|
|
|
Weihong Ma, Xiangyu Qi, Yi Sun, Ronghua Gao, Luyu Ding, Rong Wang, Cheng Peng, Jun Zhang, Jianwei Wu, Zhankang Xu, Mingyu Li, Hongyan Zhao, Shudong Huang and Qifeng Li
Acquiring phenotypic data from livestock constitutes a crucial yet cumbersome phase in the breeding process. Traditionally, obtaining livestock phenotypic data primarily involves manual, on-body measurement methods. This approach not only requires extens...
ver más
|
|
|
|
|
|
|
Roberto Besteiro, Tamara Arango, Manuel R. Rodríguez and María D. Fernández
This study characterizes the growth of weaned Large White × Landrace hybrid piglets from 6 to 20 kg live body weight (BW) under real farm conditions. Batches of 50 castrated male pigs and 50 gilts were weighed repeatedly over two 6-week breeding cycles. ...
ver más
|
|
|
|
|
|
|
Anastasios Michailidis, Chrysanthi Charatsari, Thomas Bournaris, Efstratios Loizou, Aikaterini Paltaki, Dimitra Lazaridou and Evagelos D. Lioutas
The penetration of precision agriculture technologies in agrifood systems generates the need for efficient upskilling programs targeted at farmers and other actors. A critical first step in this direction is to uncover the training needs of the actors in...
ver más
|
|
|
|
|
|
|
Carlos Alejandro Perez Garcia, Marco Bovo, Daniele Torreggiani, Patrizia Tassinari and Stefano Benni
The escalating global population and climate change necessitate sustainable livestock production methods to meet rising food demand. Precision Livestock Farming (PLF) integrates information and communication technologies (ICT) to improve farming efficien...
ver más
|
|
|
|
|
|
|
Shadi Atalla, Saed Tarapiah, Amjad Gawanmeh, Mohammad Daradkeh, Husameldin Mukhtar, Yassine Himeur, Wathiq Mansoor, Kamarul Faizal Bin Hashim and Motaz Daadoo
The Internet of Things (IoT) has the potential to revolutionize agriculture by providing real-time data on crop and livestock conditions. This study aims to evaluate the performance scalability of wireless sensor networks (WSNs) in agriculture, specifica...
ver más
|
|
|
|
|
|
|
Xiaowu Li, Kun Sun, Hongbo Fan and Zihan He
Accurate cattle pose estimation is essential for Precision Livestock Farming (PLF). Computer vision-based, non-contact cattle pose estimation technology can be applied for behaviour recognition and lameness detection. Existing methods still face challeng...
ver más
|
|
|
|
|
|
|
Piotr Golinski, Patrycja Sobolewska, Barbara Stefanska and Barbara Golinska
Maximizing annual pasture consumption without negatively impacting individual cow performance is of great importance in grass-based dairy and beef systems due to pasture being the most cost-effective nutrient source. However, the disadvantages of convent...
ver más
|
|
|
|
|
|
|
Yihu Hu, Xinying Luo, Zicheng Gao, Ao Du, Hao Guo, Alexey Ruchay, Francesco Marinello and Andrea Pezzuolo
As consumer-grade depth sensors provide an efficient and low-cost way to obtain point cloud data, an increasing number of applications regarding the acquisition and processing of livestock point clouds have been proposed. Curve skeletons are abstract rep...
ver más
|
|
|
|
|
|
|
Katarzyna Olejnik, Ewa Popiela and Sebastian Opalinski
New approach to improve welfare in the poultry sector is targeted at the precise management of animals. In poultry production, we observe that birds? health and quality of poultry products depend significantly on good welfare conditions, affecting econom...
ver más
|
|
|
|
|
|
|
Agris Nikitenko,Signe Balina,Andrejs Dubrovskis,Ilze Andersone,Ilze Birzniece
Pág. 44 - 54
The presented work proposes a practical approach to bird weight data processing and augmentation to enable production outcome forecast model training, which contributes to higher productivity. We suggest using the parametrized model, where parameter valu...
ver más
|
|
|
|