Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images

Deep Learning Regression Approaches Applied to Estimate Tillering in Tropical Forages Using Mobile Phone Images

We assessed the performance of Convolutional Neural Network (CNN)-based approaches using mobile phone images to estimate regrowth density in tropical forages. We generated a dataset composed of 1124 labeled images with 2 mobile phones 7 days after the harvest of the forage plants. Six architectures...

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Xehetasun bibliografikoak
Egile Nagusiak: Luiz Santos, José Marcato Junior, Pedro Zamboni, Mateus Santos, Liana Jank, Edilene Campos, Edson Takashi Matsubara
Formatua: Artikulua
Hizkuntza:English
Argitaratua: MDPI AG 2022-05-01
Saila:Sensors
Gaiak:
regrowth density
deep learning
forages
Sarrera elektronikoa:https://www.mdpi.com/1424-8220/22/11/4116

Internet

https://www.mdpi.com/1424-8220/22/11/4116

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