Zhu Guanyu, Raghavan G S V, Li Zhenfeng
Jiangsu Key Laboratory of Advanced Food Manufacturing Equipment and Technology, School of Mechanical Engineering, Jiangnan University, Wuxi 214122, China.
Department of Bioresource Engineering, McGill University, 21111 Lakeshore Road, Sainte-Anne-de-Bellevue, QC H9X 3V9, Canada.
Plants (Basel). 2023 Feb 19;12(4):941. doi: 10.3390/plants12040941.
As an agricultural plant, the cantaloupe contains rich nutrition and high moisture content. In this paper, the estimation problem of the moisture ratio model during a cantaloupe microwave drying process was considered. First of all, an image processing-based cantaloupe drying system was designed and the expression of the moisture ratio with regard to the shrinkage was built. Secondly, a maximum likelihood principle-based iterative evolution (MLP-IE) algorithm was put forward to estimate the moisture ratio model. After that, aiming at enhancing the model fitting ability of the MLP-IE algorithm, a maximum likelihood principle-based improved iterative evolution (MLP-I-IE) algorithm was proposed by designing the improved mutation strategy, the improved scaling factor, and the improved crossover rate. Finally, the MLP-IE algorithm and MLP-I-IE algorithm were applied for estimating the moisture ratio model of cantaloupe slices. The results showed that both the MLP-IE algorithm and MLP-I-IE algorithm were effective and that the MLP-I-IE algorithm performed better than the MLP-IE algorithm in model estimation and validation.
作为一种农作物，哈密瓜营养丰富且含水量高。本文考虑了哈密瓜微波干燥过程中含水率模型的估计问题。首先，设计了基于图像处理的哈密瓜干燥系统，并建立了含水率与收缩率之间的表达式。其次，提出了一种基于最大似然原理的迭代进化（MLP-IE）算法来估计含水率模型。之后，为提高MLP-IE算法的模型拟合能力，通过设计改进的变异策略、改进的缩放因子和改进的交叉率，提出了一种基于最大似然原理的改进迭代进化（MLP-I-IE）算法。最后，将MLP-IE算法和MLP-I-IE算法应用于哈密瓜片含水率模型的估计。结果表明，MLP-IE算法和MLP-I-IE算法均有效，且MLP-I-IE算法在模型估计和验证方面比MLP-IE算法表现更好。
