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.
Emerging Sensor Technology in Agriculture
| Emerging Sensor Technology in Agriculture |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (240 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
3D crop modeling
acceleration sensor adaptive thresholding airflow field test animal detection apple orchards artificial intelligence artificial neural networks bunch area bunch volume bushfires capacitor sensor CFD Citrus sinensis L. Osbeck cluster morphology cocoa beans colour thresholding computer vision crop growth deep learning deposit mass depth images ethylene gas detection formulations fruit detection fruit ripeness Gaussian processes guar image analysis image processing image segmentation infrared infrared thermography ionization Kinect sensor leaf area index logistic regression machine learning mechanical harvesting mesh modeling and simulation monitoring method n/a near-infrared spectroscopy non-invasive sensing technologies on-ground sensing parameter acquisition parameter tuning partial least square pesticide droplets phenomics phenotype phenotyping pigeon pea point cloud pose estimation precision livestock precision viticulture proximal sensing remote sensing RGB RGB-D smoke taint soybean spectral sensor stress support vector machine surface reconstruction tepary bean Triticum aestivum unmanned aerial vehicles vibration time VitiCanopy app volatile compounds water deficit |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295003321 |
Fuentes Sigfredo
|
||
| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| 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 | ||
| ||