[HTML][HTML] Convolutional neural networks for image-based high-throughput plant phenoty**: a review
Plant phenoty** has been recognized as a bottleneck for improving the efficiency of
breeding programs, understanding plant-environment interactions, and managing …
breeding programs, understanding plant-environment interactions, and managing …
The quiet revolution in machine vision-a state-of-the-art survey paper, including historical review, perspectives, and future directions
Over the past few years, what might not unreasonably be described as a true revolution has
taken place in the field of machine vision, radically altering the way many things had …
taken place in the field of machine vision, radically altering the way many things had …
A deep learning-based model for date fruit classification
A total of 8.46 million tons of date fruit are produced annually around the world. The date fruit
is considered a high-valued confectionery and fruit crop. The hot arid zones of Southwest …
is considered a high-valued confectionery and fruit crop. The hot arid zones of Southwest …
Deep learning-based appearance features extraction for automated carp species identification
Fish species identification is vital for aquaculture and fishery industries, stock management
of water bodies and environmental monitoring of aquatics. Traditional fish species …
of water bodies and environmental monitoring of aquatics. Traditional fish species …
Applications of deep-learning approaches in horticultural research: a review
B Yang, Y Xu - Horticulture Research, 2021 - academic.oup.com
Deep learning is known as a promising multifunctional tool for processing images and other
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …
big data. By assimilating large amounts of heterogeneous data, deep-learning technology …
Canopy-attention-YOLOv4-based immature/mature apple fruit detection on dense-foliage tree architectures for early crop load estimation
Accurate detection of both immature and mature apples in orchard environments is essential
for early crop load management. A near real-time method is proposed in this study for …
for early crop load management. A near real-time method is proposed in this study for …
A concise review on food quality assessment using digital image processing
Background Recent advances in signal processing technology and computational power
have increased the attention towards computer vision-based techniques in diverse …
have increased the attention towards computer vision-based techniques in diverse …
Date fruit classification for robotic harvesting in a natural environment using deep learning
An accurate vision system to classify and analyze fruits in real time is critical for harvesting
robots to be cost-effective and efficient. However, practical success in this area is still limited …
robots to be cost-effective and efficient. However, practical success in this area is still limited …
Evaluation of image processing technique as an expert system in mulberry fruit grading based on ripeness level using artificial neural networks (ANNs) and support …
Image processing and artificial intelligence (AI) techniques have been applied to analyze,
evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A …
evaluate and classify mulberry fruit according to their ripeness (unripe, ripe, and overripe). A …
Ore image classification based on small deep learning model: Evaluation and optimization of model depth, model structure and data size
Y Liu, Z Zhang, X Liu, L Wang, X **a - Minerals Engineering, 2021 - Elsevier
The ore image classification technology based on deep learning is an effective way to
improve the image sensor-based ore sorting classification capability. However, in practice …
improve the image sensor-based ore sorting classification capability. However, in practice …