日期 影响因子
日期:
2020 年 — 2026 年
2020
2021
2022
2023
2024
2025
2026
影响因子:
–

Integration of geospatial techniques and artificial neural networks for groundwater potential zonation in India

结合地理空间技术和人工神经网络进行印度地下水潜力分区

期刊:Scientific Reports
影响因子:3.9
doi:10.1038/s41598-025-31640-8
Badapalli, Pradeep Kumar; Nakkala, Anusha Boya; Pujari, Padma Sree; Gugulothu, Sakram; Kottala, Raghu Babu; Mannala, Prasad; Alkhuraiji, Wafa Saleh; Thamaga, Kgabo Humphrey; Zhran, Mohamed
发表日期：2026
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Modelling the Potential Distribution of African Wormwood (Artemisia afra) Using a Machine Learning Algorithm-Based Approach (MaxEnt) in Sekhukhune District, South Africa

利用基于机器学习算法（MaxEnt）的方法对南非塞库库内区非洲艾蒿（Artemisia afra）的潜在分布进行建模

期刊:Ecology and Evolution
影响因子:2.3
doi:10.1002/ece3.71866
Matsane, Willem; Dhau, Inos; Mothapo, Mologadi Clodean; Thamaga, Kgabo Humphrey
Max
发表日期：2025
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Appraisal of hygiene indicators and farming practices in the production of leafy vegetables by organic small-scale farmers in uMbumbulu (Rural KwaZulu-Natal, South Africa)

对南非夸祖鲁-纳塔尔省农村地区姆布姆布鲁有机小农户叶类蔬菜生产中的卫生指标和耕作方式进行评估

期刊:International Journal of Environmental Research and Public Health
影响因子:
doi:10.3390/ijerph10094323
Mdluli, Fezile; Thamaga-Chitja, Joyce; Schmidt, Stefan
发表日期：2013
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