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Crop Protection and Quarantine
(National Program 304) in MT
Pest Management Research
- Geospatial Artificial Intelligence for Spatiotemporal Modeling of Pest Insects
- Flowering Rush Agent Rearing and Collection
- Modeling Mormon Cricket Centers of Endemism with Geospatial Artificial Intelligence (GeoAI) Analysis of Spatiotemporal Distribution Data
- Modeling Mormon Cricket Centers of Endemism with Geospatial Artificial Intelligence (GeoAI) Analysis of Spatiotemporal Distribution Data
- Monitoring, Implementing and Evaluating the Impacts of New Biological Control Programs for Flowering Rush and Common Crupina
- Understanding Spatio-temporal Habitat Functionality of Land Cover Types for Conservation of Coccinellids and Pest Suppression in Alfalfa
- Modeling Mormon Cricket Centers of Endemism with Geospatial Artificial Intelligence (GeoAI) Analysis of Spatiotemporal Distribution Data
- Effects of Prescribed Burns and Grazing Regimes on Spider Abundance and Richness
- Invasive Ant and Pollinator Response to Prescribed Fire and Forest Management
- Field Release and Evaluation of Ramularia crupinae for the Management of Noxious Crupina vulgaris Populations
- Understanding Seasonal Differences in Parasitic Varroa Mite Population Resistance Levels in Honey Bee Colonies
- Addressing the Challenge of Amitraz Resistance: Varroa Treatment Recommendations for Commercial Beekeepers
- Ecologically Based Management of Grasshoppers, Wheat Stem Sawfly and Other Rangeland and Crop Insects in the Great Plains
- Biological Control, Pollinator, and Integrated Weed Management to Enhance and Increase Agroecosystem Sustainability