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Related Experiment Video

Updated: Jun 27, 2025

Visualizing Efficacy of Pesticides Against Disease Vector Mosquitoes in the Field

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Published on: March 16, 2019

GIS-Based Tool for Pest Specific Area-Wide Planning of Crop Rotation Distance with Land Use Data.

Manuela Schieler^1,2, Natalia Riemer³, Paolo Racca¹

¹Central Institute for Decision Support Systems in Crop Protection, Rüdesheimer Str. 60-68, D-55545 Bad Kreuznach, Germany.

|April 26, 2024

Summary

This summary is machine-generated.

Crop rotation planning can reduce pest damage. A new GIS tool helps farmers by calculating minimum migration distances for pests like the pea moth, preventing crop infestations and reducing pesticide use.

Keywords:

Cydia nigricana Python script area-wide pest management crop rotation distance integrated pest management

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Area of Science:

Agricultural Science
Entomology
Geographic Information Systems (GIS)

Background:

Crop rotation is a key strategy for managing agricultural pests, particularly those that are mono- or oligophagous.
Effective crop rotation requires understanding pest migration patterns to prevent re-infestation.
The pea moth (Cydia nigricana) and its impact on peas (Pisum sativum) serve as a model for this challenge.

Purpose of the Study:

To develop a GIS-based tool for optimizing cultivation planning to minimize pest damage.
To establish a pest-specific minimum migration distance (MD) for effective crop rotation strategies.
To provide decision support for farmers to prevent yield losses and reduce pesticide application.

Main Methods:

Utilized monitoring data from 513 sites over four years (2016-2019) on pea seed infestation and proximity to previous pea cultivation sites.
Developed an adjustable Python script correlating pest infestation with distance to identify minimum migration distances (MD).
Integrated the MD into a GIS framework to generate risk maps for cultivation planning.

Main Results:

The developed tool provides risk maps with calculated risk buffers ranging from 1261 m to 1825 m, varying by cultivation type.
Demonstrated the correlation between pest infestation and distance to previous crop sites.
The tool is adaptable for other pests and crops globally.

Conclusions:

The GIS-based tool offers efficient cultivation planning support to prevent damage from specific insect pests.
Implementing calculated minimum migration distances aids in reducing pesticide use, benefiting the environment and biodiversity.
This approach provides a scalable solution for integrated pest management in agriculture worldwide.