The chi‐square test results, with a highly significant p value (< 0.001), suggest that the observed LULC changes are not random but influenced by underlying factors likely related to the impacts of plantation activities.
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Machine Learning and Spatio Temporal Analysis for Assessing Ecological Impacts of the Billion Tree Afforestation Project.
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