Convolutional neural networks in predicting cotton yield from images of commercial fields

[Display omitted] •Images of the cotton plants in commercial fields were acquired by a mobile device.•We present an approach robust exploring environmental condition.•The best result for count cotton bolls obtained an accuracy of 8.84%•Predicting cotton yield showed a high precision (R2 = 0.93).•Dee...

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Veröffentlicht in:	Computers and electronics in agriculture 2020-04, Vol.171, p.105307, Article 105307
Hauptverfasser:	Tedesco-Oliveira, Danilo, Pereira da Silva, Rouverson, Maldonado, Walter, Zerbato, Cristiano
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Artificial neural networks Color imagery Cotton Deep learning Electronic devices Harvesters Harvesting Image acquisition Object detection Smart harvesting Yield prediction
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