Agri Digitalization Framework (AgDx) – Methodology Report
The agriculture sector faces significant challenges, including limited access to technology, markets, and finance for small farmers. Accelerating digitalization can improve productivity, reduce wastage, and support food security while protecting the environment. With the digital agriculture market i...
| Autores principales: | , , , , |
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| Formato: | Informe técnico |
| Lenguaje: | Inglés |
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International Livestock Research Institute
2024
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| Acceso en línea: | https://hdl.handle.net/10568/169276 |
| _version_ | 1855537806379581440 |
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| author | Rangrass, Sanjiv Mehrotra, Nipun Mehrotra, Navya Dhulipala, Ram Singh, Kanika |
| author_browse | Dhulipala, Ram Mehrotra, Navya Mehrotra, Nipun Rangrass, Sanjiv Singh, Kanika |
| author_facet | Rangrass, Sanjiv Mehrotra, Nipun Mehrotra, Navya Dhulipala, Ram Singh, Kanika |
| author_sort | Rangrass, Sanjiv |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | The agriculture sector faces significant challenges, including limited access to technology, markets, and finance for small farmers. Accelerating digitalization can improve productivity, reduce wastage, and support food security while protecting the environment. With the digital agriculture market in India projected to reach $24 billion by 2025, collaboration across stakeholders is vital. To aid this, the Digital Innovation Initiative, in partnership with The Agri Collaboratory (TAC), is developing the Agri Digitalisation Framework (AgDx), a farmer-first index to evaluate the penetration, maturity, and impact of digital agriculture practices across states and value chains. Standardized frameworks and benchmarks like AgDx are essential to reduce duplication and help expand digital adoption from 15-20% to 50% among farmers |
| format | Informe técnico |
| id | CGSpace169276 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2024 |
| publishDateRange | 2024 |
| publishDateSort | 2024 |
| publisher | International Livestock Research Institute |
| publisherStr | International Livestock Research Institute |
| record_format | dspace |
| spelling | CGSpace1692762025-12-08T09:54:28Z Agri Digitalization Framework (AgDx) – Methodology Report Rangrass, Sanjiv Mehrotra, Nipun Mehrotra, Navya Dhulipala, Ram Singh, Kanika data methodology The agriculture sector faces significant challenges, including limited access to technology, markets, and finance for small farmers. Accelerating digitalization can improve productivity, reduce wastage, and support food security while protecting the environment. With the digital agriculture market in India projected to reach $24 billion by 2025, collaboration across stakeholders is vital. To aid this, the Digital Innovation Initiative, in partnership with The Agri Collaboratory (TAC), is developing the Agri Digitalisation Framework (AgDx), a farmer-first index to evaluate the penetration, maturity, and impact of digital agriculture practices across states and value chains. Standardized frameworks and benchmarks like AgDx are essential to reduce duplication and help expand digital adoption from 15-20% to 50% among farmers 2024-12-15 2025-01-16T15:48:07Z 2025-01-16T15:48:07Z Report https://hdl.handle.net/10568/169276 en Open Access application/pdf International Livestock Research Institute Rangrass, Sanjiv, Mehrotra, Nipun, Mehrotra, Navya, Dhulipala, Ram, Singh, Kanika. 2024. Agri Digitalization Framework (AgDx) – Methodology Report. Report. ILRI. Kenya |
| spellingShingle | data methodology Rangrass, Sanjiv Mehrotra, Nipun Mehrotra, Navya Dhulipala, Ram Singh, Kanika Agri Digitalization Framework (AgDx) – Methodology Report |
| title | Agri Digitalization Framework (AgDx) – Methodology Report |
| title_full | Agri Digitalization Framework (AgDx) – Methodology Report |
| title_fullStr | Agri Digitalization Framework (AgDx) – Methodology Report |
| title_full_unstemmed | Agri Digitalization Framework (AgDx) – Methodology Report |
| title_short | Agri Digitalization Framework (AgDx) – Methodology Report |
| title_sort | agri digitalization framework agdx methodology report |
| topic | data methodology |
| url | https://hdl.handle.net/10568/169276 |
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