Random Forests modelling for the estimation of mango (Mangifera indica L. cv. Chok Anan) fruit yields under different irrigation regimes

Agricultural Water Management

Volumn 116, Issue , 2013, Pages 142-150

  Fukuda, Shinji ^a   Spreer, Wolfram ^b   Yasunaga, Eriko ^c   Yuge, Kozue ^a   Sardsud, Vicha ^d   Müller, Joachim ^b  

^a KYUSHU UNIVERSITY   (Japan)

^b UNIVERSITY OF HOHENHEIM   (Germany)

^c UNIVERSITY OF TOKYO   (Japan)

^d MAE FAH LUANG UNIVERSITY   (Thailand)

Author keywords

Data mining; Knowledge extraction; Water management; Yield estimation

Indexed keywords

AGRICULTURAL SYSTEM; DIFFERENT EFFECTS; DRY SEASONS; FRUIT DEVELOPMENT; FRUIT YIELD; HIGH YIELD; IMPORTANCE MEASURE; IRRIGATION REGIMES; KNOWLEDGE EXTRACTION; MANAGEMENT PRACTICES; MANGIFERA INDICA; MANGO TREES; MEAN VALUES; MODEL INPUTS; MODEL PERFORMANCE; NORTHERN THAILAND; RANDOM FORESTS; SWEET TASTE; TOTAL YIELD; WATER SOURCE; YIELD ESTIMATION;

AGRICULTURAL ENGINEERING; DATA MINING; DECISION TREES; ESTIMATION; INFORMATION MANAGEMENT; IRRIGATION; RAIN; WATER MANAGEMENT; WATER SUPPLY;

FRUITS;

AGRICULTURAL MANAGEMENT; CROP YIELD; DEVELOPMENTAL BIOLOGY; DRY SEASON; ECOLOGICAL MODELING; ENGINEERING; ESTIMATION METHOD; EVERGREEN TREE; FOREST ECOSYSTEM; FRUIT; IRRIGATION; MANAGEMENT PRACTICE; NUMERICAL MODEL; WATER MANAGEMENT; WATER SUPPLY;

THAILAND;

MANGIFERA INDICA;

EID: 84870294611     PISSN: 03783774     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.agwat.2012.07.003     Document Type: Article

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