Accurate and scalable methods for land area measurement are essential for estimating key agricultural indicators, such as crop yields, as well as understanding agricultural relationships. A significant body of literature has demonstrated systematic bias in farmer estimates of land area, the most inexpensive option, and at the same time provided evidence supporting the use of handheld GPS units for objective measurement. Despite the successful adoption of handheld GPS measurement in many survey operations, new tablet-based tools offer potential for smoother, more cost-effective measurement of land area. Using data collected in a methodological experiment in Uganda, this study evaluates the accuracy and operational trade-offs of tablet-based area measurement tools, both with and without the support of GPS-boosting devices, relative to handheld Garmin GPS units. Findings demonstrate that both tablet-based approaches are highly correlated with handheld GPS measurements, with relatively small but statistically significant differences in means. On average, the boosted and unboosted tablet measures exhibit an absolute percentage error of approximately 11 and 12 percent, respectively, with underestimation more pervasive than overestimation. Importantly, findings highlight that even small differences in land area measurement can lead to substantial variations in yield and production estimates, underscoring the critical role of measurement method for agricultural productivity analysis and policy. From an implementation perspective, the tablet-based approach offers clear advantages, with a significantly reduced burden of data cleaning and processing compared to handheld GPS data and enumerators facing few technical challenges.
| Repository name | URI |
|---|---|
| Reproducible Research Repository (World Bank) | https://reproducibility.worldbank.org |
Paper exhibits were reproduced on a computer with the following specifications:
• OS: Windows 11 Enterprise
• Processor: Intel(R) Xeon(R) Gold 5218 CPU @ 2.30GHz, 2300 Mhz, 4 Core(s), 4 Logical Processor(s)
• Memory available: 8.15 GB
• Software version: Stata 19.5 MP
Approximate run time: ~ 1 minute.
To reproduce the findings in this paper, users must do the following:
01_main_analysis do-file and update the file paths to match your local environment.Note: The reproducibility package begins with intermediate data (
data_main.dta), as the raw data
is confidential. Replicators virtually verified the construction of this intermediate dataset
from the restricted raw data. The datasetdata_main.dtaincluded in this package as the starting
point for replication is the dataset produced during that virtual verification.
Some data is restricted and has not been included in the reproducibility package. For more details, please refer to the README file. Intermediate data is included in the reproducibility package and can be used to fully reproduce the results in the paper.
| Author | Affiliation | |
|---|---|---|
| Sydney Gourlay | World Bank | sgourlay@worldbank.org |
| Federica Petruccelli | Department of Social Sciences and Economics, Sapienza University of Rome; World Bank | federica.petruccelli@uniroma1.it |
| Adriana Paolantonio | World Bank | apaolantonio@worldbank.org |
| John Ilukor | World Bank | jilukor@worldbank.org |
| Emanuele Clemente | World Bank | eclemente@worldbank.org |
2026-03-30
| Location | Code |
|---|---|
| Uganda | UGA |
The materials in the reproducibility packages are distributed as they were prepared by the staff of the International Bank for Reconstruction and Development/The World Bank. The findings, interpretations, and conclusions expressed in this event do not necessarily reflect the views of the World Bank, the Executive Directors of the World Bank, or the governments they represent. The World Bank does not guarantee the accuracy of the materials included in the reproducibility package.
| Name | URI |
|---|---|
| Modified BSD3 | https://opensource.org/license/bsd-3-clause/ |
| Name | Affiliation | |
|---|---|---|
| Sydney Gourlay | World Bank | sgourlay@worldbank.org |
| Reproducibility WBG | World Bank | reproducibility@worldbank.org |
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Reproducibility WBG | DECDI | World Bank - Development Impact Department | Verification and preparation of metadata |
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