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

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Detaylı Bibliyografya
Yayımlandı:	AgriEngineering vol. 7, no. 5 (2025), p. 152
Yazar:	Ballena-Ruiz, Juan
Diğer Yazarlar:	Arcila-Diaz, Juan, Tuesta-Monteza Victor
Baskı/Yayın Bilgisi:	MDPI AG
Konular:	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 Erişim:	Citation/Abstract Full Text + Graphics Full Text - PDF
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