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Multi-objective optimization through artificial intelligence for designing of an Agave angustifolia leaf shredder
A neural network and a genetic algorithm were used in a hybrid method to get the optimal design parameters of an Agave angustifolia Haw. green leaf shredder. First, a prototype of an experimental machine was built using the design parameters recommended by the literature and calculated using linear equations. Then, the shredder prototype was subjected to experiments. The defibration data with different blade adjustments were obtained with experimental values. The data was configured and traineddoi:10.17268/sci.agropecu.2022.026 fatcat:jydhfeh6dfgwzjv3w3udtvesba