Practices and applications of convolutional neural network-based computer vision systems in animal farming: A review
Convolutional neural network (CNN)-based computer vision systems have been
increasingly applied in animal farming to improve animal management, but current …
increasingly applied in animal farming to improve animal management, but current …
Computer vision and deep learning for precision viticulture
During the last decades, researchers have developed novel computing methods to help
viticulturists solve their problems, primarily those linked to yield estimation of their crops …
viticulturists solve their problems, primarily those linked to yield estimation of their crops …
An automatic classifier for monitoring applied behaviors of cage-free laying hens with deep learning
Poultry behavior is an important indicator of their welfare, health, and production
performance. The welfare of layers and broilers such as walking ability, breast blisters, hock …
performance. The welfare of layers and broilers such as walking ability, breast blisters, hock …
Modified transfer learning frameworks to identify potato leaf diseases
Potato diseases such as early and late blight are the most lethal diseases that can cause
significant damage to potato production. Detecting these diseases early and making a …
significant damage to potato production. Detecting these diseases early and making a …
Deep learning-based intelligent apple variety classification system and model interpretability analysis
F Yu, T Lu, C Xue - Foods, 2023 - mdpi.com
In this study, series networks (AlexNet and VGG-19) and directed acyclic graph (DAG)
networks (ResNet-18, ResNet-50, and ResNet-101) with transfer learning were employed to …
networks (ResNet-18, ResNet-50, and ResNet-101) with transfer learning were employed to …
An improved approach to detection of rice leaf disease with gan-based data augmentation pipeline
Y Haruna, S Qin, MJ Mbyamm Kiki - Applied Sciences, 2023 - mdpi.com
The lack of large balanced datasets in the agricultural field is a glaring problem for
researchers and developers to design and train optimal deep learning models. This paper …
researchers and developers to design and train optimal deep learning models. This paper …
Fast covid-19 versus h1n1 screening using optimized parallel inception
COVID-19 and swine-origin influenza A (H1N1) are both pandemics that sparked significant
concern worldwide. Since these two diseases have common symptoms, a fast COVID-19 …
concern worldwide. Since these two diseases have common symptoms, a fast COVID-19 …
AgroLens: A low-cost and green-friendly Smart Farm Architecture to support real-time leaf disease diagnostics
Agriculture is one of the most significant global economic activities responsible for feeding
the world population of 7.75 billion. However, weather conditions and diseases impact …
the world population of 7.75 billion. However, weather conditions and diseases impact …
Apple Varieties Classification Using Deep Features and Machine Learning
Having the advantages of speed, suitability and high accuracy, computer vision has been
effectively utilized as a non-destructive approach to automatically recognize and classify …
effectively utilized as a non-destructive approach to automatically recognize and classify …
An automated framework for plant detection based on deep simulated learning from drone imagery
Traditional mapping and monitoring of agricultural fields are expensive, laborious, and may
contain human errors. Technological advances in platforms and sensors, followed by …
contain human errors. Technological advances in platforms and sensors, followed by …