Construction and application of an applicability evaluation system for garlic planters based on fuzzy comprehensive evaluation

The widespread use of garlic planters has been hampered by the lack of comprehensive applicability evaluation criteria, as their functional and structural designs are sometimes subpar and their purchase and use are not always financially advantageous. In order to close this gap in the applicability evaluation system for garlic planters, a three-level index system based on Technical indicators, Economic indicators, and Working condition indicators was proposed in the current study. A fuzzy comprehensive evaluation method was then applied to achieve the evaluation with the help of an analytical hierarchy process and validity test. By providing basic descriptions, physical test results and specific calculation results to the consulted ten experts and collecting the scores for the 3rd level indicators, the first-generation garlic planter was analyzed for the practical application of the Pizhou-white garlic planting area based on the established applicability evaluation system. The evaluated score of 74.47 was towards the bottom of the "good" range. The findings also suggest that enhancing operational safety, implementing plant spacing and planting depth adjustments, enhancing ease of operation, and to some extent lowering capital cost will improve functional performance and economic performance. The upgraded machine was subsequently created using the optimization guidelines. Its applicability score was 77.52, representing a 4.1% gain over the original computer. It has reached the midpoint of the "good" range and has achieved the optimization goal. The proposed applicability evaluation system can generally draw unbiased conclusions and provide scientific evaluation methods for the promotion of garlic planters in specific areas, benefiting not only the design and improvement of garlic planters but also the purchasing and application of them. However, further indicator refinement and a more thorough evaluation method appear necessary before the evaluation system is made more widely available.