Resources for image-based high-throughput phenotyping in crops and data sharing challenges
High-throughput phenotyping (HTP) platforms are capable of monitoring the phenotypic
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
variation of plants through multiple types of sensors, such as red green and blue (RGB) …
Remaining useful life assessment for lithium-ion batteries using CNN-LSTM-DNN hybrid method
The prediction of a Lithium-ion battery's lifetime is very important for ensuring safety and
reliability. In addition, it is utilized as an early warning system to prevent the battery's failure …
reliability. In addition, it is utilized as an early warning system to prevent the battery's failure …
A novel fully convolutional neural network approach for detection and classification of attacks on industrial IoT devices in smart manufacturing systems
Abstract Recently, Internet of things (IoT) devices have been widely implemented and
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
technologically advanced in manufacturing settings to monitor, collect, exchange, analyze …
Enhanced safety implementation in 5S+ 1 via object detection algorithms
Scholarly work points to 5S+ 1, a simple yet powerful method of initiating quality in
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …
manufacturing, as one of the foundations of Lean manufacturing and the Toyota Production …
Waste reduction via image classification algorithms: beyond the human eye with an AI-based vision
Modern manufacturing is the world's largest and most automated industrial sector. The rise
of Industry 4.0 technologies such as Big Data, Internet of Things (IoT) devices, and Machine …
of Industry 4.0 technologies such as Big Data, Internet of Things (IoT) devices, and Machine …
Mitigating docker security issues
R Yasrab - arXiv preprint arXiv:1804.05039, 2018 - arxiv.org
Docker offers an ecosystem that offers a platform for application packaging, distributing, and
managing within containers. However, the Docker platform has not yet matured. Presently …
managing within containers. However, the Docker platform has not yet matured. Presently …
Robotics multi-modal recognition system via computer-based vision
This paper presents a multi-modal recognition system (MMR) which can eliminates the need
for using Barcodes and Radio Frequency Identification Systems (RFIDs). Barcodes and …
for using Barcodes and Radio Frequency Identification Systems (RFIDs). Barcodes and …
A high-accuracy genotype classification approach using time series imagery
C Wang, M Sun, L Liu, W Zhu, P Liu, X Li - Biosystems Engineering, 2022 - Elsevier
Highlights•A high-accuracy approach of plant genotype classification is
proposed.•Genotypes were classified by simultaneously considering spatiotemporal …
proposed.•Genotypes were classified by simultaneously considering spatiotemporal …
[HTML][HTML] Machine learning classification of plant genotypes grown under different light conditions through the integration of multi-scale time-series data
N Sakeef, S Scandola, C Kennedy, C Lummer… - Computational and …, 2023 - Elsevier
In order to mitigate the effects of a changing climate, agriculture requires more effective
evaluation, selection, and production of crop cultivars in order to accelerate genotype-to …
evaluation, selection, and production of crop cultivars in order to accelerate genotype-to …
Tracking growth and decay of plant roots in minirhizotron images
A Gillert, B Peters, UF Von Lukas… - Proceedings of the …, 2023 - openaccess.thecvf.com
Plant roots are difficult to monitor and study since they are hidden belowground.
Minirhizotrons offer an in-situ monitoring solution but their widespread adoption is still …
Minirhizotrons offer an in-situ monitoring solution but their widespread adoption is still …