DFN-PSAN: Multi-level deep information feature fusion extraction network for interpretable plant disease classification

G Dai, Z Tian, J Fan, CK Sunil, C Dewi - Computers and Electronics in …, 2024 - Elsevier
Accurate identification of crop diseases is an effective way to promote the development of
intelligent and modernized agricultural production, as well as to reduce the use of pesticides …

On-ramp and Off-ramp Traffic Flows Estimation Based on A Data-driven Transfer Learning Framework

X Ma, A Karimpour, YJ Wu - arXiv preprint arXiv:2308.03538, 2023 - arxiv.org
To develop the most appropriate control strategy and monitor, maintain, and evaluate the
traffic performance of the freeway weaving areas, state and local Departments of …

Sam for poultry science

X Yang, H Dai, Z Wu, R Bist, S Subedi, J Sun… - arXiv preprint arXiv …, 2023 - arxiv.org
In recent years, the agricultural industry has witnessed significant advancements in artificial
intelligence (AI), particularly with the development of large-scale foundational models …

Computer vision in chicken monitoring system using machine learning: A general review

E Supriyanto, RR Isnanto… - E3S Web of …, 2023 - e3s-conferences.org
The chicken monitoring in closed cages is vital in welfare assessment and management of
health factors. Computer vision can be relied upon for real-time automation of chicken health …

A Causal Inference Approach to Eliminate the Impacts of Interfering Factors on Traffic Performance Evaluation

X Ma, A Karimpour, YJ Wu - arXiv preprint arXiv:2308.03545, 2023 - arxiv.org
Before and after study frameworks are widely adopted to evaluate the effectiveness of
transportation policies and emerging technologies. However, many factors such as seasonal …

Beyond the Spectrum: Unleashing the Potential of Infrared Radiation in Poultry Industry Advancements

K Hayat, Z Ye, H Lin, J Pan - Animals, 2024 - mdpi.com
Simple Summary The poultry industry is advancing through a focus on nutrition,
management practices, and technology to enhance productivity by improving feed …

[HTML][HTML] Chicken tracking and individual bird activity monitoring using the bot-sort algorithm

ALR Siriani, IBC Miranda, SA Mehdizadeh, DF Pereira - AgriEngineering, 2023 - mdpi.com
The analysis of chicken movement on the farm has several applications in evaluating the
well-being and health of birds. Low locomotion may be associated with locomotor problems …

[HTML][HTML] Assessment of Preference Behavior of Layer Hens under Different Light Colors and Temperature Environments in Long-Time Footage Using a Computer …

V Kodaira, ALR Siriani, HP Medeiros, DJ De Moura… - Animals, 2023 - mdpi.com
Simple Summary Preference behavior can be an important indicator of animal welfare. The
effects of different wavelengths of light on laying hens are not completely known. We …

[HTML][HTML] Automatic detection of bumblefoot in cage-free hens using computer vision technologies

RB Bist, X Yang, S Subedi, L Chai - Poultry Science, 2024 - Elsevier
Cage-free (CF) housing systems are expected to be the dominant egg production system in
North America and European Union countries by 2030. Within these systems, bumblefoot (a …

Mask YOLOv7-based drone vision system for automated cattle detection and counting

RW Bello, MA Oladipo - Bello, R.-W., & Oladipo, MA.(2024). Mask …, 2024 - papers.ssrn.com
Conventional method of counting animals is one of the most challenging tasks in livestock
management; moreover, counting of animals in drone acquired imagery though promising …