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ECOBREED WP4 soybean data related to Randelovic et al. (2020)

Research datakeyboard_double_arrow_right Dataset 25 Jan 2021Publisher:ZenodoFunded by:EC | ECOBREED, MESTD | Ministry of Education, Sc...

Authors: Randelovic, Predrag; Dordevic, Vuk; Milic, Stanko; Balesevic-Tubic, Svetlana; Petrovic, Kristina; Miladinovic, Jegor; Dukic, Vojin;

doi: 10.5281/zenodo.4463601 , 10.5281/zenodo.4463602

ECOBREED WP4 soybean data related to Randelovic et al. (2020)

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Abstract

Data related to the publication of Randelovic et al. (2020) Agronomy 10, 1108. doi: 10.3390/agronomy10081108. Data include the following files: (a) Excel file with two sheets (2018 & 2019) including trial information (plot allocation) and number of plants per square meter; (b) RGB image of soybean trial 2018 taken at V4 stage (four unfolded trifoliolate leaves); (c) RGB image of soybean trial 2018 taken at R3 stage (beginning pod); (d) RGB image of soybean trial 2019 taken at V4 stage; (e) RGB image of soybean trial 2019 taken at R3 stage. [Growth stages according to Fehr WR, Caviness CE (1977) Stages of soybean development. Iowa State Univ. Cooperative Ext. Serv., Spec. Rep. 80.]

Related Organizations

Institute of Field and Vegetable Crops
Serbia

Keywords

machine learning, phenotyping, Glycine max, unmanned aerial vehicle (UAV), vegetation indices, RGB image

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