Emerging postharvest technologies to enhance the shelf-life of fruit and vegetables: an overview
Quality losses in fresh produce throughout the postharvest phase are often due to the
inappropriate use of preservation technologies. In the last few decades, besides the …
inappropriate use of preservation technologies. In the last few decades, besides the …
Computer vision and deep learning-based approaches for detection of food nutrients/nutrition: New insights and advances
Background Nutrition plays a vital role in maintaining human health. Traditional methods
used for assessing food composition and nutritional content often require destructive sample …
used for assessing food composition and nutritional content often require destructive sample …
Non-destructive estimation of physicochemical properties and detection of ripeness level of apples using machine vision
Nondestructive estimation of physicochemical properties, post-harvest physiology, and level
of ripeness of fruits is essential to their automated harvesting, sorting, and handling. Recent …
of ripeness of fruits is essential to their automated harvesting, sorting, and handling. Recent …
[HTML][HTML] Precision assessment of rice grain moisture content using UAV multispectral imagery and machine learning
Amidst climate change, determining optimal rice harvest timing is increasingly complex.
Traditional and common methods, based on farmers' experience, impact rice's purchase …
Traditional and common methods, based on farmers' experience, impact rice's purchase …
[HTML][HTML] Computer vision system based on conventional imaging for non-destructively evaluating quality attributes in fresh and packaged fruit and vegetables
Quality assessment of fresh fruit and vegetables is an arduous and complex process which
needs very intensive labour of correlation among sensory and subjective determinations …
needs very intensive labour of correlation among sensory and subjective determinations …
Development of a low-cost digital image processing system for oranges selection using hopfield networks
The orange processing industry has grown vertiginously around the world recently once that
orange derived products are embedded in a profitable market that constitutes a substantial …
orange derived products are embedded in a profitable market that constitutes a substantial …
From harvest to market: Non-destructive bruise detection in kiwifruit using convolutional neural networks and hyperspectral imaging
Fruit is often bruised during picking, transportation, and packaging, which is an important
post-harvest issue especially when dealing with fresh fruit. This paper is aimed at the early …
post-harvest issue especially when dealing with fresh fruit. This paper is aimed at the early …
DeepSORT with siamese convolution autoencoder embedded for honey peach young fruit multiple object tracking
T Zhang, D Zhao, Y Chen, H Zhang, S Liu - Computers and Electronics in …, 2024 - Elsevier
The young fruit bagging robot usually preferentially selects the object with largest prediction
box size for bagging. However, due to the uncertainty in the output of the traditional models …
box size for bagging. However, due to the uncertainty in the output of the traditional models …
[HTML][HTML] Fuzzy Classification of the Maturity of the Orange (Citrus × sinensis) Using the Citrus Color Index (CCI)
The orange (Citrus sinensis) is a fruit of the Citrus genus, which is part of the Rutaceae
family. The orange has gained considerable importance due to its extensive range of …
family. The orange has gained considerable importance due to its extensive range of …
[HTML][HTML] Advancement in Measurement and AI-Driven Predictions of Maturity Indices in Kinnow (Citrus nobilis x Citrus deliciosa): A Comprehensive Review
Kinnow also known as mandarin are popular fruits worldwide for their refreshing flavor and
nutritional benefits. Their quality standards vary globally due to differences in climatic …
nutritional benefits. Their quality standards vary globally due to differences in climatic …