder farmers M Mamabolo, K Nhundu, C Munghemezulu, G Chirima, S Sibanda, ... Evidence-based Case Studies in South Africa, 243, 0 | | |
