Resultados de búsqueda - S9 (classification)

  1. Assessing and projecting land use land cover changes using machine learning and artificial neural network models in Guder watershed, Ethiopia por Demessie, Sintayehu Fetene, Dile, Yihun T., Bedadi, Bobe, Tarkegn, Temesgen Gashaw, Bayabil, Haimanote Kebede, Dejene, Sintayehu Workeneh

    Publicado 2025
    “…Specifically, shrubland will decrease from 12.4 % in 2021 to 10.1 % in 2039 and 8.7 % in 2057, grassland from 4.8 % in 2021 to 1.9 % in 2039 and 1.1 % in 2057, and forest from 9.0 % in 2021 to 8.9 % in 2039 and 7.9 % in 2057. …”
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    Journal Article
  2. Discriminating Robusta coffee (Coffea canephora) cropping systems using leaf-level hyperspectral data por Kebede, G., Mudereri, B.T., Abdel-Rahman, E.M., Mutanga, O., Landmann, T., Odindi, J., Motisi, N., Pinard, F., Tonnang, H.E.Z.

    Publicado 2024
    “…A selection of critical variables (NSB = 9 and VIs = 8) was identified through the guided regularized random forest (RF) technique and then applied to four ML algorithms—RF, stochastic gradient boosting (GB), linear discriminant analysis, and support vector machine for classification experiments. …”
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    Journal Article
  3. Accuracy assessment of the geomorphon approach to detect ecological sites in the Dry Chaco region of Argentina por Coria, Rubén Darío, Brungard, Colby, Vizgarra, Lidia Amanda, Moretti, Lucas Martin, Schulz, Guillermo, Rodriguez, Dario Martin

    Publicado 2024
    “…We determined that the geomorphon model with the pixel resolution of 30 m, t-value of 0.05◦, and L-value of 12 produced the ecological site classification map with the highest accuracy, achieving a moderate-high accuracy (D of 33.9 %). …”
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    Artículo
  4. Fertility in Zebu cattle (Bos indicus) after prostaglandin administration and artificial insemination por Rekwot, P.I., Oyedipe, E.O., Mukasa-Mugerwa, E., Sekoni, V.O., Akinpelumi, O.P., Anyam, A.A.

    Publicado 1999
    “…Fertility classification of the cows based on progesterone (P4) concentration showed that 6.6 percent of cows on the three farms were incorrectly diagnosed as having corpora lutea; 2.9 percent of them had incomplete luteolysis and 5.1 percent may have lost their embryos between days 21 and 45 post-insemination. …”
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    Journal Article
  5. The global mangrove watch - a New 2010 global baseline of mangrove extent por Bunting, P., Rosenqvist, A., Lucas, R.M., Rebelo, Lisa-Maria, Thomas, N., Hardy, A., Itoh, T., Shimada, M., Finlayson, C. Max

    Publicado 2018
    “…The methodology developed is primarily based on the classification of ALOS PALSAR and Landsat sensor data, where a habitat mask was first generated, within which the classification of mangrove was undertaken using the Extremely Randomized Trees classifier. …”
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    Journal Article
  6. Data on the Land Cover Transition, Subsequent Landscape Degradation, and Improvement in Semi-Arid Rainfed Agricultural Land in North–West Tunisia por Shiri, Zahra, Frija, Aymen, Rejeb, Hichem, Ouerghemmi, Hassen, Le, Quang Bao

    Publicado 2024
    “…For the three main LC classes (forest, crops, and rangeland) representing 98.9% of the total area in 2022, the landscape metrics, especially the number of patches, reflected a 105% increase in landscape fragmentation between 2017 and 2022.…”
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    Journal Article
  7. Properties of the structures created by ecosystem engineers on the soil surface of a Colombian savanna por Decaëns, Thibaud, Galvis, JH, Amézquita Collazos, Edgar

    Publicado 2001
    “…Three categories were also identified: (1) earthworm casts characterized by high bulk density (1.3-1.4 g/cm3), large aggregates (7-10 mm), high organic C contents (3%-4%), and assimilable nutrients; (2) termite mounds with low bulk density (0.6-0.9 g/cm3), large aggregates (8-9 mm), high organic C contents (3.5%-10%), and assimilable nutrients; and (3) slightly compact (0.4-0.7 g/cm3) and granular (aggregate size <1.5 mm) termite surface channels and ant nests, with low organic C contents (less than 1.5%) and assimilable nutrients. …”
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    Capítulo de libro
  8. Estimation of nitrogen flow within a villagefarm model in Fakara region in Niger, Sahelian zone of West Africa por Hayashi, K., Matsumoto, N., Hayashi, E., Abdoulaye, Tahirou, Shinjo, H., Tabo, Ramadjita, Matsunaga, R., Tobita, S.

    Publicado 2012
    “…Levels of nitrogen flow from these farmlands to the studied villages were 0.9, 2.9, 9.6, 15.2, and 94.2 Mg, while the flows to these farmlands were 14.6, 6.3, 13.7, 17.5, and 26.3 Mg, respectively. …”
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    Journal Article
  9. What should be the focus of agricultural policy reforms in Sub-Saharan Africa? A CGE analysis por Balié, Jean, Narayanan, Badri

    Publicado 2019
    “…For this study, we employ a novel and uniquely developed dataset on these policies in Sub-Saharan Africa (SSA), to analyse the impact of policy reforms, using the latest available GTAP 9.1 Data Base, in the widely employed GTAP framework, for the first time. …”
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    Journal Article

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