| 000 | 02709nam a2200325 i 4500 | ||
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| 003 | CSPC | ||
| 005 | 20240301091157.0 | ||
| 008 | 240301s2022 ph a mb 000 0 eng d | ||
| 040 |
_cCSPC _aCSPC _beng |
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| 090 | _aUTH BSECE Ar12d 2022 | ||
| 100 | 1 |
_aArales, John Rey O., _eauthor. |
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| 245 | 1 | 0 |
_aDevelopment of a multispectral imaging acquisition system : _ba proof of concept / _cJohn Rey O. Arales [and 4 others]. |
| 300 | _a97 leaves | ||
| 336 |
_atext _2rdacontent |
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| 337 |
_aunmediated _2rdamedia |
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_avolume _2rdacarrier |
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| 502 |
_aUndergraduate Theses (BSECE) - Electronics Engineering. _cCamarines Sur Polytechnic Colleges, 2022. |
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| 504 | _aIncludes bibliographical references. | ||
| 520 | 3 | _aModern imaging technologies have had a profound effect on the study of yield estimation and plant disease detection. Multispectral images have great potential to assess plant growth and represent a significant technological advance in the search for fast and non-destructive analysis techniques. The researchers developed a multispectral imaging acquisition system that can determine plant health. The device utilized a multispectral camera to process images, generate both manual and automatic NoIR and NDVI data, and create orthomosaics. The NoIR images are those captured with infrared light, and the acquired image will be processed to obtain NDVI. The NDVI is a numerical indicator that uses the electromagnetic spectrum's visible and near-infrared bands to assess plant health. This requires capturing aerial images to acquire a large area of farmland and forests. The researchers utilized the concept of the Kite Aerial Photography (KAP), which is cost-effective, as an alternative to drone technology. Field testing resulted to photos taken from a high vantage point allowing familiar landscapes to be captured from a unique viewpoint while still being easily recognized. Developing this device is intended to improve crop inspection and precision agriculture for farmers and foresters, reducing the cost and operation of mapping and monitoring medium- to large-sized areas. The project was realized by introducing this technology, enabling to map an area at a low cost. | |
| 700 | 1 |
_aFrancisco, Jeffrey H., _eauthor |
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| 700 | 1 |
_aPatingo, Glorie Mae P., _eauthor |
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| 700 | 1 |
_aPerfecto, Eunele M., _eauthor |
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| 700 | 1 |
_aSuarez, Yentl Bonnevie O., _eauthor |
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| 720 | 1 |
_aCerillo, Jose Eduardo B. II, _eproject adviser |
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| 720 | 1 |
_aTabal, Keith Marlon R., _echair, panelist |
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| 720 | 1 |
_aIsaac, Victor Solito Dr., _epanelist |
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| 720 | 1 |
_aTerano, Harold Jan R., _epanelist |
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| 942 |
_2ddc _n0 _cUM _hAr12d _iBSECE _kUTH _m2022 |
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_c27081 _d27081 |
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