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CGIAR Platform for Big Data in Agriculture - Plan of Work and Budget 2021 by CGIAR Platform for Big Data in Agriculture

“…The CGIAR Platform for Big Data in Agriculture is a cross-cutting program of the global CGIAR consortium of non-profit research institutes looking into virtually every aspect of food security spanning: genomics, breeding, agroecology, climate science, and the socioeconomic drivers and context of food systems change. …”
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Thinking big for smallholder agriculture: realizing agricultural potentials in changing times by Prager, Steven, Schiek, Benjamin E., Petsakos, Athanasios, Kruseman, Gideon K., Gbegbelegbe, Sika, Terheggen, Anne, Mason-D'Croz, Daniel

“…Quantitative foresight approaches facilitate understanding of different plausible scenarios, especially as related to both endogenous and exogenous factors (e.g., global markets and climate change). These approaches tend to be macroeconomic in nature and resolve trends relative to coarse-grained drivers. …”
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CGIAR Platform for Big Data in Agriculture: Summary Report 2017-2021 by CGIAR Platform for Big Data in Agriculture

Subjects: “…big data…”
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CGIAR Collaborative Platform for Gender Research - Gender meets big data by Tyszler, Marcelo

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Hermetic Super bags for safe storage of rice grains and seeds commercialized by CGIAR Research Program on Rice

“…The IRRI Super Bag makes the principle of hermetic storage available to farmers and processors storing cereal grains and other crops (e.g., maize or coffee). …”
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ISPC Assessment of the Platform on Big Data revised proposal (2017-2022) by CGIAR Independent Science and Partnership Council

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Agriculture, Nutrition, and Gender Linkages (ANGeL) Baseline Study Results by Ahmed, Akhter

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Small children but big numbers: Estimating the economic benefits of addressing undernutrition by Alderman, Harold

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Can we use Big Data to monitor SDGs 1&2? by Koo, Jawoo

Subjects: “…big data…”
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Bangladesh Agricultural Value Chain (AVC) Impact Evaluation: Midline Survey by International Food Policy Research Institute

“…Funded under the Feed the Future (FTF) Initiative, the Bangladesh Agricultural Value Chains (AVC) project being implemented by Development Alternatives International (DAI) is working to improve food (and nutrition) security through strengthened agricultural value chains. …”
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Bangladesh Agricultural Value Chain (AVC) Impact Evaluation: Endline Survey by International Food Policy Research Institute

“…This dataset contains data from the final round of household survey interviews from the Impact Evaluation associated with the Bangladesh AVC project, which covered producer and input retailer households for two value chains. …”
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Bangladesh Agricultural Value Chain (AVC) Impact Evaluation: Baseline Survey by International Food Policy Research Institute

“…Funded under the Feed the Future (FTF) Initiative, the Bangladesh Agricultural Value Chains (AVC) project being implemented by Development Alternatives International (DAI) is working to improve food (and nutrition) security through strengthened agricultural value chains. …”
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Big cities, small towns, and poor farmers: Evidence from Ethiopia by Vandercasteelen, Joachim, Beyene, Seneshaw Temru, Minten, Bart, Swinnen, Johan

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How big are post-harvest losses in Ethiopia? Evidence from teff by Minten, Bart, Engida, Ermias, Tamru, Seneshaw

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Synopsis: How big are post-harvest losses? Evidence from teff by Minten, Bart, Engida, Ermias, Tamru, Seneshaw

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Small farmers and big retail: Trade-offs of supplying supermarkets in Nicaragua by Michelsen, H., Reardon, Thomas, Perez, F.

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Big research ideas at ILRI—Mario Herrero on the recent PLE meeting by Herrero, Mario

“…ILRI's Mario Herrero reflects on a recent internal 'big research ideas' competition within ILRI's People Livestock and Environment research theme.…”
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Leptocorisa acuta vs oratorius: a Clarification of Rice Bug Species by Barrion, A.T., Litsinger, J.A.

Subjects: “…bugs…”
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Technical architecture for the development and deployment of Climate Smart Governance (CSG) Dashboard by Alahacoon, Niranga, Amarnath, Giriraj, Kuruganti, P. N., Racherla, S. K.

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Machine learning algorithms translate big data into predictive breeding accuracy by Crossa, José, Montesinos-Lopez, Osval A., Costa-Neto, Germano, Vitale, Paolo, Martini, Johannes W.R., Runcie, Daniel E., Fritsche-Neto, Roberto, Montesinos-Lopez, Abelardo, Perez-Rodriguez, Paulino, Gerard, Guillermo S., Dreisigacker, Susanna, Crespo-Herrera, Leonardo A., Saint Pierre, Carolina, Lillemo, Morten, Cuevas, Jaime, Bentley, Alison R., Ortiz, Rodomiro

Subjects: “…big data…”
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