Modeling and prediction of CO2 exchange response to environment for small sample size in cucumber

Computers and Electronics in Agriculture

Volumn 108, Issue , 2014, Pages 39-45

  Zhang, Jing ^a   Jiang, Zhaohui ^a   Wang, Chunsheng ^a   Yang, Chunhe ^a  

^a ANHUI AGRICULTURAL UNIVERSITY   (China)

Author keywords

Artificial neural network; Crop model; Factor analysis; Small sample size

Indexed keywords

CROPS; FACE RECOGNITION; FACTOR ANALYSIS; GENETIC ALGORITHMS; MULTIVARIANT ANALYSIS; NEURAL NETWORKS; REGRESSION ANALYSIS; BACKPROPAGATION ALGORITHMS; CARBON DIOXIDE; TORSIONAL STRESS;

BACK PROPAGATION NEURAL NETWORKS; CROP MODEL; ENVIRONMENTAL CHARACTERISTIC; INDEPENDENT VARIABLES; MODELING AND PREDICTIONS; PHYSIOLOGICAL CHARACTERISTICS; RESPONSE TO ENVIRONMENT; SMALL SAMPLE SIZE;

CARBON DIOXIDE; FACTOR ANALYSIS;

AIR TEMPERATURE; ARTIFICIAL NEURAL NETWORK; CARBON CYCLE; CLIMBING PLANT; ECOLOGICAL MODELING; ENVIRONMENTAL FACTOR; FACTOR ANALYSIS; GENETIC ALGORITHM; GROWTH RATE; NUMERICAL MODEL; RELATIVE HUMIDITY; ACCURACY ASSESSMENT; CARBON DIOXIDE; OPTIMIZATION; VEGETABLE;

CUCUMIS SATIVUS;

EID: 84904867964     PISSN: 01681699     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compag.2014.06.012     Document Type: Article

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