Automated Detection and Counting of Gossypium barbadense Fruits in Peruvian Crops Using Convolutional Neural Networks

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Detalhes bibliográficos
Publicado no:	AgriEngineering vol. 7, no. 5 (2025), p. 152
Autor principal:	Ballena-Ruiz, Juan
Outros Autores:	Arcila-Diaz, Juan, Tuesta-Monteza Victor
Publicado em:	MDPI AG
Assuntos:	Accuracy Cotton Datasets Deep learning Agricultural production Models Applications programs Fruits Artificial neural networks Crops Unmanned aerial vehicles Crop production Automation Machine learning Efficiency Agriculture Data augmentation Computer vision Precision agriculture Sensors Neural networks Data collection Images Object recognition Decision making Gossypium barbadense
Acesso em linha:	Citation/Abstract Full Text + Graphics Full Text - PDF
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