A new alternative to determine weed control in agricultural systems based on artificial neural networks (ANNs)

Field Crops Research(2021)

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摘要
•The use of RNAs was tested to estimate the beginning of weed control considering model crops.•The ANN-MLP models were efficient in determining the ideal moment for weed control.•RNAs allow us to estimate the beginning of weed control.•Combined non-destructive and destructive entries do not require other, more specific entries.•The period is the main factor that interferes with the degree of weed interference in sesame and melon.
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关键词
Weed interference,Artificial intelligence,Modeling,Decision making
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