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Applications of Remote Image Capture System in Agriculture
| Applications of Remote Image Capture System in Agriculture |
| Autore | Molina Martínez José Miguel |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (310 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
3D model
aerial photography agricultural robot agriculture Agriculture 4.0 andosols applications artificial intelligence automatic tomato harvesting banana plantation berries counting budding rate Cabernet Sauvignon canopy temperature classification performance coffee leaf rust convolutional neural network decision making deep learning digital agriculture digital image correlation Dilated CNN failure strain fertirrigation finite element method Fourth Industrial Revolution frequency-domain reflectometry geometric consistency grape yield estimate greenhouse Hill-Tsai failure criterion ICP image processing land use large-scale low-cost thermography machine learning machine learning algorithms machine learning regression mixed pixels moisture sensors n/a NDVI non-transpiration baseline non-water-stressed baselines normalized difference vegetation index Normalized Difference Vegetation Index normalized difference water index online operation optimization algorithm Panama TR4 Parrot Sequoia pasture quality index point clouds precision agriculture precision viticulture Prunus avium L. radiometric consistency randomizable filtered classifier reference evapotranspiration reflectance maps remote images remote sensing sandstone segmentation Sentinel-2 soil moisture spatial vision spectrometry stem water potential supplementation SVM systematic mapping study teaching-learning thermal indexes total leaf area U-Net UAV vegetation indices water stress winter wheat mapping |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557895803321 |
Molina Martínez José Miguel
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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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Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging
| Novel Techniques to Measure the Sensory, Emotional, and Physiological (Biometric) Responses of Consumers toward Foods and Packaging |
| Autore | Torrico Damir |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 online resource (180 p.) |
| Soggetto topico | Psychology |
| Soggetto non controllato |
acceptability
alternative protein source approach-avoidance Approach-Avoidance Task (AAT) arousal beef beer consumption beer styles biometrics branding Cabernet Sauvignon check-all-that-apply chocolate chocolate products Cochran's Q test conscious consumer context correspondence analysis ecological validity emojis emotions energy drinks entomophagy EsSense profile® ethnic facial expressions familiarity food images happiness home-use test hordenine immersive environments implicit measure jambalaya linear model mobile phone n/a neophobia online auction plant purchase intention RPPG and PPG heart rate self-report sensory analysis soy sauce unconscious valence virtual reality wanting wine |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti | Novel Techniques to Measure the Sensory, Emotional, and Physiological |
| Record Nr. | UNINA-9910557331503321 |
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Torrico Damir
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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