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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 electronic resource (240 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
apple orchards
modeling and simulation unmanned aerial vehicles fruit ripeness ethylene gas detection 3D crop modeling remote sensing on-ground sensing depth images parameter acquisition capacitor sensor deposit mass pesticide droplets formulations ionization CFD airflow field test monitoring method spectral sensor crop growth computer vision deep learning image processing pose estimation animal detection precision livestock Citrus sinensis L. Osbeck mechanical harvesting acceleration sensor vibration time logistic regression adaptive thresholding fruit detection parameter tuning phenotype phenotyping phenomics Triticum aestivum water deficit stress infrared leaf area index cocoa beans volatile compounds artificial neural networks VitiCanopy app bushfires infrared thermography near-infrared spectroscopy smoke taint artificial intelligence Kinect sensor RGB RGB-D image segmentation colour thresholding bunch area bunch volume point cloud mesh surface reconstruction image analysis cluster morphology machine learning non-invasive sensing technologies proximal sensing precision viticulture partial least square support vector machine Gaussian processes soybean pigeon pea guar tepary bean |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557295003321 |
Fuentes Sigfredo
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment
| Implementation of Artificial Intelligence in Food Science, Food Quality, and Consumer Preference Assessment |
| Autore | Fuentes Sigfredo |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (114 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
sensory
physicochemical measurements artificial neural networks near infra-red spectroscopy wine quality machine learning modeling weather consumer acceptance prediction data fusion emotion recognition facial expression recognition galvanic skin response machine learning neural networks sensory analysis avocado cultivars preference mapping sensory evaluation sensory descriptive analysis consumer science unifloral honeys botanical origin physicochemical parameters classification natural language processing deep learning sensory science flavor lexicon long short-term memory |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566478503321 |
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Fuentes Sigfredo
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Implementation of Digital Technologies on Beverage Fermentation
| Implementation of Digital Technologies on Beverage Fermentation |
| Autore | Viejo Claudia Gonzalez |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (220 p.) |
| Soggetto topico |
Research & information: general
Biology, life sciences Technology, engineering, agriculture |
| Soggetto non controllato |
sensor networks
automation beer acceptability beer fermentation RoboBEER machine learning ultrasonic measurements long short-term memory industrial digital technologies yeast morphology automated image analysis heat stress vacuoles cell size computer vision foam stability image analysis lager beer foam retention polyphenols LC-ESI-QTOF-MS/MS HPLC medicinal plants ginger lemon mint herbal tea infusion antioxidants black pepper focus group hops Kawakawa off aromas gas sensors robotic pourer aroma thresholds climate change artificial neural networks volatile phenols glycoconjugates bushfires sparkling wine fermentation biogenic amines wine quality liquid chromatography principal component analysis augmented reality non-dairy yogurt contexts consumer acceptability emotional responses Fermentation Olea europaea respiration rate storage conditions transport TeeBot high throughput liquid handling robot metabolite analysis stochastic dynamic optimisation uncertainty |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910566460503321 |
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Viejo Claudia Gonzalez
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture / / Jiyul Chang, Sigfredo Fuentes, editors
| Methodologies Used in Remote Sensing Data Analysis and Remote Sensors for Precision Agriculture / / Jiyul Chang, Sigfredo Fuentes, editors |
| Pubbl/distr/stampa | Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 |
| Descrizione fisica | 1 online resource (226 pages) |
| Disciplina | 621.3678 |
| Soggetto topico | Remote sensing |
| ISBN | 3-0365-6615-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910683391003321 |
| Basel : , : MDPI - Multidisciplinary Digital Publishing Institute, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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