| 000 | 04012naaaa2201165uu 4500 | ||
|---|---|---|---|
| 001 | https://directory.doabooks.org/handle/20.500.12854/68954 | ||
| 005 | 20220220041925.0 | ||
| 020 | _abooks978-3-03936-689-7 | ||
| 020 | _a9783039366880 | ||
| 020 | _a9783039366897 | ||
| 024 | 7 |
_a10.3390/books978-3-03936-689-7 _cdoi |
|
| 041 | 0 | _aEnglish | |
| 042 | _adc | ||
| 072 | 7 |
_aTBX _2bicssc |
|
| 100 | 1 |
_aAdamchuk, Viacheslav _4edt |
|
| 700 | 1 |
_aSudduth, Kenneth _4edt |
|
| 700 | 1 |
_aBiswas, Asim _4edt |
|
| 700 | 1 |
_aAdamchuk, Viacheslav _4oth |
|
| 700 | 1 |
_aSudduth, Kenneth _4oth |
|
| 700 | 1 |
_aBiswas, Asim _4oth |
|
| 245 | 1 | 0 | _aSmart Sensing Technologies for Agriculture |
| 260 |
_aBasel, Switzerland _bMDPI - Multidisciplinary Digital Publishing Institute _c2020 |
||
| 300 | _a1 electronic resource (232 p.) | ||
| 506 | 0 |
_aOpen Access _2star _fUnrestricted online access |
|
| 520 | _a“Smart Sensing Technologies for Agriculture” is a Special Issue of Sensors that includes 14 research papers on diverse topics about the measurement of physical, chemical, and biological characteristics of soil, plants, and animals related to modern farming practices. | ||
| 540 |
_aCreative Commons _fhttps://creativecommons.org/licenses/by/4.0/ _2cc _4https://creativecommons.org/licenses/by/4.0/ |
||
| 546 | _aEnglish | ||
| 650 | 7 |
_aHistory of engineering & technology _2bicssc |
|
| 653 | _amoisture measurement | ||
| 653 | _aKalman filter | ||
| 653 | _amodel predictive control | ||
| 653 | _agermination paper | ||
| 653 | _aconvolutional neural networks | ||
| 653 | _alivestock | ||
| 653 | _alying posture | ||
| 653 | _astanding posture | ||
| 653 | _aThree-dimensional mapping | ||
| 653 | _aquasi-3D inversion algorithm | ||
| 653 | _acation exchange capacity | ||
| 653 | _aclay content | ||
| 653 | _asandy infertile soil | ||
| 653 | _aoptical micro-sensors | ||
| 653 | _acrop protection | ||
| 653 | _aprecision agriculture | ||
| 653 | _ainfrared spectroscopy | ||
| 653 | _aprincipal component analysis (PCA) | ||
| 653 | _apartial least squares (PLS) | ||
| 653 | _adroplet characterization | ||
| 653 | _aapparent electrical conductivity (ECa) | ||
| 653 | _apH | ||
| 653 | _aUAV | ||
| 653 | _aboundary-line | ||
| 653 | _aquantile regression | ||
| 653 | _alaw of minimum | ||
| 653 | _aon-site detection | ||
| 653 | _aion-selective electrode (ISE) | ||
| 653 | _asoil nitrate nitrogen (NO3−-N) | ||
| 653 | _asoil moisture | ||
| 653 | _asensor fusion | ||
| 653 | _atransfer learning | ||
| 653 | _adeep learning | ||
| 653 | _abody dimensions | ||
| 653 | _apoint cloud | ||
| 653 | _aKd-network | ||
| 653 | _afeature recognition | ||
| 653 | _aFFPH | ||
| 653 | _anon-contact measurement | ||
| 653 | _aX-ray fluorescence | ||
| 653 | _aspectroscopy | ||
| 653 | _asoil nutrients | ||
| 653 | _aproximal soil sensing | ||
| 653 | _asoil testing | ||
| 653 | _alaser-induced breakdown spectroscopy | ||
| 653 | _aLIBS | ||
| 653 | _aelemental composition | ||
| 653 | _abroiler surface temperature extraction | ||
| 653 | _athermal image processing | ||
| 653 | _ahead region locating | ||
| 653 | _aadaptive K-means | ||
| 653 | _aellipse fitting | ||
| 653 | _aharvesting robot | ||
| 653 | _agripper | ||
| 653 | _asegmentation | ||
| 653 | _acutting point detection | ||
| 653 | _asoil | ||
| 653 | _asoil electrical resistivity | ||
| 653 | _aautonomous robot | ||
| 653 | _areal-time measurement | ||
| 653 | _aprecision farming | ||
| 653 | _amapping | ||
| 653 | _aprecision weeding | ||
| 653 | _amultispectral imaging | ||
| 653 | _akinetic stereo imaging | ||
| 653 | _aplant detection | ||
| 653 | _ayield estimation | ||
| 653 | _amachine vision | ||
| 653 | _awillow tree | ||
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://mdpi.com/books/pdfview/book/2722 _70 _zDOAB: download the publication |
| 856 | 4 | 0 |
_awww.oapen.org _uhttps://directory.doabooks.org/handle/20.500.12854/68954 _70 _zDOAB: description of the publication |
| 999 |
_c64690 _d64690 |
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