Converting interview-based crop field histories into synthetic "cultivation practices" variables using R v1

This protocol proposes an automated method for converting ten years of data on agricultural operations in a crop field into a series of variables that synthesize the cultivation practices applied to the crop during that period. The two attached files allow you to (i) store the ten-year cultivation history of crop fields collected from farmer interviews in an Excel file and (ii) automatically synthesize these histories into a series of "cultivation practices" variables using an RMarkDown script. Although the files were designed for the Belgian context of 2023, they can be adapted for other countries and years by modifying the reference data.

Authors

Institutions

Publication Details

Published
2025-08-14
DOI
https://doi.org/10.17504/protocols.io.kxygx43m4l8j/v1
Primary Topic
Sustainable Agricultural Systems Analysis
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Converting interview-based crop field histories into synthetic "cultivation practices" variables using R v1

Lola Leveau
1 links
Sustainable Agricultural Systems Analysis
article

Converting interview-based crop field histories into synthetic "cultivation practices" variables using R v1

Lola Leveau
article en

Abstract

This protocol proposes an automated method for converting ten years of data on agricultural operations in a crop field into a series of variables that synthesize the cultivation practices applied to the crop during that period. The two attached files allow you to (i) store the ten-year cultivation history of crop fields collected from farmer interviews in an Excel file and (ii) automatically synthesize these histories into a series of "cultivation practices" variables using an RMarkDown script. Although the files were designed for the Belgian context of 2023, they can be adapted for other countries and years by modifying the reference data.

UCLouvain (BE)
Université Catholique de Louvain
Openalex Percentile: Top 82%
Sustainable Agricultural Systems Analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Converting interview-based crop field histories into synthetic "cultivation practices" variables using R v1 — Lola Leveau · (2025) | TGRS Research Map | TGRS