Razvoj modela za visokopropusnu fenotipizaciju kvantitativnih osobina u oplemenjivačkim kolekcijama soje

Doktorand:

Ranđelović, Predrag D.

Fakultet:

Poljoprivredni fakultet

Datum postavljanja na uvid javnosti:

06-03-2025

Objavljeni radovi:

[1]

Prediction of soybean plant density using a machine learning model and vegetation indices extracted from RGB images taken with a UAV

[2]

High-throughput phenotyping for non-destructive estimation of soybean fresh biomass using a machine learning model and temporal UAV data