Understanding plant growth efficiency in various environmental conditions is crucial for sustainable agriculture and conservation efforts. This study applies Data Envelopment Analysis (DEA) to evaluate plant growth efficiency across different species and environmental setups, accounting for imperfect conditions such as soil quality and climate variability. The modified DEA model incorporates these variabilities as inputs to better reflect real-world scenarios. Results demonstrate the effectiveness of the approach in identifying optimal growth strategies and improving resource allocation for enhanced sustainability.

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