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

Guardado en:

Bibliografiske detaljer
Udgivet i:	AgriEngineering vol. 7, no. 5 (2025), p. 152
Hovedforfatter:	Ballena-Ruiz, Juan
Andre forfattere:	Arcila-Diaz, Juan, Tuesta-Monteza Victor
Udgivet:	MDPI AG
Fag:	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
Online adgang:	Citation/Abstract Full Text + Graphics Full Text - PDF
Tags:	Tilføj Tag Ingen Tags, Vær først til at tagge denne postø!

Vær først til at give en kommentarø!