Resultados de búsqueda - Institutional Image

Enhancing irrigation management: Unsupervised machine learning coupled with geophysical and multispectral data for informed decision-making in rice production por Chaali, Nesrine, Ramírez Gomez, Carlos Manuel, Jaramillo Barrios, Camilo Ignacio, Garr´e, Sarah, Barrero, Oscar, Ouazaa, Sofiane, Calderon Carvajal, John Edinson

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Exploring non‑conventional irrigation methods and drone‑based monitoring to enhance water use efciency: a case of rice cultivation in Colombia por Martínez Vega, Ronald Ricardo, Ouazaa, Sofane, De Swaef, Tom, Chaali, Nesrine, Garré, Sarah, Jaramillo Barrios, Camilo Ignacio, Moreno Fonseca, Liz Patricia

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Modelo productivo para el cultivo de cacao (Theobroma cacao L.) en el departamento de Santander (2a edición) por Jaimes Suárez, Yeirme Yaneth, Agudelo Castañeda, Genaro Andrés, Báez Daza, Eliana Yadira, Montealegre Bustos, Felipe, Rengifo Estrada, Gersain Antonio, Rojas Molina, Jairo

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Coping with drought - livestock insurance por Wandera, Brenda

“…In Kenya, the International Livestock Research Institute, working with partner organisations, has developed an insurance scheme for livestock farmers. …”
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Smallholder pig farming in Uganda: A day in the life of a research for development project por International Livestock Research Institute

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Scaling-up plant chlorophyll retrieval from proximal to UAV-borne hyperspectral data using a Gaussian process hybrid model por Sahoo, Rabi N., Rejith, R. G., Kondraju, Tarun, Ranjan, Rajeev, Bhandari, Amrita, Gakhar, Shalini, Asim, Mohd, Verrelst, Jochem, Kaur, Ramanjit, Singh, Teekam, Dass, Anchal

“…In the present study, a hybrid Gaussian process regression (GPR) model was developed to estimate leaf chlorophyll content (LCC) in mustard crops at two distinct growth stages (60 and 90 days after sowing) in the research farm of the ICAR-Indian Agricultural Research Institute (IARI), New Delhi, India. Imaging hyperspectral data from UAV in the 400–1000 nm spectral range was compared with non-imaging data collected from the field at a 400–2500 nm spectral range. …”
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Crop Monitoring Using Smartphone Based Near-Surface Remote Sensing: Ground Pictures of Wheat and Auxiliary Data from Northern India por International Food Policy Research Institute, Ghent University, University of Manchester

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Artificial insemination, a relief for DR Congo’s cattle keepers por International Institute of Tropical Agriculture

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Scientific data for CS-MAP in Cambodia por Bui Tan Yen

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Grounding AI in practice: What extension gets wrong, what extension gets right, and what AI can learn por Davis, Kristin E., Jones-Garcia, Eliot, Singaraju, Niyati

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Mapping irrigated areas in the Limpopo Province, South Africa por Xueliang Cai, Magidi, J., Nhamo, Luxon, van Koppen, Barbara

“…The study was conducted by the International Water Management Institute (IWMI) in collaboration with the Department of Agriculture, Forestry and Fisheries (DAFF) and the Limpopo Department of Agriculture and Rural Development (LDARD), as part of the DAFF-supported ‘Revitalization of irrigation in South Africa’ project. …”
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Haiti and its multiple tragedies: Much more needs to be done por Díaz-Bonilla, Eugenio

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MODIS NDVI Modified Z-score for Evaluating Drought Incidence of Rice Areas in the Mekong Delta por Aunario, Jorrel Khalil, Laborte, Alice G.

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Yangon Peri-urban Livestock Survey 2019 por International Food Policy Research Institute

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Principios de virología molecular de plantas tropicales. por Marín Montoya, Mauricio, Gutiérrez Sánchez, Pablo Andrés

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Conclusion: old lesson and new directions in food policy por Ahmed, Raisuddin, Haggblade, Steven

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Worldwide Extension Study por International Food Policy Research Institute, University of Illinois

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Downgrading recent stimates of land available for biofuel production por Fritz, Steffen, See, Linda, van der Velde, Marijn, Nalepa, Rachel A., Perger, Christoph, Schill, Christian, McCallum, Ian, Schepaschenko, Dimitry, Kraxner, Florian, Cai, Ximing, Zhang, Xiao, Ortner, Simone, Hazarika, Rubul, Cipriani, Anna, Di Bella, Carlos Marcelo, Rabia, Ahmed H., Garcia, Alfredo Gabriel, Vakolyuk, Mar`yana, Singha, Kuleswar, Beget, Maria Eugenia, Erasmi, Stefan, Albrecht, Franziska, Shaw, Brian, Obersteiner, Michael

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ICT-Based Identification and Characterisation of Small Reservoirs in the Limpopo River Basin in Zimbabwe por Mulengera, Patrick-M. Bahal’okwibale, Manzungu, Emmanuel, Kileshye Onema, Jean-Marie

“…Identification was done by processing Landsat TM 4-5 images of February-March and April-May 2009, using Geographical Information Systems. …”
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Unpacking vulnerability through an intersectional lens in Myanmar por International Water Management Institute

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