CGIAR BigData Reports

Permanent URI for this collectionhttps://hdl.handle.net/10568/89432

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ISPC Assessment of the Platform on Big Data revised proposal (2017-2022)
(Independent Commentary, 2016-09-14) CGIAR Independent Science and Partnership Council
Cross-Cutting Learning from Evaluations: CGIAR Excellence in Breeding and Big Data in agriculture Platforms
(Brief, 2022-09) CGIAR Independent Advisory and Evaluation Service
This cross-cutting brief analyzes learning and recommendations by five themes (governance, gender, partnerships, people, and capacities, and monitoring, evaluation, and learning) across the CGIAR Excellence in Breeding (EiB) Platform and Platform for Big Data in Agriculture evaluations. Lessons from the brief are intended to be applied across CGIAR's portfolio and to inform interventions outside CGIAR that pursue similar objectives
CGIAR Platform for Big Data in Agriculture Annual report 2021
(Annual Report, 2022-06) CGIAR Platform for Big Data in Agriculture
Evaluation of CGIAR Platform for Big Data in Agriculture
(Evaluation Report, 2021-12) Jouini, Ibtissem; Leibovici, Didier; Kurian, Mathew; Bongcam-Rudloff, Erik.; Kieti, John; Sellitti, Stefania
Accelerating digital technology in agriculture: India agtech startups’ transition to scale
(Report, 2021-12) King, Brian; Wong, Kelvin; Dhulipala, Ram; Southwood, Russell
Digital technologies and services are rapidly expanding in virtually every aspect of the global economy and society, and the agriculture sector is no exception. This expansion creates new opportunities to deploy massive, agile, personalized, cost-effective, and digitally-enabled agricultural services capable of reaching even the poorest and most vulnerable populations , and driving a new digital revolution in agriculture that may prove to be as consequential as the Green Revolution of 1965-1986. There are, however, significant challenges that need to be addressed to ensure this revolution does not by-pass smallholder farmers and includes the widespread adoption and use of digital agricultural technology among them. This study has two objectives. The first is to develop a better understanding of the challenges that digital agriculture (“AgTech”) startups face as they seek to progress from proof of concept to profitable growth, and, ultimately, to operation at large scale. The focus is on startups because they can play a critical role in extending AgTech innovation and services to a broader consumer base, including poorer customers, and help build an inclusive digital agriculture revolution. If Christensen’s argument holds true, new market-entrant startups can drive down costs and expand the reach of AgTech services and innovation in ways that established firms are incapable of doing or are unwilling to do. The second objective is to synthesize useful knowledge based on these results and develop recommendations for actions that help accelerate AgTech startups’ transitions to scale so they can serve smallholders profitably, equip food and farming systems with new tools to sustainably increase productivity, and support their adaptation to changing climatic and economic conditions.
Increasing interoperability between food and agricultural systems: CGIAR and FAO collaboration
(Report, 2021-11) Arnaud, Elizabeth; Obileye, Olatunbosun; Bonaiuti, Enrico; Jani, Sara; Kim, Soonho; Laporte, Marie-Angélique; Muliro, Jacqueline; Saito, Erica; Yabowork, Abenet; Zúñiga, Araceli; Jeitani, Asma; Adepoju, Hafeez; Garruccio, Maria; Ghazali, Saadiah; Subbirats, Imma; Kolshus, Kristin
It is crucial that data resources can talk to each other through thesaurus, ontologies and standards. Therfore, the integration of CGIAR controlled vocabularynto the AGROVOC thesaurus is key to interlink our data sets and publications in the food and agricultural domain and produce multilingual quality labeling. The Task Group and a curation team defined the added value for the CGIAR to formally contribute to AGROVOC, and how to organize CGIAR contribution in a coherent workflow. The recommendations are the following: 1. One CGIAR needs to strengthen its contribution to AGROVOC thus supporting the consolidation of the semantic landscape for labeling data in agriculture and food systems. 2.CGIAR centers should wait a bit till the affiliation process is complete so that the appropriate unit that will be responsible for AGROVOC can consume the Agreement since the timeline for the affiliation process is just some few months away. 3.OneCGIAR data managers will have to sustain the collaboration and submit terms to populate the ONECGIAR concepts schema newly created to provide direct visibility of the set of concepts (https://agrovoc.fao.org/skosmosOneCGIAR/cgiar/en/ ). Based on the collaboration concrete results, The TG recommends that the term submission effort and collaboration with FAO continues with proper allocation of data managers’ time and a training plan. Contribution to AGROVOC should be part of the data managers ToRs to concrete provide recognition of this role.
