Remote Sensing, Surveys, and Stories: Lessons From a Mixed-Methods Retrospective Evaluation of a Digital Agriculture App in Nepal

Evaluation methods have recently expanded, with options ranging from remote sensing to qualitative and quantitative methods, but deciding which to use can be challenging. This paper explores three evaluation methodologies used to retrospectively evaluate an agricultural app in Nepal. This includes using remote sensing to measure vegetation health, a limited quantitative survey to explore app usage and GPS accuracy, and qualitative interviews to contextualize app usage. Remote sensing outcomes show no differences in outcomes for farmers who utilized the app more, while the quantitative survey highlights that app usage was limited and the GPS data should be approached with caution. Qualitative results indicate that while the app attracted interest from local farmers, continued support could have increased usage. While these methods are useful individually, only by laying them together can we evaluate the strengths and weaknesses of each one, while gaining a holistic view of the app rollout and training.

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Publication Details

Journal
American Journal of Evaluation
Published
2026-10-27
DOI
https://doi.org/10.1177/10982140261492198
Primary Topic
Evaluation and Performance Assessment
Type
article
Field-Weighted Citation Impact
0.00

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article

Remote Sensing, Surveys, and Stories: Lessons From a Mixed-Methods Retrospective Evaluation of a Digital Agriculture App in Nepal

Danice Brown Guzman, Katherine A. Nolan, Lila Kumar Khatiwada, Shriniwas Gautam et al.
American Journal of Evaluation
Evaluation and Performance Assessment
article

Remote Sensing, Surveys, and Stories: Lessons From a Mixed-Methods Retrospective Evaluation of a Digital Agriculture App in Nepal

Danice Brown Guzman, Katherine A. Nolan, Lila Kumar Khatiwada, Shriniwas Gautam, Wanqi Zhu, Shreya Bhattacharya
article en

Abstract

Evaluation methods have recently expanded, with options ranging from remote sensing to qualitative and quantitative methods, but deciding which to use can be challenging. This paper explores three evaluation methodologies used to retrospectively evaluate an agricultural app in Nepal. This includes using remote sensing to measure vegetation health, a limited quantitative survey to explore app usage and GPS accuracy, and qualitative interviews to contextualize app usage. Remote sensing outcomes show no differences in outcomes for farmers who utilized the app more, while the quantitative survey highlights that app usage was limited and the GPS data should be approached with caution. Qualitative results indicate that while the app attracted interest from local farmers, continued support could have increased usage. While these methods are useful individually, only by laying them together can we evaluate the strengths and weaknesses of each one, while gaining a holistic view of the app rollout and training.

American Journal of Evaluation
University of Notre Dame (US), Reserve Bank of India (IN), William & Mary (US)
United States Agency for International Development
Zero hunger
Openalex Percentile: Top 10%
Evaluation and Performance Assessment
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Remote Sensing, Surveys, and Stories: Lessons From a Mixed-Methods Retrospective Evaluation of a Digital Agriculture App in Nepal — Danice Brown Guzman, Katherine A. Nolan, et al. · American Journal of Evaluation (2026) | TGRS Research Map | TGRS