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Millet and Sorghum technology toolkit catalogue: Clearinghouse technical report series 014 by Technologies for African Agricultural Transformation

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Framework for estimating indirect costs in animal health using time series analysis by Barratt, Alyson S., Rich, Karl M., Eze, Jude I., Porphyre, Thibaud., Gunn, George J., Stott, Alistair W.

“…Time series analysis is an econometric method for analyzing statistical relationships between data series over time, thus allowing insights into how market dynamics may change following a disease outbreak. …”
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Multivariate time series modeling of short-term system scale irrigation demand by Teluguntla, P., Ryu, D., George, B.A., Malano, H.M.M., Walker, J.P.

“…Here we developed a multivariate time series (ARMAX) model to forecast irrigation demands with respect to aggregated service points flows (IDCGi, ASP) and off take regulator flows (IDCGi, OTR) based across 5 command areas, which included area covered under four irrigation channels and the study area. …”
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TAAT technology toolkits and their strategic delopyment: Clearinghouse technical report series 001 by Technologies for African Agricultural Transformation

“…It is led by the International Institute of Tropical Agriculture (IITA) and structured as a series of Value Chain Compacts, each with its own Technology Toolkits, impact targets, and partnership arrangements. …”
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El manejo de recursos de uso común: un experimento económico en Yuscarán by Pinto D., Alejandra M.

“…El manejo de los recursos naturales de uso común (RUC) engloba una serie de problemas relacionados a las acciones colectivas e interacción entre la sociedad y los ecosistemas. …”
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Shamba Shape Up Series 13: Impact of viewing on farmers' knowledge, attitude and practices by Makau, Charles, Alliance of Bioversity International and CIAT

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Bridging evidence and policy (BEP) seminar series: Crises and response – development and humanitarian in the MENA by Abdelfattah, Lina Alaaeldin, Jovanovic, Nina

“…Agile planning and evidence-based policymaking are needed to address these risks, protect vulnerable communities, and build resilience. …”
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C’est la vie! Mixed impacts of an edutainment television series in West Africa by Dione, Malick, Heckert, Jessica, Hidrobo, Melissa, Le Port, Agnès, Peterman, Amber, Seye, Moustapha

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Deployment of combined technologies to smallholder farmers in Kenya: Clearinghouse technical report series 002 by Technologies for African Agricultural Transformation

“…Enterprise opportunities based upon the Orange Fleshed Sweet Potato are becoming realized. …”
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Elaboración de un sistema mundial de mapas agrícolas, Gallo´s World Agribusiness Map System at Zamorano (GWAMZ) by Carrera P., Raúl R.

“…El cual proporciona en una sola base de datos información de diversas variables socio y agroeconómicas como: población, PIB per cápita, producción, exportaciones e importaciones de productos agrícolas específicos a nivel mundial. …”
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African Union Strategic Climate Investment Partnership Roundtable: Working Group Information Brief Series by Chevallier, Romy, Gosling, Amanda

“…The eleven briefs covered the thematic areas of the Strategy including governance and policy, the blue economy, digital transformation, energy systems, food systems, gender and youth inclusion, industrialisation, land-based ecosystems, transport, urbanisation and water systems. …”
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Modelación de la operación de un sistema hidroeléctrico en serie, caso del embalse Arenal, Costa Rica by Goitia Antezana, Jorge M.

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Irrigated areas of India derived using MODIS 500 m time series for the years 2001-2003 by Dheeravath, Venkateswarlu, Thenkabail, Prasad S., Chandrakantha, G., Noojipady, P., Reddy, G.P.O., Biradar, Chandrashekhar M., Gumma, Murali K., Velpuri, Naga Manohar

“…The overarching goal of this research was to develop methods and protocols for mapping irrigated areas using a Moderate Resolution Imaging Spectroradiometer (MODIS) 500 m time series, to generate irrigated area statistics, and to compare these with ground- and census-based statistics. …”
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Crop recognition at orchard level in Mediterranean conditions using time series of Sentinel-2 spectral indices by Moltó, Enrique, Izquierdo-Sanz, Héctor

“…This work describes preliminary work for constructing and validating a classification model for automatic identification of crops in an agricultural zone where different species of fruit trees are cultivated. The model is based on the analysis of time series of two spectral indices obtained from Sentinel-2 images and using a Fourier decomposition approach. …”
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Length of Growing Period over Africa: Variability and Trends from 30 Years of NDVI Time Series by Vrieling, A., Leeuw, Jan de, Said, Mohammed Yahya

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India NPS Seminar Series: Water & Energy Policies for Transforming Agri-Food Systems - Oct 2022 (Blog) by CGIAR

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Shamba shape up series 13 - Ep 11: Financial Literacy, chicken, climate literacy and soil health by Burra, Dharani Dhar, Ramírez Villegas, Julián Armando, Rottmann, Sophie, Galgallo, Diba, Murage, Paul, Campbell, David

“…This episode, part of Series 13, was broadcast during the 2023 long rains in Kenya. …”
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Change point-driven interrupted time series and machine learning models for forecasting Indian food grain production by Chitikela, Gayathri, Rathod, Santosha, Vijayakumar, S.

“…This approach offers valuable insights into addressing structural shifts in agricultural systems, improving production forecasting, and supporting evidence-based policy-making in developing economies.…”
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基于多时相遥感影像的东北三省作物分布信息提取 by Hao, W., Mei, X., Xueliang Cai, Du, J., Liu, Q.

“…Spatial pattern of crop planting was obtained based on 16-day time-series MODIS 250m NDVI data from 2007 to 2008, Landsat enhanced thematic mapper plus (ETM+) images, and ground truth data using Optimal Iteration Unsupervised Classification, spectral matching technique (SMT) and Google Earth. …”
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Barking up the right tree: binomial option valuation of investments in steel making : a case study of Metals and Polymers (Ukraine) by Serebrennikov, Dmytro