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

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Bibliografske podrobnosti
izdano v:	AgriEngineering vol. 7, no. 5 (2025), p. 152
Glavni avtor:	Ballena-Ruiz, Juan
Drugi avtorji:	Arcila-Diaz, Juan, Tuesta-Monteza Victor
Izdano:	MDPI AG
Teme:	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
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