This comprehensive review highlights the significant strides made in the field of food
freshness detection through the integration of deep learning and imaging techniques. By …

Hemerocallis citrina Baroni with different maturity levels has different uses for food and
medicine and has different economic benefits and sales value. However, the growth speed …

Klasifikasi kesegaran buah memiliki implikasi yang signifikan dalam industri pangan dan
pertanian di Indonesia, karena mempengaruhi kualitas produk yang dijual, keamanan …

This research explores the use of Convolutional Neural Networks (CNNs) for the automated
classification and profiling of food products based on publicly sourced data. With the vast …

Accurate fruit ripeness prediction is critical for farmers, distributors, and retailers to optimize
the food supply chain. Traditional visual inspection methods are subjective, inconsistent …

The automatic identification of fresh vegetables and fruits is imperative to streamline
agricultural processes, ensuring rapid and accurate assessment of produce quality …

The freshness of fruits is considered to be one of the essential characteristics for consumers
in determining their quality, flavor and nutritional value. The primary need for identifying …

Accurate and timely classification of fresh and decaying fruits is crucial for upholding quality
standards in the food industry. This study introduces a deep learning approach that utilizes …

传统水产品新鲜度检测方法存在对样本破坏较大, 操作步骤繁琐, 检测准确率及效率较低等一
系列问题. 针对上述问题, 以小黄鱼(Larimichthys polyactis) 新鲜度高效, 准确识别为目标 …

Food freshness classification is a growing concern in the food industry, mainly to protect
consumer health and prevent illness and poisoning from consuming spoiled food. Intending …