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 …

An automated detection and classification of citrus plant diseases using image processing techniques: A review

Z Iqbal, MA Khan, M Sharif, JH Shah… - … and electronics in …, 2018 - Elsevier
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 …

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 …

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 …

Hyperspectral imaging technology for quality and safety evaluation of horticultural products: A review and celebration of the past 20-year progress

Y Lu, W Saeys, M Kim, Y Peng, R Lu - Postharvest Biology and Technology, 2020 - Elsevier
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 …

Diagnosis of some apple fruit diseases by using image processing and artificial neural network

H Azgomi, FR Haredasht, MRS Motlagh - Food Control, 2023 - Elsevier
Farmers typically lack the knowledge of diagnosis and control of different apple diseases.
However, some apple diseases have visual symptoms and can be diagnosed by eyes, but …

Advances in apple's automated orchard equipment: A comprehensive research

M Mhamed, Z Zhang, J Yu, Y Li, M Zhang - Computers and Electronics in …, 2024 - Elsevier
This study reviews the advancement of apple-related technology in six distinct domains:
pruning, pollinating, thinning, bagging, harvesting, and sorting. Firstly, the pruning section …

CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features

MA Khan, T Akram, M Sharif, M Awais, K Javed… - … and electronics in …, 2018 - Elsevier
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 …

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 …

Hyperspectral and multispectral imaging for evaluating food safety and quality

J Qin, K Chao, MS Kim, R Lu, TF Burks - Journal of Food Engineering, 2013 - Elsevier
Spectral imaging technologies have been developed rapidly during the past decade. This
paper presents hyperspectral and multispectral imaging technologies in the area of food …