Application of artificial neural networks for irrigation control
Keyword(s):
Modern methods of precision farming, based on the requirements of the spatio-temporal optimality of irrigation of agricultural crops, require new approaches, since achieving the required accuracy is impossible without the use of modern digital technologies and intelligent methods. The article presents a model of operational irrigation management based on an artificial neural network. The advantage is the small error of the neural network algorithm and its ability to adapt to changing conditions, in contrast to traditional methods, which makes it possible to provide optimal results for different types of soils and types of crops.
2015 ◽
Vol 792
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pp. 312-316
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1991 ◽
Vol 45
(10)
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pp. 1706-1716
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Keyword(s):
2016 ◽
Vol 38
(2)
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pp. 37-46
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2014 ◽
Vol 38
(6)
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pp. 1681-1693
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Keyword(s):