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Convolutional Neural Networks to Estimate Dry Matter Yield in a Guineagrass Breeding Program Using UAV Remote Sensing

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 effi...

पूर्ण विवरण

में बचाया:
ग्रंथसूची विवरण
में प्रकाशित:Sensors (Basel)
मुख्य लेखकों: 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
स्वरूप: Artigo
भाषा:Inglês
प्रकाशित: MDPI 2021
विषय:
Article
ऑनलाइन पहुंच:https://ncbi.nlm.nih.gov/pmc/articles/PMC8227058/
https://ncbi.nlm.nih.gov/pubmed/34207543
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3390/s21123971
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