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دسته بندی:
سیستم های خبره - expert systems
سال انتشار:
2019
عنوان انگلیسی مقاله:
Prediction of irrigation event occurrence at farm level using optimal decision trees
ترجمه فارسی عنوان مقاله:
پیش بینی وقوع رویداد آبیاری در سطح مزرعه با استفاده از درختان تصمیم بهینه
منبع:
Sciencedirect - Elsevier - Computers and Electronics in Agriculture, 157 (2019) 173-180: doi:10:1016/j:compag:2018:12:043
نویسنده:
R. González Perea⁎, E. Camacho Poyato, P. Montesinos, J.A. Rodríguez Díaz
چکیده انگلیسی:
Irrigation water demand is highly variable and depends on farmers’ decision about when to irrigate. Their
decision affects the performance of the irrigation networks. An accurate daily prediction of irrigation events
occurrence at farm scale is a key factor to improve the management of the irrigation districts and consequently
the sustainability of the irrigated agriculture. In this work, a hybrid heuristic methodology that combines
Decision Trees and Genetic Algorithm has been developed to find the optimal decision tree to model farmer’s
behaviour, predicting the occurrence of irrigation events. The methodology has been tested in a real irrigation
district and results showed that the optimal models developed have been able to predict between 68% and 100%
of the positive irrigation events and between 93% and 100% of the negative irrigation events.
Keywords: Artificial intelligence | Multiobjective genetic algorithm | Irrigation scheduling | Expert systems
قیمت: رایگان
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