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

Salvato in:

Dettagli Bibliografici
Pubblicato in:	AgriEngineering vol. 7, no. 5 (2025), p. 152
Autore principale:	Ballena-Ruiz, Juan
Altri autori:	Arcila-Diaz, Juan, Tuesta-Monteza Victor
Pubblicazione:	MDPI AG
Soggetti:	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
Accesso online:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Lascia un commento!