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

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Detalles Bibliográficos
Publicado en:	AgriEngineering vol. 7, no. 5 (2025), p. 152
Autor principal:	Ballena-Ruiz, Juan
Otros Autores:	Arcila-Diaz, Juan, Tuesta-Monteza Victor
Publicado:	MDPI AG
Materias:	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
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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