Formulation of Approximate Generalized Experimental Data based Model of Fertilizer Mixing Unit Energized by Human Powered Flywheel Motor
Keywords:
Artificial Neural Network (ANN Simulation), Human power, Nursery Fertilizer Mixer, Optimization, Theory of ExperimentationAbstract
The correct proportions of soil, water, sand, and cow dung are mixed in a human-powered nursery fertilizer mixer. It is then used as a plantation fertilizer in small-scale farming. We have built a machine that uses human power instead of electricity to stir things up. It can be shown that human force is considerable and can be simply transformed into labour. Such a human-powered nursery fertilizer mixer has been created in this study using an approximation generalized experimental data-based model. After that, the model's optimization is established. Also established is an ANN (Artificial Neural Network) simulation of the system's behavioural data.