Nxumalo Gift Siphiwe

1.

Nxumalo, G., Ramabulana, T. S., Zibuyile, D., Tamás, J., Kiss, N. É., Nagy, A.: AI-Driven Integration of Sentinel-1 SAR for High-Resolution Soil Water Content Estimation to Enhance Precision Irrigation in Smallholder Maize Systems, Vhembe District.
Water. 18, 1-34, (article identifier: 499), 2026.

doi DEA

Journal metrics:

Q1 Aquatic Science (2025)

Q2 Biochemistry (2025)

Q1 Geography, Planning and Development (2025)

Q1 Water Science and Technology (2025)

2.

Nxumalo, G., Ramabulana, T. S., Nagy, A.: GIS and Remote Sensing Applications for Assessing Soil Contamination in South African Agriculture: A Machine Learning-Enhanced Scoping Review.
Agriculture. 16 (7), 1-36, (article identifier: 797), 2026.

doi DEA

Journal metrics:

Q1 Agronomy and Crop Science (2025)

Q1 Food Science (2025)

Q1 Plant Science (2025)

3.

Nxumalo, G., Ramabulana, T. S., Zibuyile, D., Louis, A., Nagy, A.: Integrating OPTRAM and Machine Learning with Multimodal EO Proxies for Optimized Irrigation Scheduling in Smallholder Systems: a Vhembe District Case Study.
Frontiers in Agronomy. 7, 1-17, (article identifier: 1697188), 2026.

doi DEA

Journal metrics:

Q1 Agricultural and Biological Sciences (miscellaneous) (2025)

Q1 Agronomy and Crop Science (2025)

Q1 Plant Science (2025)

Q1 Soil Science (2025)

4.

Nxumalo, G., Ramabulana, T. S., Vilakazi, N. F., Nagy, A.: Opportunities and Challenges of Sensor- and Acoustic-Based Irrigation Monitoring Technologies in South Africa: A Scoping Review with Machine Learning-Enhanced Evidence Synthesis.
AgriEngineering. 8 (5), 1-39, (article identifier: 161), 2026.

doi DEA

Journal metrics:

Q2 Agronomy and Crop Science (2025)

Q2 Engineering (miscellaneous) (2025)

Q2 Food Science (2025)

Q1 Horticulture (2025)

5.

Nxumalo, G., Fehér, Z. Z., Tamás, J., Burganakov, U., Nagy, A.: Advancing agricultural water regime using sar technology: soil moisture and etc estimation for sustainable crop production.
In: Abstract Book of the 8th International Scientific Conference on Water, Magyar Agrár-és Élettudományi Egyetem, Gödöllő, 16, 2025. ISBN: 9789636231156(pdf)

DEA

6.

Nxumalo, G., Chauke, H.: Challenges and opportunities in smallholder agriculture digitization in South Africa.
Front. Sustain. Food Syst. 9, (article identifier: 1583224), 2025.

doi DEA WoS

Journal metrics:

Q1 Agronomy and Crop Science

Q1 Ecology

Q1 Food Science

Q2 Global and Planetary Change

D1 Horticulture

Q2 Management, Monitoring, Policy and Law

7.

Szabó, A., Nxumalo, G., Bódi, E., Ademola, B., Tamás, J., Nagy, A.: Evaluation of ground based spectral imaging for real time maize biomass monitoring.
Front. Plant Sci. 16, 1-15, (article identifier: 1566305), 2025.

doi DEA

Journal metrics:

D1 Plant Science

8.

Nxumalo, G., Radócz, L., Ramabulana, T. S., Nagy, A.: Machine Learning-Enhanced Soil Water Content Estimation Using Sentinel-1 SAR for Precision Irrigation in Eastern Hungary.
In: XIII. Interdiszciplináris doktorandusz konferencia, Pécsi Tudományegyetem Doktorandusz Önkormányzat, Pécs, 21, 2025.

DEA

9.

