Article
Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing.
Sensors (Basel, Switzerland) - 9 Jun 2021
de Oliveira Gabriel Silva, Marcato Junior José, Polidoro Caio, Osco Lucas Prado, Siqueira Henrique, Rodrigues Lucas, Jank Liana, Barrios Sanzio, Valle Cacilda, Simeão Rosângela, Carromeu Camilo, Silveira Eloise, André de Castro Jorge Lúcio, Gonçalves Wesley, Santos Mateus, Matsubara Edson
Abstract excerpt
Forage dry matter is the main source of nutrients in the diet of ruminant animals. Thus, this trait is evaluated in most forage breeding programs with the objective of increasing the yield. Novel solutions combining unmanned aerial vehicles (UAVs) and computer vision are crucial to increase the efficiency of forage breeding programs, to support high-throughput phenotyping (HTP), aiming to estimate parameters...
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