Abstract
Purpose
Regression analysis to predict growth indices of plant is essential for understanding the relationship between the total leaf area, production of fresh weight and dry matter, and expansion of the plant growth.
Methods
An experiment was conducted to develop regression models for estimating leaf area, fresh weight, and dry weight from measurements of plant height at the vegetative phase of hot pepper (Capsicum annuum Linnaeus) grown in biodegradable pots in a greenhouse. Five models were evaluated and compared: linear regression model, two-order polynomial regression model (P. order 2), three-order polynomial regression model (P. order 3), four-order polynomial regression model (P. order 4), and power regression model. The models were compared using the coefficient of determination (R2), Pearson’s correlation coefficient (r), root mean square error (RMSE), relative standard error (RSE), and mean absolute percentage error (MAPE).
Results
Power regression involving plant height demonstrated the highest R-square among the other models with minimum error estimate for the expected leaf area (R2 > 0.96, r > 0.98, RMSE < 1.2, RSE < 0.04, and MAPE < 11.8); however, P. order 2 had a more accurate calculation of the fresh weight (R2 > 0.98, r > 0.99, RMSE < 0.26, RSE < 0.04, and MAPE < 16.07) and dry weight (R2 > 0.97, r > 0.98, RMSE < 0.03, RSE < 0.02, and MAPE < 11.7) of the plant considering both the fit and degree of adjustment, and the interpretation of the model.
Conclusions
This study creates scope for further experimentation on various species of crops by changing management practices under different environmental conditions to enhance knowledge and understanding of the growing patterns of plants.
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Funding
This work was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry and Fisheries (IPET) through the Agriculture, Food and Rural Affairs Research Center Support Program, funded by the Ministry of Agriculture, Food and Rural Affairs (MAFRA) (716001-07).
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Basak, J.K., Qasim, W., Okyere, F.G. et al. Regression Analysis to Estimate Morphology Parameters of Pepper Plant in a Controlled Greenhouse System. J. Biosyst. Eng. 44, 57–68 (2019). https://doi.org/10.1007/s42853-019-00014-0
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DOI: https://doi.org/10.1007/s42853-019-00014-0