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    <title>Results for "machine"</title>
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      <title>Monitoreo y gestión inteligente de cultivos : alertas preventivas y sistema de iluminación suplementario</title>
      <pubDate>Wed, 01 Jan 2025 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/BDFIA213460</link>
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      <dc:format>Presentaciones</dc:format>
      <dc:date>2025</dc:date>
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      <title>Agricultural land suitability analysis: state-of-the-art and outlooks for integration of climate change analysis</title>
      <pubDate>Tue, 01 Jan 2019 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace101186</link>
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      <author>Akpoti, K.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2019</dc:date>
      <dc:creator>Akpoti, K.</dc:creator>
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      <title>A scalable scheme to implement data-driven agriculture for small-scale farmers</title>
      <pubDate>Tue, 01 Jan 2019 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace103626</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace103626</guid>
      <author>Jiménez, Daniel</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2019</dc:date>
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      <title>Aerial Monitoring of Rice Crop Variables using an UAV Robotic System</title>
      <pubDate>Tue, 01 Jan 2019 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace105568</link>
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      <author>Devia, Carlos Andres</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2019</dc:date>
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      <title>Integrating satellite and climate data to predict wheat yield in Australia using machine learning approaches</title>
      <pubDate>Tue, 01 Jan 2019 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace108339</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace108339</guid>
      <author>Cai, Y.</author>
      <dc:format>Journal Article</dc:format>
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      <title>Detection of banana plants and their major diseases through aerial images and machine learning methods: A case study in DR Congo and Republic of Benin</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace110670</link>
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      <author>Gómez Selvaraj, Michael</author>
      <dc:format>Journal Article</dc:format>
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      <title>Can call detail records provide insights into women's empowerment? A case study from Uganda</title>
      <pubDate>Fri, 01 Jan 2021 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace111023</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace111023</guid>
      <author>Slavchevska, Vanya</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2021</dc:date>
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      <title>Terra-i+ Using machine learning to manage impacts of coffee production in Ocotepeque, Honduras</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace111378</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace111378</guid>
      <author>Alliance of Bioversity International and CIAT</author>
      <dc:format>Informe técnico</dc:format>
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      <title>Terra-i + Using machine learning to manage impacts of coffee production in Ocotepeque</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace111379</link>
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      <author>Alliance of Bioversity International and CIAT</author>
      <dc:format>Ponencia</dc:format>
      <dc:date>2020</dc:date>
      <dc:creator>Alliance of Bioversity International and CIAT</dc:creator>
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      <title>Business model testing and advisory with Root Capital and Sustainable Food Lab</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace111380</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace111380</guid>
      <author>Root Capital</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2020</dc:date>
      <dc:creator>Root Capital</dc:creator>
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      <title>Understanding users formal meetings</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace111384</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace111384</guid>
      <author>Alliance of Bioversity International and CIAT</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2020</dc:date>
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      <title>Global habitat suitability of Spodoptera frugiperda (JE Smith) (Lepidoptera, Noctuidae): key parasitoids considered for its biological control</title>
      <pubDate>Fri, 01 Jan 2021 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace113604</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace113604</guid>
      <author>Tepa-Yotto, Ghislain T.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2021</dc:date>
      <dc:creator>Tepa-Yotto, Ghislain T.</dc:creator>
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      <title>Approximating soil organic carbon stock in the Eastern Plains of Colombia</title>
      <pubDate>Fri, 01 Jan 2021 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace114402</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace114402</guid>
      <author>Rainford, Shauna-kay</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2021</dc:date>
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      <title>Mapping land suitability for informal, small-scale irrigation development using spatial modelling and machine learning in the Upper East Region, Ghana</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace115220</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace115220</guid>
      <author>Akpoti, K.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Akpoti, K.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Monitoring spatial-temporal variations of surface areas of small reservoirs in Ghana’s Upper East Region using Sentinel-2 satellite imagery and machine learning</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace117314</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace117314</guid>
      <author>Ghansah, B.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Ghansah, B.</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Predicting the chlorophyll content of maize over phenotyping as a proxy for crop health in smallholder farming systems</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace117858</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace117858</guid>
      <author>Brewer, K.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Brewer, K.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Predicting infectious diseases: a bibliometric review on Africa</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace118281</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace118281</guid>
      <author>Phoobane, P.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Phoobane, P.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Responsible artificial intelligence in agriculture requires systemic understanding of risks and externalities</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace118363</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace118363</guid>
      <author>Tzachor, Asaf</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Tzachor, Asaf</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Mining the gaps:using machine learning to map a million data points from agricultural research from the global south</title>
      <pubDate>Fri, 01 Jan 2021 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace119437</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace119437</guid>
      <author>Porciello, J.</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2021</dc:date>
      <dc:creator>Porciello, J.</dc:creator>
      <slash:comments>0</slash:comments>
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      <title>Climate change-induced reduction in agricultural land suitability of West-Africa’s inland valley landscapes</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace119581</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace119581</guid>
      <author>Akpoti, Komlavi</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Akpoti, Komlavi</dc:creator>
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    <item>
