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 | ||
| ||
Dairy Sector: Opportunities and Sustainability Challenges
| Dairy Sector: Opportunities and Sustainability Challenges |
| Autore | Bhat Rajeev |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (256 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
dairy
water review modelling water footprint agriculture feed additive methane mitigation enteric emissions greenhouse gas climate change LCA environmental impacts intensification technical efficiency four-component model endogeneity input distance function meta-frontier stochastic frontier analysis dairy processing industry European Union proanthocyanidins condensed tannins secondary plant metabolites methane ruminants farm organization governance adoption agroecology practices regulation Brazil ammonia emissions dairy cow flushing freestall barn scraping heat pump dairy farming water heater ASHP ASHPWH usable water emissions sustainability farm type sustainable management small-/medium-scale animal farms food science customer experience design food well-being food psychology hedonia eudaimonia meaningful consumption artisan products local food profit cows economic sustainability knowledge transfer production disease production disease economics emission factor enteric fermentation gross energy milking cows dairy industry supply chain management safety failure factors interpretive structural modeling MICMAC analysis agro-livestock sector GHG emissions |
| ISBN | 3-0365-3869-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Dairy Sector |
| Record Nr. | UNINA-9910639998303321 |
|
Bhat Rajeev
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Nanotechnology in Animal Science
| Nanotechnology in Animal Science |
| Autore | González-Bulnes Antonio |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (262 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
artificial-insemination
GnRH nanotechnology ovulation rabbit endometritis cell receptors signaling pathways PAMP biomolecules cytokines nanotherapy dairy cow nanosystem biofilm mastitis pathogens bovine mastitis silver nanoparticles copper nanoparticles silver-copper complex nanominerals manufacturing bioavailability hazards health livestock nano-delivery system reproductive management bio stimulation nutrition hormones antibiotics reproductive diseases biotechnology toxicity aquaculture poultry antibacterial antibiotic mechanisms reactive oxygen species zinc oxide nanoparticles zeolite nano-zeolite in vitro gas production digestibility goat methane emission clay minerals Spirulina maxima pectin nanoparticles porcine embryos development prolactin sodium alginate egg production qPCR chickens Staphylococcus pseudintermedius wound infection antimicrobial resistance alternative antimicrobial agent scar reduction Salmonella antimicrobial agents virulence genes resistance genes expression antioxidant cell internalization chitosan nanoparticles everted intestine lipoic acid Moringa encapsulation reproduction milk fatty acid immunoglobulins nanodelivery system GPG estrous synchronization blood flow ovary |
| ISBN | 3-0365-5946-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910639985403321 |
|
González-Bulnes Antonio
|
||
| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||