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Black Sigatoka, caused by the fungus P. fijiensis, is the most severe disease that affects bananas (Musa spp). Research has projected increases in disease severity in response to climate change and variability, highlighting the need to analyze the relative contributions of climate change and immediate responses to their effects on these crops. This study aimed to analyze the influence of climate variability and spatiotemporal variability of soil and climatic conditions on Black Sigatoka. In addition, it was evaluated the use of geostatistical, geomatics, remote sensing, and geographic information systems techniques for disease detection over the past 30 years. A systematic review of 156 articles was conducted using bibliometric analysis, considering descriptive statistics and bibliometric mapping using VOSviewer. The results showcased geostatistical methods used to measure Sigatoka infection in banana crops and identify soil and climatic variables associated with this disease. It is concluded that climate change has the potential to increase Black Sigatoka infection, but precision agriculture could be an effective tool to mitigate the negative impact on banana crops.
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Ustate et al. (2024) studied this question.
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