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Can I read Biomass estimation of spring wheat with machine learning methods using UAV-based multispectral imaging on EtoBox?
Biomass estimation of spring wheat with machine learning methods using UAV-based multispectral imaging by João Gustavo Atkinson Amorim; Lincoln Vinicius Schreiber; Mirayr Raul Quadros de Souza; Marcelo Negreiros; Altamiro Susin; Christian Bredemeier; Carolina Trentin; André Luis Vian; Clódis de Oliveira Andrades-Filho; Dionísio Doering; Adriane Parraga is a Environmental Science article available to read on EtoBox.
What is Biomass estimation of spring wheat with machine learning methods using UAV-based multispectral imaging about?
Remote biomass estimation can benefit agricultural practices in several ways, especially larger areas since it does not require local measurements. The advances of the last few decades in machine learning techniques have created new possibilities for estimating aboveground biomass. A pipeline was established from image acquisition to modelling shoot biomass of two wheat cultivars used in Southern Brazil (TBIO Toruk and BRS Parrudo). A UAV was used to acquire multispectral images with high spatial resolution to calculate vegetation indices (VIs). These VIs along with machine learning approaches are used to model the measured biomass of crops in different growth phases. To correlate the wheat images with measured shoot dry biomass, the following regression models were investigated: random forest, support vector regression, and artificial neural networks. An experiment was designed and conducted at the Agriculture Experimental Station of the Federal University of Rio Grande do Sul (EEA/UFRGS) to assess wheat growth. Variability in crop growth was created for all test areas by varying nitrogen availability. To determine shoot biomass, plants were sampled at three different crop growth
Who reads Biomass estimation of spring wheat with machine learning methods using UAV-based multispectral imaging?
It is typically read by researchers, students, and practitioners in Environmental Science.
- Author
- João Gustavo Atkinson Amorim; Lincoln Vinicius Schreiber; Mirayr Raul Quadros de Souza; Marcelo Negreiros; Altamiro Susin; Christian Bredemeier; Carolina Trentin; André Luis Vian; Clódis de Oliveira Andrades-Filho; Dionísio Doering; Adriane Parraga
- Publisher
- Informa UK Limited
- Published
- 2022
- Language
- EN
- Field
- Environmental Science (Physical Sciences)