ABSTRACT

In the past few decades, both academicians and industries have shown interest toward the agricultural post-harvest operation aiming to reduce the post-harvest losses. In order to assist farmers in post-harvest decision-making some effective and innovative methodological frameworks are required. The fruit weight measurement is of prime importance in many food processing industries during sorting, grading, and packaging. In this work, different Support vector machine (SVM) classifiers as well as weighing models developed using the optimized adaptive neuro-fuzzy inference system (ANFIS) coupled with a computer vision system are proposed. More precisely, the weighing models based on the hybrid ANFIS approach using two well-known optimization algorithms are analyzed. In the first approach, a series of GA-ANFIS models have been evaluated for different population size. In the later approach, different PSO-ANFIS models have been evaluated by varying the most influential parameters. The comprehensive self-built color image database has been used for both calibration and validation of the models. From an economic point of view, this indirect way of weighing fruits may be useful to fruit growers and traders in deciding the market depending on the fruit size and weight before packaging. The result shows the higher reliability and prediction capability of the proposed meta-heuristics (GA-ANFIS) model in estimating the weight of sweet lime fruit.

摘要

在过去的几十年中，院士和工业界都对旨在减少收获后损失的农业收获后行动表现出了兴趣。为了帮助农民进行收获后的决策，需要一些有效和创新的方法框架。在许多食品加工业中，在分类，分级和包装过程中，水果重量的测量至关重要。在这项工作中，提出了不同的支持向量机（SVM）分类器，以及使用优化的自适应神经模糊推理系统（ANFIS）与计算机视觉系统结合开发的权重模型。更准确地说，分析了基于混合ANFIS方法的权重模型，该方法使用了两种众所周知的优化算法。在第一种方法中 已针对不同的人口规模评估了一系列GA-ANFIS模型。在后一种方法中，已通过更改最具影响力的参数来评估不同的PSO-ANFIS模型。全面的自建彩色图像数据库已用于模型的校准和验证。从经济角度来看，这种间接称量水果的方式可能对水果种植者和贸易商根据包装前的水果大小和重量来决定市场很有用。结果表明，所提出的元启发式（GA-ANFIS）模型在估计甜酸橙果实重量方面具有较高的可靠性和预测能力。全面的自建彩色图像数据库已用于模型的校准和验证。从经济角度来看，这种间接称量水果的方式可能对水果种植者和贸易商根据包装前的水果大小和重量来决定市场很有用。结果表明，所提出的元启发式（GA-ANFIS）模型在估计甜酸橙果实重量方面具有较高的可靠性和预测能力。全面的自建彩色图像数据库已用于模型的校准和验证。从经济角度来看，这种间接称量水果的方式可能对水果种植者和贸易商根据包装前的水果大小和重量来决定市场很有用。结果表明，所提出的元启发式（GA-ANFIS）模型在估计甜酸橙果实重量方面具有较高的可靠性和预测能力。