Nagy, A., Szabó, A., Nxumalo, G., Bódi, E., Tamás, J.: Spectral-based monitoring methods to optimise precision irrigation in maize.
In: EGU General Assembly 2025, European Geosciences Union, Vienna, EGU25-9499, 2025.

doi DEA

10.

Nxumalo, G., Fehér, Z. Z., Ramabulana, T. S., Nagy, A.: Using Earth Observation and AI for Irrigation Management Amidst Meteorological Hazards: A Case Study in Limpopo, South Africa.
In: II. Natural Hazards and Climate Change Conference: International Conference for identifying and tackling challenges together / György Sipos, Szegedi Tudományegyetem, Szeged, 56, 2025.

DEA

11.

Nagy, A., Szabó, A., Elbeltagi, A., Nxumalo, G., Bódi, E., Tamás, J.: Hyperspectral indices data fusion-based machine learning enhanced by MRMR algorithm for estimating maize chlorophyll content.
Front. Plant Sci. 15, 1-18, (article identifier: 1419316), 2024.

doi DEA WoS Scopus

Journal metrics:

D1 Plant Science

12.

Nxumalo, G., Magyar, T., Tamás, J., Nagy, A.: Modelling Soil Moisture Content with Hydrus 2D in aContinental Climate for Effective Maize Irrigation Planning.
Agriculture-Basel. 14 (8), 1-23, (article identifier: 1340), 2024.

doi DEA WoS Scopus

Journal metrics:

Q1 Agronomy and Crop Science

Q2 Food Science

Q1 Plant Science

13.

Nxumalo, G., Magyar, T., Fehér, Z. Z., Tamás, J., Nagy, A.: Modelling soil water balance to plan maize irrigation for optimized water use.
In: KMKTK2024, XIX. Kárpát-medencei Környezettudományi Konferencia Absztrakt füzet = 19th Carpathian Basin Environmental Science Conferencea Book of Abstracts / Buró Botond, Molnár Mihály, Magyar Tudományos Akadémia. Atommagkutató Intézet, Debrecen, 58, 2024. ISBN: 9789638321602

DEA

14.

Nxumalo, G., Kiss, N. É., Fehér, Z. Z., Magyar, T., Bódi, E., Szabó, A., Pásztor, D., Tamás, J., Nagy, A.: Optimizing of alternative water resources reutilization on extreme sandy soil.
In: EGU General Assembly 2024 : SSS9.10 : Novel monitoring techniques and modeling tools to assess soil health for resilient management of soil and water resources in agroecosystems, European Geosciences Union, Vienna, 1(EGU24-18763), 2024.

DEA

15.

Nxumalo, G.: Assessment of remote sensed data for weed species recognition in agricultural fields.
In: EGU General Assembly 2023 : BG9.3 Remote Sensing of Vegetation Biodiversity/ co-organized by BG, European Geosciences Union, Munchen, 1 (EGU23-401), 2023.

doi DEA

16.

Nxumalo, G., Tamás, J., Bódi, E., Nagy, A., Fehér, Z. Z.: Development of a Cloud-Based GIS for Urban Soil Pollution Survey in Debrecen.
In: Absztraktkötet : III. Környezet, Egészség, Biztonság (EHS) Nemzetközi Szimpózium = Book of abstracts : 3 rd International Symposium on Environmental, Health and Safety (ISEHS), Debreceni Egyetem Műszaki Kar, Debrecen, 16, 2023.

DEA

17.

Nxumalo, G., Bashir, B., Alsafadi, K., Bachir, H., Harsányi, E., Arshad, S., Mohammed, S.: Meteorological Drought Variability and Its Impact on Wheat Yields across South Africa.
Int. J. Environ. Res. Public Health. 19 (24), 1-22, (article identifier: 16469), 2022.

doi DEA WoS Scopus

Journal metrics:

Q2 Health, Toxicology and Mutagenesis

Q2 Pollution

Q2 Public Health, Environmental and Occupational Health

Nxumalo Gift Siphiwe

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