| 000 | 03572nam a22006015i 4500 | ||
|---|---|---|---|
| 001 | 978-981-97-6441-9 | ||
| 003 | DE-He213 | ||
| 005 | 20251030112915.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 240827s2024 si | s |||| 0|eng d | ||
| 020 |
_a9789819764419 _9978-981-97-6441-9 |
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| 024 | 7 |
_a10.1007/978-981-97-6441-9 _2doi |
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| 050 | 4 | _aTJ210.2-211.495 | |
| 072 | 7 |
_aTJFM1 _2bicssc |
|
| 072 | 7 |
_aTEC037000 _2bisacsh |
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| 072 | 7 |
_aTJFM1 _2thema |
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| 245 | 1 | 0 |
_aAdvanced Sensing and Robotics Technologies in Smart Agriculture _h[electronic resource] / _cedited by Yuliang Yun, Wenyi Sheng, Zhao Zhang. |
| 250 | _a1st ed. 2024. | ||
| 264 | 1 |
_aSingapore : _bSpringer Nature Singapore : _bImprint: Springer, _c2024. |
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| 300 |
_aVII, 175 p. 77 illus., 60 illus. in color. _bonline resource. |
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| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bc _2rdamedia |
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| 338 |
_aonline resource _bcr _2rdacarrier |
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| 347 |
_atext file _bPDF _2rda |
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| 490 | 1 |
_aSmart Agriculture, _x2731-3484 ; _v9 |
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| 505 | 0 | _aResearch Progress on Seed Appearance Recognition for Major Crops -- A review of corn growth status sensing methods -- Greenhouse Phenotyping Measurement Techniques and Systems: A Review -- On-site Intelligent Grading System for Fruits and Vegetables: Case Studies on Tomato and Apple -- Recent advances in intelligent harvesting robots -- Infield honeysuckle detection based on improved YOLOv5s under natural lighting -- Multiscale wheat lodging parameter detection based on MobilenetV3. | |
| 520 | _aThis book specifically focuses on state-of-the-art advanced sensing and robotic techniques in smart agriculture and comprehensively describes the new knowledge. Significant agricultural technology progress in advanced sensing and robotics technology has been made recently, which has transformed the conventional agriculture to smart and digital agriculture It provides readers take-away knowledge for seed quality detection, specialty crop harvest and sorting robotics, new sensing method for crop nutrient status, and broadband soil dielectric permittivity measurements. All these new technologies have been developed, tested, or practically applied. It is a useful reference for readers in the field of smart agriculture and agriculture robotics. | ||
| 650 | 0 |
_aRobotics. _959148 |
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| 650 | 0 |
_aAgriculture. _968079 |
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| 650 | 0 | _aMaterials. | |
| 650 | 0 |
_aDetectors. _966510 |
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| 650 | 0 | _aImage processing. | |
| 650 | 1 | 4 |
_aRobotic Engineering. _966064 |
| 650 | 2 | 4 |
_aAgriculture. _968079 |
| 650 | 2 | 4 |
_aSensors and biosensors. _966512 |
| 650 | 2 | 4 | _aImage Processing. |
| 700 | 1 |
_aYun, Yuliang. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _982994 |
|
| 700 | 1 |
_aSheng, Wenyi. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _982995 |
|
| 700 | 1 |
_aZhang, Zhao. _eeditor. _0(orcid)0000-0001-6353-4067 _1https://orcid.org/0000-0001-6353-4067 _4edt _4http://id.loc.gov/vocabulary/relators/edt _981851 |
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| 773 | 0 | _tSpringer Nature eBook | |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819764402 |
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_iPrinted edition: _z9789819764426 |
| 776 | 0 | 8 |
_iPrinted edition: _z9789819764433 |
| 830 | 0 |
_aSmart Agriculture, _x2731-3484 ; _v9 _981856 |
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| 856 | 4 | 0 | _uhttps://doi.org/10.1007/978-981-97-6441-9 |
| 912 | _aZDB-2-INR | ||
| 912 | _aZDB-2-SXIT | ||
| 999 |
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