A new approach to predict N, P, K and OM content in a loamy mixed soil by using near infrared reflectance spectroscopy

Lecture Notes in Computer Science

Volumn 3644, Issue PART I, 2005, Pages 859-867

  He, Yong ^a   Song, Haiyan ^a   Pereira, Annia García ^a,b   Gómez, Antihus Hernández ^a,b  

^a ZHEJIANG UNIVERSITY   (China)

^b Havana Agricultural University   (Cuba)

Author keywords

[No Author keywords available]

Indexed keywords

INFRARED SPECTROSCOPY; LEAST SQUARES APPROXIMATIONS; LIGHT REFLECTION; NITROGEN; PHOSPHORUS; POTASSIUM; REGRESSION ANALYSIS; SOIL MECHANICS; SOILS; FERTILIZERS; FORECASTING; INTELLIGENT COMPUTING; MANURES; NEAR INFRARED SPECTROSCOPY; REFLECTION;

LOAMY MIXED SOILS; NEAR INFRARED REFLECTANCE (NIR) SPECTROSCOPY; PARTIAL LEAST SQUARE REGRESSION (PLSR) TECHNIQUE; SOIL SAMPLES; ATTENUATION; CAMO; CORN; NEAR INFRARED REFLECTANCE SPECTROSCOPY; NIR SPECTROSCOPY; PARTIAL LEAST-SQUARE REGRESSION TECHNIQUES; PRECISION FARMING;

METAL ANALYSIS; INFRARED DEVICES;

EID: 27144476160     PISSN: 03029743     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1007/11538059_89     Document Type: Conference Paper

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