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 …

Deep Learning Methods for Tracking the Locomotion of Individual Chickens

X Yang, RB Bist, B Paneru, L Chai - Animals, 2024 - mdpi.com
Simple Summary Poultry locomotion is an important indicator of animal health, welfare, and
productivity. This research introduced an innovative approach that employs an enhanced …

Individual Tree Species Identification for Complex Coniferous and Broad-Leaved Mixed Forests Based on Deep Learning Combined with UAV LiDAR Data and RGB …

H Zhong, Z Zhang, H Liu, J Wu, W Lin - Forests, 2024 - mdpi.com
Automatic and accurate individual tree species identification is essential for the realization of
smart forestry. Although existing studies have used unmanned aerial vehicle (UAV) remote …

YOLOv1 to YOLOv10: A comprehensive review of YOLO variants and their application in the agricultural domain

MAR Alif, M Hussain - arXiv preprint arXiv:2406.10139, 2024 - arxiv.org
This survey investigates the transformative potential of various YOLO variants, from YOLOv1
to the state-of-the-art YOLOv10, in the context of agricultural advancements. The primary …

[HTML][HTML] Monitoring Activity Index and Behaviors of Cage-free Hens with Advanced Deep Learning Technologies: An Automated Chicken Activity Tracker

X Yang, R Bist, B Paneru, L Chai - Poultry Science, 2024 - Elsevier
Chickens' behaviors and activities are important information for managing animal health and
welfare in commercial poultry houses. In this study, convolutional neural networks (CNNs) …

Public Computer Vision Datasets for Precision Livestock Farming: A Systematic Survey

A Bhujel, Y Wang, Y Lu, D Morris, M Dangol - arXiv preprint arXiv …, 2024 - arxiv.org
Technology-driven precision livestock farming (PLF) empowers practitioners to monitor and
analyze animal growth and health conditions for improved productivity and welfare …

RVDR-YOLOv8: A Weed Target Detection Model Based on Improved YOLOv8

Y Ding, C Jiang, L Song, F Liu, Y Tao - Electronics, 2024 - mdpi.com
Currently, weed control robots that can accurately identify weeds and carry out removal work
are gradually replacing traditional chemical weed control techniques. However, the …

Realism in Action: Anomaly-Aware Diagnosis of Brain Tumors from Medical Images Using YOLOv8 and DeiT

SMH Hashemi, L Safari, AD Taromi - arXiv preprint arXiv:2401.03302, 2024 - arxiv.org
In the field of medical sciences, reliable detection and classification of brain tumors from
images remains a formidable challenge due to the rarity of tumors within the population of …

Modelo del Efecto de la Relación Carbono/Nitrógeno de los Residuos Orgánicos Urbanos en la Calidad de la Composta

A DE ANDA TRASVIÑA - 2024 - dspace.cibnor.mx
" Aproximadamente el 50% de los residuos sólidos urbanos que se generan en las
ciudades son orgánicos (ROU) se componen principalmente de restos de alimentos y de …

Modelo del Efecto de la Relación Carbono/Nitrógeno de los Residuos Orgánicos Urbanos en la Calidad de la Composta

AMDEA TRASVIÑA - 2024 - cibnor.repositorioinstitucional.mx
" Aproximadamente el 50% de los residuos sólidos urbanos que se generan en las
ciudades son orgánicos (ROU) se componen principalmente de restos de alimentos y de …