James Magidi
Biographic Data
| ID | 6309827 |
|---|---|
| NAME | James Magidi |
| GIVEN NAMES | James |
| FAMILY NAME | Magidi |
| SIGNATURE | MAGIDI J |
| AFFILIATIONS | Tshwane University of Technology |
| ORCID | 0000-0001-5887-0904 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 1 |
Evaluating UAV Multispectral Imagery, Machine Learning and Image Analysis Techniques for Mapping Taro and Sweet Potato in a Smallholder Cropland in Swayimane, South Africa
Accurate mapping of neglected and underutilised crop species (NUS) in complex smallholder fields is critical for enhancing food security, yet it remains a significant challenge due to landscape heterogeneity, spectral similarities between crops and the spatial complexity of strip intercropping systems. This study evaluates the efficacy of unmanned aerial vehicle (UAV) multispectral imagery for mapping taro and sweet potato, addressing the limitat…
Low-cost and scalable detection of sparse informal settlements using machine learning in Gcuwa, Eastern Cape, South Africa
Informative and scalable cartography plays a pivotal role in curbing urban pollution, waste management, and mitigating environmental damage in the development of informal settlements. The contemporary capabilities of cloud computing facilitate streamlined access to comprehensive data repositories, computational infrastructure, and proficient tools that have rapidly advanced the execution of sprawl mapping procedures. This study tests the performa…
Land use and land cover changes in Notwane watershed, Botswana, using extreme gradient boost (XGBoost) machine learning algorithm
Botswana’s Notwane watershed is crucial for supplying water to Gaborone and surrounding areas. However, urbanization and climate variability threaten its water resources. Land Use and Land Cover (LULC) changes contribute to climate variability, impacting food security, water supply, and weakening rural economies and socio-cultural structures. This study employs geospatial techniques to model LULC changes and inform sustainable environmental manag…
Urban nexus and transformative pathways towards a resilient Gauteng City-Region, South Africa
Challenges emanating from rapid urbanisation require innovative strategies to transform cities into global climate action and adaptation centres. We provide an analysis of the impacts of rapid urbanisation in the Gauteng City-Region, South Africa, highlighting major challenges related to (i) land use management, (ii) service delivery (water, energy, food, and waste and sanitation), and (iii) social cohesion. Geospatial techniques were used to ass…
Urban nexus and transformative pathways towards a resilient Gauteng City-Region, South Africa
Challenges emanating from rapid urbanisation require innovative strategies to transform cities into global climate action and adaptation centres. We provide an analysis of the impacts of rapid urbanisation in the Gauteng City-Region, South Africa, highlighting major challenges related to (i) land use management, (ii) service delivery (water, energy, food, and waste and sanitation), and (iii) social cohesion. Geospatial techniques were used to ass…
Urban nexus and transformative pathways towards a resilient Gauteng City-Region, South Africa
Challenges emanating from rapid urbanisation require innovative strategies to transform cities into global climate action and adaptation centres. We provide an analysis of the impacts of rapid urbanisation in the Gauteng City-Region, South Africa, highlighting major challenges related to (i) land use management, (ii) service delivery (water, energy, food, and waste and sanitation), and (iii) social cohesion. Geospatial techniques were used to ass…
Low-cost and scalable detection of sparse informal settlements using machine learning in Gcuwa, Eastern Cape, South Africa
Informative and scalable cartography plays a pivotal role in curbing urban pollution, waste management, and mitigating environmental damage in the development of informal settlements. The contemporary capabilities of cloud computing facilitate streamlined access to comprehensive data repositories, computational infrastructure, and proficient tools that have rapidly advanced the execution of sprawl mapping procedures. This study tests the performa…
Land use and land cover changes in Notwane watershed, Botswana, using extreme gradient boost (XGBoost) machine learning algorithm
Botswana’s Notwane watershed is crucial for supplying water to Gaborone and surrounding areas. However, urbanization and climate variability threaten its water resources. Land Use and Land Cover (LULC) changes contribute to climate variability, impacting food security, water supply, and weakening rural economies and socio-cultural structures. This study employs geospatial techniques to model LULC changes and inform sustainable environmental manag…
Evaluating UAV Multispectral Imagery, Machine Learning and Image Analysis Techniques for Mapping Taro and Sweet Potato in a Smallholder Cropland in Swayimane, South Africa
Accurate mapping of neglected and underutilised crop species (NUS) in complex smallholder fields is critical for enhancing food security, yet it remains a significant challenge due to landscape heterogeneity, spectral similarities between crops and the spatial complexity of strip intercropping systems. This study evaluates the efficacy of unmanned aerial vehicle (UAV) multispectral imagery for mapping taro and sweet potato, addressing the limitat…
Geography (3 works) · Land Use and Ecosystem Services (3 works) · Computer Science (2 works) · Economic growth (2 works) · Economics (2 works) · Engineering (2 works) · Urban and Rural Development Challenges (2 works) · Agriculture (1 work) · Algorithm (1 work) · Archaeology (1 work)