Diagnosing of rice nitrogen stress based on static scanning technology and image information extraction
At present, the identifying of rice nitrogen stress by the chemical analysis is time-consuming and laborious. Machine vision technology can be used to non-destructively and rapidly identify rice nitrogen status, but image acquisition via digital camera is vulnerable to external conditions, and the i...
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Autores principales: | , |
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Lenguaje: | English |
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Chilean Society of Soil Science / Sociedad Chilena de la Ciencia del Suelo
2014
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Materias: | |
Acceso en línea: | http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-95162014000200010 |
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