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  1. Visions and Recommendations for By the IUCN Commission on Education and Communication (CEC) by Czippan, Katalin, Cheryl, Charles, Abd-Alhad, Firas, Abdallah, Aishah, Zavarzin, Aleksey, Pisupati, Balakrishna, Sziva, Daniel, Li, Hanying, Camargo, Luis, Ratiani, Manana, Otieno, Margaret, Garnett, Tommy, Horváth, Zsuzsanna, Kray, Zsuzsanna, Medero, Silvina Laura

    Published 2022
    “…It should also mainstream locality considerations such as the revival of traditional knowledge, be based on firsthand learning in natural settings and follow innovative approaches. …”
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    Informe técnico
  2. How to succeed in implementing community-based breeding programs: Lessons from the field in Eastern and Southern Africa by Haile, Aynalem, Getachew, Tesfaye, Rekik, Mourad, Abebe, Ayele, Abate, Zelalem, Jimma, Addisu, Mwacharo, Joram M., Mueller, Joaquin Pablo, Belay, Berhanu, Solomon, Dawit, Hyera, Emil, Nguluma, Athumani S., Gondwe, Timothy, Rischkowsky, Barbara

    Published 2023
    “…From experiential monitoring and learning, their success depends on the following: 1) identification of the right beneficiaries; 2) clear framework for dissemination of improved genetics and an up/out scaling strategy; 3) institutional arrangements including establishment of breeders’ cooperatives to support functionality and sustainability; 4) capacity development of the different actors on animal husbandry, breeding practices, breeding value estimation and sound financial management; 5) easy to use mobile applications for data collection and management; 6) long-term technical support mainly in data management, analysis and feedback of estimated breeding values from committed and accessible technical staff; 7) complementary services including disease prevention and control, proper feeding, and market linkages for improved genotypes and non-selected counterparts; 8) a system for certification of breeding rams/bucks to ensure quality control; 9) periodic program evaluation and impact assessment; and 10) flexibility in the implementation of the programs. …”
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    Artículo
  3. High-resolution soil organic carbon mapping for enhancing predictive accuracy of environmental drivers in heterogeneous and mountainous landscapes in Patagonia by Trinco, Fabio Daniel, Zeraatpisheh, Mojtaba, Turner, Hannah C., El Mujtar, Veronica Andrea, Tittonell, Pablo Adrian, Galford, Gillian L.

    Published 2025
    “…This study leverages a novel SOC database (1,724 samples) integrated with remote sensing and spatial variables in a machine learning model to produce high-resolution (30 m) SOC data that captures decision-relevant scales of variability across diverse land covers and uses. …”
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    Artículo
  4. Assessment of multi - date sentinel - 1 polarizations and GLCM texture features capacity for onion and sunflower classification in an irrigated valley: An object level approach by Caballero, Gabriel, Platzech, Gabriel, Pezzola, Nestor Alejandro, Casella, Alejandra An, Winschel, Cristina Ines, Silva, Samanta, Ludueña, Emilia, Pasqualotto, Nieves, Delegido, Jesús

    Published 2020
    “…The field samples database was used for training and supporting a supervised classification with two machine learning algorithms—Random Forest (RF) and Support Vector Machine (SVM)—obtaining high levels of accuracy in each case. …”
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    Artículo
  5. Odla taken! by Jakobsson Törmä, Lisa

    Published 2017
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    First cycle, G2E
  6. Läsplatta och videoanalys som pedagogiskt verktyg vid ridundervisning by Ignerus, Maria

    Published 2018
    “…The riding teacher also needs to take every student´s individual learning style in consideration when teaching students in groups. …”
    M2

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