Optimization strategies of fruit detection to overcome the challenge of unstructured background in field orchard environment: A review
Y Tang, J Qiu, Y Zhang, D Wu, Y Cao, K Zhao… - Precision Agriculture, 2023 - Springer
The demand for intelligent agriculture is increasing due to the continuous impact of world
food and environmental crises. Focusing on fruit detection, with the rapid development of …
food and environmental crises. Focusing on fruit detection, with the rapid development of …
An automated detection and classification of citrus plant diseases using image processing techniques: A review
The citrus plants such as lemons, mandarins, oranges, tangerines, grapefruits, and limes are
commonly grown fruits all over the world. The citrus producing companies create a large …
commonly grown fruits all over the world. The citrus producing companies create a large …
Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress
In the past 20 years, hyperspectral imaging has been widely investigated as an emerging,
promising technology for evaluating quality and safety of horticultural products. This …
promising technology for evaluating quality and safety of horticultural products. This …
On line detection of defective apples using computer vision system combined with deep learning methods
S Fan, J Li, Y Zhang, X Tian, Q Wang, X He… - Journal of Food …, 2020 - Elsevier
A deep-learning architecture based on Convolutional Neural Networks (CNN) and a cost-
effective computer vision module were used to detect defective apples on a four-line fruit …
effective computer vision module were used to detect defective apples on a four-line fruit …
Real-time defects detection for apple sorting using NIR cameras with pruning-based YOLOV4 network
S Fan, X Liang, W Huang, VJ Zhang, Q Pang… - … and Electronics in …, 2022 - Elsevier
In order to realize on-line detection of defective apples on a two-lane fruit sorting machine,
an inspection module was constructed using NIR cameras and a diffuse illumination …
an inspection module was constructed using NIR cameras and a diffuse illumination …
CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
In the agriculture farming business, plant diseases are the major reason for monetary
misfortunes around the globe. It is an imperative factor, as it causes significant diminution in …
misfortunes around the globe. It is an imperative factor, as it causes significant diminution in …
Bruise damage measurement and analysis of fresh horticultural produce—A review
UL Opara, PB Pathare - Postharvest Biology and Technology, 2014 - Elsevier
Bruising is the most common type of mechanical damage affecting fresh horticultural
produce, and reduces quality to the consumer and income to fruit and vegetable industries …
produce, and reduces quality to the consumer and income to fruit and vegetable industries …
Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review
BM Nicolai, K Beullens, E Bobelyn, A Peirs… - Postharvest biology and …, 2007 - Elsevier
An overview is given of near infrared (NIR) spectroscopy for use in measuring quality
attributes of horticultural produce. Different spectrophotometer designs and measurement …
attributes of horticultural produce. Different spectrophotometer designs and measurement …
Hyperspectral and multispectral imaging for evaluating food safety and quality
Spectral imaging technologies have been developed rapidly during the past decade. This
paper presents hyperspectral and multispectral imaging technologies in the area of food …
paper presents hyperspectral and multispectral imaging technologies in the area of food …
Recent advances and applications of hyperspectral imaging for fruit and vegetable quality assessment
D Lorente, N Aleixos, J Gómez-Sanchis… - Food and Bioprocess …, 2012 - Springer
Hyperspectral imaging systems are starting to be used as a scientific tool for food quality
assessment. A typical hyperspectral image is composed of a set of a relatively wide range of …
assessment. A typical hyperspectral image is composed of a set of a relatively wide range of …