Promoting inclusivity and equity in information and communications technology for food, land, and water systems
(Report, 2021-09) Ng, Michelle; Haan, Nicoline C. de; King, Brian; Langan, Simon J.
Food, land, and water systems underpin the health of societies and the environment, yet they are facing pressure from climate change, population growth, urbanization, and the overexploitation of natural resources. Information and Communication Technologies (ICTs) have the potential to support food, land, and water systems in response to these challenges. This report explores issues of inclusivity and equity of ICTs and how these technologies might be better used to their full potential.
CGIAR Platform for Big Data in Agriculture Annual Report 2020
(Report, 2021-08) CGIAR Platform for Big Data in Agriculture
The Platform completed its fourth year as a CGIAR global digital practice, demonstrating that open data standards, sharing, and analytic infrastructure; partnerships and communities of practice; and applied innovation strategy reinforce each other to accelerate inclusive, impactful digitization in agricultural development. In 2020, BIG DATA brokered 72 external partnerships to drive digital innovation in research and unlock data sharing across public, private, and non-profit organizations; and delivered 22 digital innovations and policies to build new digital impact pathways for CGIAR research. Through its programming, partnerships, and strategic research, BIG DATA demonstrated that mission-driven “earth shots” in food security are achievable through digitally-enabled innovation and collective action, and that a unified CGIAR can play a key role in achieving them.
CGIAR Platform for Big Data in Agriculture - Inspire Challenge Review (2017-2020)
(Report, 2021-03-29) Mockshell, Jonathan Yaw; Nielsen Ritter, Thea; Asante-Addo, Collins; Ankamah-Yeboah, Isaac; Wong, Kelvin
This report provides evidence-based insights about the state of digital agricultural innovations through the eyes of the Inspire Challenge, which can help design and support future Digital Agricultural Innovation System (DAIS) in the One CGIAR. The results show that the first phase of the Inspire Challenge program was successful at serving as a DAIS enabler by creating partnerships in the digital agricultural ecosystem, which led to digital innovations in food systems.
Toward a digital One CGIAR: Strategic research on digital transformation in food, land, and water systems in a climate crisis
(Report, 2021-04) King, Brian; Devare, Medha; Overduin, Mathilde; Wong, Kelvin; Kropff, Wietske; Pérez, Sandra; Güereña, David T.; McDade, Marianne; Kruseman, Gideon K.; Reynolds, Matthew P.; Molero, Anabel; Sonder, Kai; Arnaud, Elizabeth; Jiménez, Daniel; Koo, Jawoo; Jarvis, Andy
The global research consortium CGIAR is restructuring itself to build a more integrated global organization (“One CGIAR”) that fully leverages its strengths and refocuses its research strategy through 2030 in service of a renewed mission: End hunger—through science to transform food, land, and water systems in a climate crisis. The CGIAR Platform for Big Data in Agriculture led strategic research in support of this effort, looking into digital trends that have the potential to transform global agriculture in the coming years, the roles public-interest organizations should play in the digital agriculture landscape, and the capabilities CGIAR must have if it is to use data and digital technology to their full potential in the service of its mission.
Digital Agriculture Profile: Côte d'Ivoire
(Report, 2021-04) Traoré, Sékou Amadou; Mabaya, Edward; Afun-Ogidan, Olukemi Dolly; Ajilore, Bunmi; Girvetz, Evan Hartunian; Jarvis, Andy; Kropff, Wietske
This Digital Agriculture Profile for Côte D’Ivoire leverages the expertise of stakeholders to evaluate the current landscape of digital agriculture in Côte D’Ivoire, including its key players across value chains, the main barriers they face, and the potential to overcome these barriers through the adoption of innovative technologies.
