Automated systems based on machine vision for inspecting citrus fruits from the field to postharvest—a review
Computer vision systems are becoming a scientific but also a commercial tool for food
quality assessment. In the field, these systems can be used to predict yield, as well as for …
quality assessment. In the field, these systems can be used to predict yield, as well as for …
Critical insights into modern hyperspectral image applications through deep learning
Hyperspectral imaging has shown tremendous growth over the past three decades.
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …
Hyperspectral imaging was evolved through remote sensing. Along, with the technological …
Detection and classification of citrus diseases in agriculture based on optimized weighted segmentation and feature selection
In agriculture, plant diseases are primarily responsible for the reduction in production which
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …
causes economic losses. In plants, citrus is used as a major source of nutrients like vitamin …
Citrus disease detection and classification using end-to-end anchor-based deep learning model
Plant diseases are the primary issue that reduces agricultural yield and production, causing
significant economic losses and instability in the food supply. In plants, citrus is a fruit crop of …
significant economic losses and instability in the food supply. In plants, citrus is a fruit crop of …
Citrus disease detection and classification using based on convolution deep neural network
H Çetiner - Microprocessors and Microsystems, 2022 - Elsevier
Plant diseases that cause instability in the food supply reduce agricultural yield and
production. As a result, it causes significant economic losses. Citrus, one of the plants, is …
production. As a result, it causes significant economic losses. Citrus, one of the plants, is …
Citrus disease detection using convolution neural network generated features and Softmax classifier on hyperspectral image data
Identification and segregation of citrus fruit with diseases and peel blemishes are required to
preserve market value. Previously developed machine vision approaches could only …
preserve market value. Previously developed machine vision approaches could only …
The qualitative and quantitative analysis of industrial paraffin contamination levels in rice using spectral pretreatment combined with machine learning models
J Wang, T Lin, S Ma, J Ju, R Wang, G Chen… - Journal of Food …, 2023 - Elsevier
Several bad traders have added industrial paraffin to rice in recent years to obtain more
benefits. However, eating such adulterated rice poses a hazard to people's health, so the …
benefits. However, eating such adulterated rice poses a hazard to people's health, so the …
Optical techniques for fungal disease detection in citrus fruit: a review
N Ghanei Ghooshkhaneh, K Mollazade - Food and Bioprocess …, 2023 - Springer
Fungal diseases that may occur before or after harvest are the main challenges of the
postharvest citrus industry. Some fungal diseases are slight and only drastically reduce the …
postharvest citrus industry. Some fungal diseases are slight and only drastically reduce the …
[HTML][HTML] Selecting hyperspectral bands and extracting features with a custom shallow convolutional neural network to classify citrus peel defects
Abstract Citrus Black Spot (CBS) causes considerable damage to the Florida citrus industry.
Early detection of CBS, especially in the presence of other peel blemishes, would enable …
Early detection of CBS, especially in the presence of other peel blemishes, would enable …
Detection of common defects on mandarins by using visible and near infrared hyperspectral imaging
H Zhang, S Zhang, W Dong, W Luo, Y Huang… - Infrared Physics & …, 2020 - Elsevier
The presence of surface defects is one of the most influential factors in the quality and price
of fresh fruit because consumers usually associate quality with a good appearance and …
of fresh fruit because consumers usually associate quality with a good appearance and …