Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming
| Advances in Sensors, Big Data and Machine Learning in Intelligent Animal Farming |
| Autore | Qiao Yongliang |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico |
History of engineering & technology
Technology: general issues |
| Soggetto non controllato |
absorbing Markov chain
additive manufacturing animal behaviour animal farming animal science animal telemetry animal-centered design audio automated medical image processing body size cascaded model class-balanced focal loss commercial aviary computational ethology computer vision convolutional neural network cow cow behavior analysis cow identification CT scans dairy cow dairy welfare deep learning deep neural network design contributions EfficientDet equine behavior estimation extensive livestock false registrations forage management generative adversarial network group-housed pigs hierarchical clustering instance segmentation intermodality interaction jaw movement laying hens low-frequency tracking machine learning mask scoring R-CNN mastication modularity monitoring mutual information parturition prediction pig identification pig weight precision livestock farming precision livestock management prediction of calving time radar sensors radar signal processing sensorized wearable device signal classification smart collar soft-NMS time budgets tree-based classifier unsupervised machine learning wavelet analysis wearable sensor wearables design YOLACT++ |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576879803321 |
Qiao Yongliang
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Precision Poultry Farming
| Precision Poultry Farming |
| Autore | Zhao Yang |
| Pubbl/distr/stampa | Basel, : MDPI Books, 2022 |
| Descrizione fisica | 1 electronic resource (176 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Animals & society |
| Soggetto non controllato |
broiler
activity index time interval age image processing poultry cage-free preening behavior mask R-CNN residual network broiler chicken machine vision image restoring precision poultry farming feeding system pecking force precision livestock farming poultry farming information management cloud database disease detection acoustic audio frequency behavior image analysis animal welfare movement analysis LED comfort index manure area manure coverage proportion environment control ammonia emission layer house laying hen daily behavior machine learning inertia sensor walking ability animal behavior precision livestock PLF precise feeding ideal protein animal health immune system productive parameters management |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910595076003321 |
|
Zhao Yang
|
||
| Basel, : MDPI Books, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||