Resultados de búsqueda - Plants Classification.

  1. Performance of soybean (Glycine max L Merrill) genotypes under different planting dates in Sennar State of the Sudan por Ngalamu, T., Meseka, S.K., Ashraf, M.

    Publicado 2012
    “…These agronomic traits, number of pods per plant, number of seeds per pod, leaf area and number of branches per plant contributed to the yield performance. …”
    Enlace del recurso
    Journal Article
  2. Crop planting structure extraction in irrigated areas from multi-sensor and multi-temporal remote sensing data. In Chinese por Xueliang Cai, Yuanlai Cui

    Publicado 2009
    “…The paper seeks to extract crop planting structure by employing multi-temporal images from multi-sensors. …”
    Enlace del recurso
    Journal Article
  3. Mapping plant functional types in Northwest Himalayan foothills of India using random forest algorithm in Google Earth Engine por Srinet, R., Nandy, S., Padalia, H., Ghosh, Surajit, Watham, T., Patel, N. R., Chauhan, P.

    Publicado 2020
    “…Plant functional types (PFTs) have been widely used to represent the vegetation characteristics and their interlinkage with the surrounding environment in various earth system models. …”
    Enlace del recurso
    Journal Article
  4. Morphological, SSR and ploidy analysis of water yam (Dioscorea alata L.) accessions for utilization of aerial tubers as planting materials por Tessema, G., Gedil, Melaku A, Spillane, Charles

    Publicado 2017
    “…The high cost and supply shortage of seed yam propagules for planting are major constraints in yam production. In the water yam (Dioscorea alata L.), aerial tubers have potential as alternative sources of planting material. …”
    Enlace del recurso
    Journal Article
  5. Collection of new diversity of wild and cultivated bananas (Musa spp.) in the Autonomous Region of Bougainville, Papua New Guinea por Sardos, J., Christelova, P., Cizkova, J., Paofa, J., Sachter-Smith, Gabriel L., Janssens, S.B., Rauka, G., Ruas, M., Daniells, J.W., Doležel, Jaroslav, Roux, N.

    Publicado 2018
    “…In total, 61 accessions were collected and their names and uses were recorded when possible. Classification was also provided based on the observations made in the field. …”
    Enlace del recurso
    Journal Article
  6. Tree species traits response to different canopy cover for 34 tree species in an enrichment planted tropical secondary rain forest in Sabah, Malaysia por Videkull, Li

    Publicado 2014
    “…However, the pioneer-climax classification is considered as a continuum. The objectives of this study were to investigate how different canopy cover affected tree species traits for 34 tree species in an enrichment planted tropical secondary rain forest, and if tree species growth response to increased light after a shade adjustment was related to tree species specific wood densities. …”
    Enlace del recurso
    Second cycle, A2E
  7. Genome-wide identification, expression profiling, and target gene analysis of microRNAs in the Onion thrips, Thrips tabaci Lindeman (Thysanoptera:Thripidae), vectors of tospoviruse... por Balan, R.K., Ramasamy, A., Hande, R.H., Gawande, S.J., Krishna Kumar, N.K.

    Publicado 2018
    “…Apart from snoRNAs and piRNAs, our study identified nine novel and 130 known miRNAs from T. tabaci. Functional classification of the targets for these miRNAs predicted that majority are involved in regulating transcription, translation, signal transduction and genetic information processing. …”
    Enlace del recurso
    Journal Article
  8. Sentinel-1 SAR Time Series-Based Assessment of the Impact of Severe Salinity Intrusion Events on Spatiotemporal Changes in Distribution of Rice Planting Areas in Coastal Provinces... por Hoang-Phi, Phung, Lam-Dao, Nguyen, Pham-Van, Cu, Chau-Nguyen-Xuan, Quang, Nguyen-Van-Anh, Vu, Gummadi, Sridhar, Le-Van, Trung

    Publicado 2020
    “…Results show that in the years observed to have severe salinity intrusion such as 2016 and 2020, a strong shift in planting calendar was identified to avoid salinity intrusion, with some areas being sown or transplanted 10–30 days earlier than normal planting. …”
    Enlace del recurso
    Journal Article
  9. Automated machine learning: A case study of genomic "image-based" prediction in maize hybrids por Galli, Giovanni, Sabadin, Felipe, Yassue, Rafael Massahiro, Galves, Cassia, Carvalho, Humberto Fanelli, Crossa, José, Montesinos-López, Osval Antonio, Fritsche-Neto, Roberto

    Publicado 2022
    “…In the regression task, the machine learning models were compared along with GBLUP. Under the classification task, MLP and CNN were compared. In this case, the traits (plant height and grain yield) were discretized in such a way to create balanced (moderate selection intensity) and unbalanced (extreme selection intensity) datasets for further evaluations. …”
    Enlace del recurso
    Journal Article
  10. Complete genome characterization of barley yellow dwarf virus-OYV por Sathees, Kanitha

    Publicado 2016
    “…BYD-associated viruses are phloem-restricted pathogens that cause yellowing and reddening of leaves, plant dwarfing and reduction in size and number of grains. …”
    Enlace del recurso
    Second cycle, A1E
  11. Desiccation tolerance of yeheb (Cordeauxia edulis Hemsl.) seeds por Liew, Josefine

    Publicado 2008
    “…However, further studies on viability in storage and tolerance to low temperatures are necessary before any certain conclusions on the classification of seed storage behaviour of yeheb can be drawn.…”
    Enlace del recurso
    Otro
  12. Advancing common bean (Phaseolus vulgaris L.) disease detection with YOLO driven deep learning to enhance agricultural AI por Gomez, Daniela, Selvaraj, Michael Gomez, Casas, Jorge, Mathiyazhagan, Kavino, Rodriguez, Michael, Assefa, Teshale, Mlaki, Anna, Nyakunga, Goodluck, Kato, Fred, Mukankusi, Clare, Girma, Ellena, Mosquera, Gloria, Arredondo, Victoria, Espitia, Ernesto

    Publicado 2024
    “…However, micro annotation consistently yields lower performance than whole annotation across all disease classes and plant parts, as examined by all YOLO models, highlighting an unexpected discrepancy in detection accuracy. …”
    Enlace del recurso
    Journal Article
  13. Las plantas exogenas en la taxonomia mixteca (Mexico) por Katz, E.

    Publicado 1998
    “…In this article, the names given to introduced plants in local Spanish and Mixtec are analysed from an ethnoscience point of view: How do new plants fit into indigenous classification? …”
    Enlace del recurso
    Journal Article
  14. Perenner i Norrbotten por Johansson, Robert

    Publicado 2008
    “…The results from the literature study discusses Raunkiærs system of classification, the climate of the county and ends up in the conclusion that the main reason to why plants survive or not is drainage around the roots. …”
    Enlace del recurso
    Otro

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