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Sensors Application in Agriculture
| Sensors Application in Agriculture |
| Autore | Paraforos Dimitrios S |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (228 p.) |
| Soggetto topico |
Biology, life sciences
Research & information: general Technology, engineering, agriculture |
| Soggetto non controllato |
agricultural engineering
agricultural sensors agriculture airborne spray drift autonomous robot Barents region calibration function canopy temperature capacitive soil moisture sensor cosmic-ray CRNS Data-driven agriculture date palms digital farming digitalization Drainage Pipe Mapping drift risk assessment tool dynamic vapor sorption electric weeder embedded sensors fluorescence food security food system fungal infection Ground Penetrating Radar (GPR) high-precision dryer human security hyperspectral infrared thermography inspection techniques Internet of things internet-based data acquisition intra-row IR imaging IRT ISO 11783 ISOBUS maximum temperature difference modeling neutron nitrogen fertilisation plantation management precision agriculture precision farming Real-Time Kinematic Global Navigation Satellite System (RTK/GNSS) Rear hitch position reflectance remote sensing RFID rotary harrow row following secondary tillage sedimenting spray drift sensor fusion soil erosion soil moisture soil moisture content sonar spectrometry spray drift reduction sustainability sustainable thermal tree inspection tree monitoring trees inspection trees monitoring under-vine viticulture VTA water water vapor pressure deficit weather conditions wheat wheat genotypes Wheel-based machine speed yield |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557108803321 |
Paraforos Dimitrios S
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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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Smart Sensing Technologies for Agriculture
| Smart Sensing Technologies for Agriculture |
| Autore | Adamchuk Viacheslav I |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (232 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
adaptive K-means
apparent electrical conductivity (ECa) autonomous robot body dimensions boundary-line broiler surface temperature extraction cation exchange capacity clay content convolutional neural networks crop protection cutting point detection deep learning droplet characterization elemental composition ellipse fitting feature recognition FFPH germination paper gripper harvesting robot head region locating infrared spectroscopy ion-selective electrode (ISE) Kalman filter Kd-network kinetic stereo imaging laser-induced breakdown spectroscopy law of minimum LIBS livestock lying posture machine vision mapping model predictive control moisture measurement multispectral imaging non-contact measurement on-site detection optical micro-sensors partial least squares (PLS) pH plant detection point cloud precision agriculture precision farming precision weeding principal component analysis (PCA) proximal soil sensing quantile regression quasi-3D inversion algorithm real-time measurement sandy infertile soil segmentation sensor fusion soil soil electrical resistivity soil moisture soil nitrate nitrogen (NO3−-N) soil nutrients soil testing spectroscopy standing posture thermal image processing Three-dimensional mapping transfer learning UAV willow tree X-ray fluorescence yield estimation |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557667303321 |
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Adamchuk Viacheslav I
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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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