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Subject: Agricultural Sciences

1 to 3 of 3 Results

Datos base para calibrar el modelo AquaCrop en el cultivo de alfalfa Nov 29, 2023 - Facultad de Ciencias Agrarias Martín, Beatriz, 2023, "Datos base para calibrar el modelo AquaCrop en el cultivo de alfalfa", https://doi.org/10.57715/UNR/LD3C1O, RDA UNR, V1, UNF:6:iF4HOmjmEWubB4z4Cv+Vnw== [fileUNF] AquaCrop es un modelo desarrollado por la División de Tierra y Agua de la Organización de las Naciones Unidas para la Alimentación y la Agricultura FAO, que simula el crecimiento de cultivos herbáceos en función del consumo de agua. Integra el efecto de las variables edáficas y c...
Dataset: Audio recordings of grazing jaw movements in dairy cattle Nov 24, 2022 - Facultad de Ciencias Agrarias Vanrell, Sebastián Rodrigo; Chelotti, José; Bugnon, Leandro; Rufiner, Hugo Leonardo; Milone, Diego; Laca, Emilio; Galli, Julio R., 2022, "Dataset: Audio recordings of grazing jaw movements in dairy cattle", https://doi.org/10.57715/UNR/T7SDAX, RDA UNR, V2, UNF:6:3DvKd50rxuRF55mOPI+klA== [fileUNF] This dataset is composed of correlated audio recordings and labels of ingestive jaw movements performed during grazing by dairy cattle. Using a wireless microphone, we recorded sounds of three Holstein dairy cows grazing short and tall alfalfa and short and tall fescue. Two exper...
Dataset: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination Jul 28, 2022 - Área de Sensores Remotos Cotlier, Carlos Gustavo; Brisco, Brian; Mondino, María Cristina; Grasso, Rodolfo; Vicioso, Benito; López, Diego Alejandro Germán; Cornero, Cecilia; Balparda, Laura Rita, 2022, "Dataset: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination", https://doi.org/10.57715/UNR/YRH5LP, RDA UNR, V1, UNF:6:+oq47UcbtIS762721azgVw== [fileUNF] This dataset corresponds to input data, processed data and results published in Cotlier et al. (2011). The research was carried out to determine the capability to discriminate crops in horticultural plots smaller than 1 ha, using Radarsat-2 satellite images, in Ultra-Fine mode of...

Datos base para calibrar el modelo AquaCrop en el cultivo de alfalfa

Nov 29, 2023 - Facultad de Ciencias Agrarias

Martín, Beatriz, 2023, "Datos base para calibrar el modelo AquaCrop en el cultivo de alfalfa", https://doi.org/10.57715/UNR/LD3C1O, RDA UNR, V1, UNF:6:iF4HOmjmEWubB4z4Cv+Vnw== [fileUNF]

AquaCrop es un modelo desarrollado por la División de Tierra y Agua de la Organización de las Naciones Unidas para la Alimentación y la Agricultura FAO, que simula el crecimiento de cultivos herbáceos en función del consumo de agua. Integra el efecto de las variables edáficas y c...

Dataset: Audio recordings of grazing jaw movements in dairy cattle

Nov 24, 2022 - Facultad de Ciencias Agrarias

Vanrell, Sebastián Rodrigo; Chelotti, José; Bugnon, Leandro; Rufiner, Hugo Leonardo; Milone, Diego; Laca, Emilio; Galli, Julio R., 2022, "Dataset: Audio recordings of grazing jaw movements in dairy cattle", https://doi.org/10.57715/UNR/T7SDAX, RDA UNR, V2, UNF:6:3DvKd50rxuRF55mOPI+klA== [fileUNF]

This dataset is composed of correlated audio recordings and labels of ingestive jaw movements performed during grazing by dairy cattle. Using a wireless microphone, we recorded sounds of three Holstein dairy cows grazing short and tall alfalfa and short and tall fescue. Two exper...

Dataset: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination

Jul 28, 2022 - Área de Sensores Remotos

Cotlier, Carlos Gustavo; Brisco, Brian; Mondino, María Cristina; Grasso, Rodolfo; Vicioso, Benito; López, Diego Alejandro Germán; Cornero, Cecilia; Balparda, Laura Rita, 2022, "Dataset: Use of Radarsat-2 ultra-fine images in horticulture-intensive farming: land use detection and crop discrimination", https://doi.org/10.57715/UNR/YRH5LP, RDA UNR, V1, UNF:6:+oq47UcbtIS762721azgVw== [fileUNF]

This dataset corresponds to input data, processed data and results published in Cotlier et al. (2011). The research was carried out to determine the capability to discriminate crops in horticultural plots smaller than 1 ha, using Radarsat-2 satellite images, in Ultra-Fine mode of...

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