Impacts of personalized picture-based crop advisories: Experimental evidence from India and Kenya

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dc.creatorCeballos, Francisco
dc.creatorChugh, Aditi
dc.creatorKramer, Berber
dc.date2024-12-31
dc.date2025-01-17T16:08:45Z
dc.date2025-01-17T16:08:45Z
dc.date.accessioned2026-06-27T15:42:53Z
dc.descriptionThe rise of artificial intelligence (AI) has heightened interest in digital models to strengthen agricultural extension. Such tools could help provide personalized advisories tailored to a farmer's unique conditions at scale and at a low cost. This study evaluates the fundamental assumption that personalized crop advisories are more effective than generic ones. By means of a large-scale randomized controlled trial (RCT), we assess the impact of personalized picture-based advisories on farmers’ perceptions, knowledge and adoption of recommended inputs and practices, and other downstream outcomes. We find that personalizing advisories does not significantly improve agricultural outcomes compared to generic ones. While farmers who engage relatively more with advisories (i.e., those who receive and read a substantial number of messages based on self-reports) tend to achieve better outcomes, this is irrespective of whether the advisories they receive are tailored to their specific situation or not. We conclude that investments in digital extension tools should aim to enhance engagement with advisories rather than focusing solely on personalization.
dc.formatapplication/pdf
dc.identifierhttps://hdl.handle.net/10568/169348
dc.identifier.urihttp://hdl.handle.net/123456789/112564
dc.languageen
dc.publisherInternational Food Policy Research Institute
dc.rightsOpen Access
dc.sourceCeballos, Francisco; Chugh, Aditi; and Kramer, Berber. 2024. Impacts of personalized picture-based crop advisories: Experimental evidence from India and Kenya. IFPRI Discussion Paper 2322. Washington, DC: International Food Policy Research Institute. https://hdl.handle.net/10568/169348
dc.subjectagricultural extension
dc.subjectartificial intelligence
dc.subjectfarmers
dc.subjectinputs
dc.titleImpacts of personalized picture-based crop advisories: Experimental evidence from India and Kenya
dc.typeWorking Paper

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Instituto Internacional de Investigación sobre Políticas Alimentarias (IFPRI)