      <title>Estimation of soybean grain yield from multispectral high-resolution UAV data with machine learning models in west Africa</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace119752</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace119752</guid>
      <author>Alabi, T.R.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Alabi, T.R.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Reference soil groups map of Ethiopia based on legacy data and machine learning technique: EthioSoilGrids 1.0</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace119860</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace119860</guid>
      <author>Ali, Ashenafi</author>
      <dc:format>Preprint</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Ali, Ashenafi</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Machine learning model accurately predict maize grain yields in conservation agriculture systems in southern Africa</title>
      <pubDate>Fri, 01 Jan 2021 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace119867</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace119867</guid>
      <author>Muthoni, Francis K.</author>
      <dc:format>Conference Paper</dc:format>
      <dc:date>2021</dc:date>
      <dc:creator>Muthoni, Francis K.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>A map of global peatland extent created using machine learning (Peat-ML)</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace119957</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace119957</guid>
      <author>Melton, Joe R.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Melton, Joe R.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Estimation of maize foliar temperature and stomatal conductance as indicators of water stress based on optical and thermal imagery acquired using an Unmanned Aerial Vehicle (UAV) platform</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace120227</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace120227</guid>
      <author>Brewer, K.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Brewer, K.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Data-driven similar response units for agricultural technology targeting: An example from Ethiopia</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace120934</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace120934</guid>
      <author>Tamene, Lulseged D.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Tamene, Lulseged D.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Characterizing and mapping cropping patterns in a complex agro-ecosystem: An iterative participatory mapping procedure using machine learning algorithms and MODIS vegetation indices</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace120953</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace120953</guid>
      <author>Feyisa, Gudina</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2020</dc:date>
      <dc:creator>Feyisa, Gudina</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Modeling climate change impact on inflow and hydropower generation of Nangbeto Dam in West Africa using multi-model CORDEX ensemble and ensemble machine learning</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace121016</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace121016</guid>
      <author>Obahoundje, S.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Obahoundje, S.</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Comparison of UAV and SAR performance for crop type classification using machine learning algorithms: a case study of humid forest ecology experimental research site of west Africa</title>
      <pubDate>Sat, 01 Jan 2022 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace121079</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace121079</guid>
      <author>Duke, O.P.</author>
      <dc:format>Journal Article</dc:format>
      <dc:date>2022</dc:date>
      <dc:creator>Duke, O.P.</dc:creator>
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    <item>
      <title>An unmanned aerial vehicle (UAV) technology for estimating leaf N content in rice crops, from multispectral imagery</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace122306</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace122306</guid>
      <author>CGIAR Research Program on Rice</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2020</dc:date>
      <dc:creator>CGIAR Research Program on Rice</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Innovative use of satellite data from remote sensing and supervised learning to reduce the impact of drought on crop production</title>
      <pubDate>Tue, 01 Jan 2019 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace122550</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace122550</guid>
      <author>CGIAR Research Program on Wheat</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2019</dc:date>
      <dc:creator>CGIAR Research Program on Wheat</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Machine learning innovations for rapid assessments in wheat and rice systems in South Asia.</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace122589</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace122589</guid>
      <author>CGIAR Research Program on Wheat</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2020</dc:date>
      <dc:creator>CGIAR Research Program on Wheat</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>Rift Valley fever (RVF) project on Zooniverse, a citizen science platform that allows registered volunteers to identify animals in landscapes from drone imagery</title>
      <pubDate>Fri, 01 Jan 2021 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace122825</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace122825</guid>
      <author>CGIAR Research Program on Agriculture for Nutrition and Health</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2021</dc:date>
      <dc:creator>CGIAR Research Program on Agriculture for Nutrition and Health</dc:creator>
      <slash:comments>0</slash:comments>
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    <item>
      <title>New machine learning models that predict the performance of seed varieties in particular conditions</title>
      <pubDate>Tue, 01 Jan 2019 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace122958</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace122958</guid>
      <author>CGIAR Platform for Big Data in Agriculture</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2019</dc:date>
      <dc:creator>CGIAR Platform for Big Data in Agriculture</dc:creator>
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      <title>Predicting yields using biophysical crop simulations, machine learning and remote sensing in India</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace122969</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace122969</guid>
      <author>CGIAR Platform for Big Data in Agriculture</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2020</dc:date>
      <dc:creator>CGIAR Platform for Big Data in Agriculture</dc:creator>
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      <title>Ensemble machine learning prediction of drivers affecting rice and wheat yield, greenhouse gas emissions, and yield-scaled emissions in Bangladesh</title>
      <pubDate>Tue, 01 Jan 2019 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace123019</link>
      <guid>https://buscador.una.edu.ni/Record/CGSpace123019</guid>
      <author>CGIAR Research Program on Climate Change, Agriculture and Food Security</author>
      <dc:format>Informe técnico</dc:format>
      <dc:date>2019</dc:date>
      <dc:creator>CGIAR Research Program on Climate Change, Agriculture and Food Security</dc:creator>
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      <title>CIAT-developed machine learning technology identifies agroforestry crops and other land cover types using publicly available (free) satellite imagery.</title>
      <pubDate>Wed, 01 Jan 2020 11:56:41 -0600</pubDate>
      <link>https://buscador.una.edu.ni/Record/CGSpace123071</link>
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      <author>CGIAR Research Program on Climate Change, Agriculture and Food Security</author>
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      <title>Modelling agricultural drought: a review of latest advances in big data technologies</title>
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      <title>Banana mapping in heterogenous smallholder farming systems using high-resolution remote sensing imagery and machine learning models with implications for banana bunchy top disease surveillance</title>
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      <title>Can remote sensing enable a Biomass Climate Adaptation Index for agricultural systems?</title>
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