Design of Experiments on Grass Growth in Controlled Environment

Zaman, Muhammad Adib Uz and Parmer, Anup Bharatkumar and Naghdi, Saman (2018): Design of Experiments on Grass Growth in Controlled Environment.

Abstract

Most design of experiments in agricultural applications are complex operations in nature because of numerous process variables, feed material attributes, and raw material attributes that can have significant impact on the performance of the process. Design of experiments (DOE)-based approach offers a solution to this conundrum and allows for an efficient estimation of the main effects and the interactions with minimal number of experiments. This study investigates on the most effective factors contributing in grass growth. All the factors are set in two levels to create a full-factorial 2k design. A systematic methodology is proposed for construction of the model and for precise prediction of the responses which is lawn growth. The results indicate that water is the most significant factor that the cultivator can directly control and cheap seeds found to be suitable for the grass growth applications under consideration

• Item Type: MPRA Paper
• Language: English
• Keywords: DOE, Grass Growth, 2^k design, Full factorial, Random Experiments, ANOVA
• Subjects: C - Mathematical and Quantitative Methods > C9 - Design of Experiments > C90 - General

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