Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India
This paper provides a formative evaluation of picture-based advisories (PBA), using a cluster randomized trial in the states of Punjab and Haryana in northern India. The study randomly assigned 203 villages to one of three treatment arms: a control group, in which farmers received generic agricultur...
| Main Authors: | , , |
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| Format: | Artículo preliminar |
| Language: | Inglés |
| Published: |
CGIAR Research Program on Climate Change, Agriculture and Food Security
2021
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| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/117330 |
| _version_ | 1855520175924707328 |
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| author | Ceballos, Francisco Kannan, Samyuktha Kramer, Berber |
| author_browse | Ceballos, Francisco Kannan, Samyuktha Kramer, Berber |
| author_facet | Ceballos, Francisco Kannan, Samyuktha Kramer, Berber |
| author_sort | Ceballos, Francisco |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This paper provides a formative evaluation of picture-based advisories (PBA), using a cluster randomized trial in the states of Punjab and Haryana in northern India. The study randomly assigned 203 villages to one of three treatment arms: a control group, in which farmers received generic agricultural advisories; a PBA treatment arm, in which farmers received not only generic advisories but also PBA messages personalized based on smartphone images of their crops; and a treatment arm in which farmers received picture-based insurance (PBI) coverage for visible damage to insured crops in addition to the generic and PBA messages. We find high participation among all groups of farmers, regardless of potential digital divides, indicating feasibility of an inclusive PBA approach. Moreover, PBA improved farmers’ knowledge around good agricultural practices. Although this did not translate into increased adoption of recommended practices in the short run, farmers do report that the advisory service helps them reduce risk, providing a business case for bundling this service with insurance. |
| format | Artículo preliminar |
| id | CGSpace117330 |
| institution | CGIAR Consortium |
| language | Inglés |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| publisherStr | CGIAR Research Program on Climate Change, Agriculture and Food Security |
| record_format | dspace |
| spelling | CGSpace1173302025-11-06T05:43:46Z Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India Ceballos, Francisco Kannan, Samyuktha Kramer, Berber insurance willingness to pay agricultural extension surveys technology farmers capacity development agriculture crop insurance food security imagery information and communication technologies smartphones digital technology climate change This paper provides a formative evaluation of picture-based advisories (PBA), using a cluster randomized trial in the states of Punjab and Haryana in northern India. The study randomly assigned 203 villages to one of three treatment arms: a control group, in which farmers received generic agricultural advisories; a PBA treatment arm, in which farmers received not only generic advisories but also PBA messages personalized based on smartphone images of their crops; and a treatment arm in which farmers received picture-based insurance (PBI) coverage for visible damage to insured crops in addition to the generic and PBA messages. We find high participation among all groups of farmers, regardless of potential digital divides, indicating feasibility of an inclusive PBA approach. Moreover, PBA improved farmers’ knowledge around good agricultural practices. Although this did not translate into increased adoption of recommended practices in the short run, farmers do report that the advisory service helps them reduce risk, providing a business case for bundling this service with insurance. 2021-12-22 2022-01-03T14:23:29Z 2022-01-03T14:23:29Z Working Paper https://hdl.handle.net/10568/117330 en Open Access application/pdf CGIAR Research Program on Climate Change, Agriculture and Food Security Ceballos F, Kannan S, Kramer B. 2021. Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India. CCAFS Working Paper no. 406. Wageningen, the Netherlands: CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS). |
| spellingShingle | insurance willingness to pay agricultural extension surveys technology farmers capacity development agriculture crop insurance food security imagery information and communication technologies smartphones digital technology climate change Ceballos, Francisco Kannan, Samyuktha Kramer, Berber Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India |
| title | Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India |
| title_full | Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India |
| title_fullStr | Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India |
| title_full_unstemmed | Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India |
| title_short | Assessing feasibility and effects of personalized remote advisories based on smartphone pictures: A formative evaluation in India |
| title_sort | assessing feasibility and effects of personalized remote advisories based on smartphone pictures a formative evaluation in india |
| topic | insurance willingness to pay agricultural extension surveys technology farmers capacity development agriculture crop insurance food security imagery information and communication technologies smartphones digital technology climate change |
| url | https://hdl.handle.net/10568/117330 |
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