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Remote Sensing Data to Detect Hessian Fly Infestation in Commercial Wheat Fields
Ganesh P Bhattarai1, Ryan B Schmid2,3,4, Brian P McCornack2,3
1Department of Entomology, Kansas State University, Manhattan, KS, 66506, USA. bhattaraigp@gmail.com.
Scientific Reports
|April 18, 2019
Summary
Remote sensing, using the normalized difference vegetation index (NDVI), can effectively detect Hessian fly infestations in winter wheat. Satellite NDVI data proved more effective than aircraft data for assessing pest severity in agricultural fields.
Area of Science:
- Agricultural remote sensing
- Entomology
- Plant pathology
Background:
- Remote sensing is underutilized for monitoring insect pest infestations in agriculture.
- The Hessian fly (Mayetiola destructor) is a significant pest of winter wheat (Triticum aestivum).
Purpose of the Study:
- To evaluate the relationship between normalized difference vegetation index (NDVI) and Hessian fly infestation levels in winter wheat.
- To compare the efficacy of satellite and aircraft-based remote sensing data for assessing pest infestation.
Main Methods:
- Multispectral satellite and aircraft data were used to generate NDVI maps throughout the growing season.
- Hessian fly infestation was quantified through field surveys at multiple sampling points.
- Statistical analysis was performed to correlate NDVI values with pest infestation levels.
Main Results:
- NDVI values decreased significantly with increasing Hessian fly infestation for both data types.
- Satellite-derived NDVI demonstrated a stronger correlation with pest infestation than aircraft-derived NDVI, despite lower resolution.
- Remote sensing effectively identified areas of wheat with poor growth and health due to pest damage.
Conclusions:
- Remotely sensed NDVI is a viable tool for assessing the occurrence and severity of Hessian fly infestations in agricultural areas.
- Satellite remote sensing, even from high altitudes, provides valuable data for agricultural pest management.
- This approach can aid in early detection and management strategies for insect pests in crops.
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