Digital Agriculture Profile: Rwanda
(Report, 2021-04) Kropff, Wietske; Mabaya, Edward; Afun-Ogidan, Olukemi Dolly; Girvetz, Evan Hartunian; Jarvis, Andy
This Digital Agriculture Profile for Rwanda leverages the expertise of stakeholders to evaluate the current landscape of digital agriculture in Rwanda, including its key players across value chains, the main barriers they face, and the potential to overcome these barriers through the adoption of innovative technologies.
Digital Agriculture Profile: South Africa
(Report, 2021-04) Born, Lorna; Chirinda, Ngonidzashe; Mabaya, Edward; Afun-Ogidan, Olukemi Dolly; Girvetz, Evan Hartunian; Jarvis, Andy; Kropff, Wietske
This Digital Agriculture Profile for South Africa leverages the expertise of stakeholders to evaluate the current landscape of digital agriculture in the country, including key players across the value chains, the main barriers they face, and the potential to overcome those barriers through the adoption of innovative technologies.
Digital Agriculture Profile: Argentina
(Report, 2021-04) Muñoz, Luis Armando; Gómez, Maria Camila; Jiménez, Daniel; Hasiner, Eva; Schroeder, Kateryna; Treguer, David; Juergenliemk, Armine; Horst, Alexandra; Jarvis, Andy; Kropff, Wietske
This Digital Agriculture Profile for Argentina leverages the expertise of stakeholders to evaluate the current landscape of digital agriculture in Argentina, taking into account its key actors across value chains, the main challenges they face, and the potential to overcome these barriers through the adoption of innovative digital technologies.
Digital Agriculture Profile: Grenada
(Report, 2021-04) Kropff, Wietske; Eitzinger, Anton; Hasiner, Eva; Schroeder, Kateryna; Treguer, David; Juergenliemk, Armine; Horst, Alexandra; Jarvis, Andy
This Digital Agriculture Profile for Grenada leverages the expertise of stakeholders to evaluate the current landscape of digital agriculture in the country, including its key players across value chains, the main barriers faced, and the potential to overcome these barriers through the adoption of innovative technologies.
Digital Agriculture Profile: Kenya
(Report, 2021-04) Osiemo, Jamleck; Girvetz, Evan Hartunian; Hasiner, Eva; Schroeder, Kateryna; Treguer, David; Juergenliemk, Armine; Horst, Alexandra; Jarvis, Andy; Kropff, Wietske
This Digital Agriculture Profile for Kenya leverages the expertise of stakeholders to evaluate the current landscape of digital agriculture in Kenya, including its key players across value chains, the main barriers they face, and the potential to overcome these barriers through the adoption of innovative technologies.
Digital Agriculture Profile: Turkey
(Report, 2021-04) Kropff, Wietske; Eitzinger, Anton; Hasiner, Eva; Schroeder, Kateryna; Treguer, David; Juergenliemk, Armine; Horst, Alexandra; Jarvis, Andy
This Digital Agriculture Profile for Turkey leverages the expertise of in-country stakeholders to evaluate the current landscape of digital agriculture in Turkey including its key players across value chains, the main barriers they face, and the potential to overcome these barriers through the adoption of innovative technologies.
Digital Agriculture Profile: Viet Nam
(Report, 2021-04) Burra, Dharani Dhar; Hildebrand, Jack; Giles, James; Nguyen, Thuy; Hasiner, Eva; Schroeder, Kateryna; Treguer, David; Juergenliemk, Armine; Horst, Alexandra; Jarvis, Andy; Kropff, Wietske
Digital technologies are slowly spreading in agriculture sectors globally. But their adoption is hampered by the digital divide which requires significant public investments, improved policy and incentive frameworks to be bridged. Only after that, digital transformation will take place at scale. Digital Agriculture Profile (DAP) is meant to assess the country's readiness for this digital transformation by identifying main bottlenecks, opportunities and risks for digital transformation. DAP will thus guide public investment and policy work to accelerate the scaling up of digital transformation.
Building a Data Ecosystem for Food Security and Sustainability in AgTech V3.0.
(Report, 2020-12) Southwood, Russell; Wong, Kelvin
CGIAR Platform for Big Data in Agriculture. Crop Modeling Community of Practice Mini-Grants Report 2020
(Report, 2020-12) Molero Milan, Anabel; Reynolds, Matthew P.; Pequeno, Diego Notelo Luz; Kholová, Jana; Swarna, Ronanki; Schulthess, Urs C.; Xiong, Wei

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