Phytoremediation of dairy wastewater using Azolla pinnata: Application of image processing technique for leaflet growth simulation

By M. Goala, K. Yadav, J. Alam, B. Adelodun, Kyung-Sook Choi, Marina M. S. Cabral-Pinto, A. A. Hamid, M. Alhoshan, F. A. A. Ali, A. Shukla. 2021

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Abstract The present study assessed the phytoremediation efficiency of water fern (Azolla pinnata R.Br.) in the treatment of dairy wastewater (DWW). Batch mode experimentation was done using different dilutions (0 to 100%) of DWW transplanted with five healthy leaflets of A. pinnata. Besides this, the A. pinnata growth was captured using camera vision-based image recognition and further modeled using logistic and modified Gompertz models. The findings showed that after 14 days of phytoremediation experiments, the maximum significant (p   0.9533) and minimum difference between experimental and model-predicted results. Thus, the combined application of phytoremediation and image processing techniques can be used to monitor and maximize plant growth performance.

Subfields: Industrial and Manufacturing Engineering, Insect Science

View Paper: https://www.semanticscholar.org/paper/6e8fc3f1a6801786377d0bfb78f5e9e9d9d043ed