A comparison of partial least squares (PLS) and sparse PLS regressions for predicting yield of Swiss chard grown under different irrigation water sources using hyperspectral data

Computers and Electronics in Agriculture

Volumn 106, Issue , 2014, Pages 11-19

  Abdel Rahman, Elfatih M ^a,b   Mutanga, Onisimo ^a   Odindi, John ^a   Adam, Elhadi ^a   Odindo, Alfred ^a   Ismail, Riyad ^a  

^a UNIVERSITY OF KWAZULU NATAL   (South Africa)

^b UNIVERSITY OF KHARTOUM   (Sudan)

Author keywords

Hyperspectral data; Partial least squares regression; Sparse partial least squares regression; Swiss chard; Yield

Indexed keywords

CROPS; IRRIGATION; KNOWLEDGE BASED SYSTEMS; LEAST SQUARES APPROXIMATIONS; MEAN SQUARE ERROR; WATER;

HYPERSPECTRAL DATA; PARTIAL LEAST SQUARES REGRESSION; SPARSE PARTIAL LEAST SQUARES; SWISS CHARD; YIELD;

FORECASTING;

CROP YIELD; DATA SET; GROWTH RATE; IRRIGATION; NUMERICAL MODEL; REGRESSION ANALYSIS; SPECTRAL ANALYSIS; VEGETABLE; WATER RESOURCE;

SWITZERLAND;

EID: 84901839275     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.05.001     Document Type: Article

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