# From pesticides use to agroecology: Survey dataset on farming systems in the Lake Guiers area in Senegal

**Authors:** Mamadou B. Traoré, Raphaël Belmin, Rahim Ouedraogo, Paula Fernandes, Dieynaba Sall Sy, Hassna Founoune, Djibril Djigal, Mamadou Ba, Ousmane Samaké, Frédéric Feder, Aboubacry Kane, Marie-Liesse Vermeire

PMC · DOI: 10.1016/j.dib.2026.112577 · Data in Brief · 2026-02-14

## TL;DR

This paper presents a survey dataset of 310 farmers in Senegal, detailing their agricultural practices, socio-economic conditions, and agroecological approaches.

## Contribution

The dataset provides the first comprehensive description of farming systems around Lake Guiers, supporting future analyses of agroecological transitions.

## Key findings

- The dataset captures pesticide and fertilizer use, socio-economic factors, and climate perceptions of farmers.
- It offers a baseline for analyzing agroecological practices and environmental performance in the region.
- The dataset supports future studies on sustainable land and water management in sub-Sahelian contexts.

## Abstract

The dataset was constructed from surveys of 310 farmers operating in irrigated agricultural zones surrounding Lake Guiers in northern Senegal. The survey was carried out from the 09 to the 20 of March 2023, using KoboToolbox, with a questionnaire aiming at collecting information about: 1) farmers’ agricultural practices with a particular focus on pesticides and fertilizers use; 2) their socio-economic environment; 3) their perception of changes of climatic conditions and biotic pressures within agroecosystems and production limiting factors; 4) and the level of integration of agroecological practices in their systems. Farmers were selected to represent the main agricultural systems and cover the entire lake region. The dataset provides the first comprehensive description of farming systems and agroecological practices around Lake Guiers, offering a robust basis to analyze their diversity, dynamics, and environmental performance. It can serve as both a cross-sectional baseline and a reference for future longitudinal studies, supporting econometric, ecological, and policy analyses aimed at guiding the agroecological transition and informing sustainable land and water management in sub-Sahelian contexts.

## Full-text entities

- **Diseases:** fatigue (MESH:D005221)
- **Chemicals:** P (MESH:D010758), Potassium (MESH:D011188), SAED agents (-), N (MESH:D009584)
- **Species:** Manihot esculenta (cassava, species) [taxon 3983], Solanum lycopersicum (tomato, species) [taxon 4081], Ipomoea batatas (batate, species) [taxon 4120], watermelon [taxon 260674], Musa acuminata (banana, species) [taxon 4641], Homo sapiens (human, species) [taxon 9606], Oryza sativa (Asian cultivated rice, species) [taxon 4530], Brassica oleracea (wild cabbage, species) [taxon 3712], Allium cepa (onion, species) [taxon 4679], Arachis hypogaea (goober, species) [taxon 3818]

## Full text

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## Figures

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## References

11 references — full list in the complete paper: https://tomesphere.com/paper/PMC12950485/full.md

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Source: https://tomesphere.com/paper/PMC12950485