Application of artificial neural networks to predict the final fruit weight and random forest to select important variables in native population of melon (Cucumis melo. Pahlavan)

Scientia Horticulturae

Volumn 181, Issue , 2015, Pages 108-112

  Naroui Rad, Mohammad Reza ^a   Koohkan, Shirali ^a   Fanaei, Hamid Reza ^a   Pahlavan Rad, Mohammad Reza ^a  

^a Agriculture and Natural Resources Research Center of Sistan   (Iran)

Author keywords

Artificial neural network (ANN); Fruit weight; Melon; Model; Random forest; Sistan

Indexed keywords

AGRONOMY; ARTIFICIAL NEURAL NETWORK; CROP YIELD; CULTIVAR; FRUIT; HORTICULTURE; NATIVE SPECIES; PHENOLOGY; WEIGHT;

CUCUMIS; CUCUMIS MELO;

EID: 84911870584     PISSN: 03044238     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.scienta.2014.10.025     Document Type: Article

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