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