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Probabilistic description of crop development and irrigation water requirements with stochastic rainfall
Author(s) -
Vico Giulia,
Porporato Amilcare
Publication year - 2013
Publication title -
water resources research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.863
H-Index - 217
eISSN - 1944-7973
pISSN - 0043-1397
DOI - 10.1002/wrcr.20134
Subject(s) - irrigation , probabilistic logic , key (lock) , probability density function , agricultural engineering , environmental science , markov process , yield (engineering) , water resource management , mathematics , hydrology (agriculture) , computer science , statistics , agronomy , engineering , geotechnical engineering , materials science , computer security , metallurgy , biology
Key Points Crop development and irrigation are idealized as dichotomic Markov processes Probability density functions of yield and irrigation are obtained analytically They are a tool for decision making under uncertainty