Industry Solutions

Industry Solutions

Commodity Crops

Pest management

Mosquito & Tick Management

Urban Pest Control

Speciality

Arboriculture & Ornamental Plants

Something else? Contact us.

Arboriculture & Ornamental Plants

Mosquito & Tick Management

Urban Pest Control

Capabilities

Structural Equation Modeling

Regression & ANOVA

Power Analysis & Sample Size

Model Deployment using Cloud Services

Machine Learning Model Validation

Invasive Species Monitoring

Data Processing, Cleaning, Storage, Management

Audit Data Science Initiatives

Audit Data Science Initiatives

Data Processing, Cleaning, Storage, Management

Invasive Species Monitoring

Machine Learning Model Validation

Model Deployment using Cloud Services

Power Analysis & Sample Size

Regression & ANOVA

Structural Equation Modeling

Projects

Agriculture & Food Data Science

Lifting yields with spatial arrangement in agroforestry plots

Extreme weather impacts on agrochemical product performance

Efficient smallholder farm planning with genetic algorithms

Pest & Beneficial Species Management

Web apps for regional pest management

Predicting pea aphid outbreaks early enough to act

Model validation for the invasive insect emerald ash borer

Management guidelines for Canada thistle from messy field data

Ground-truthing general guidelines on local field data in spotted lanternfly

Evaluating pest management policy against outcomes on the ground

A machine learning tool for smart disease surveys

R&D Team Support

Simulating economic outcomes in diversified farms

Designing efficient experiments with power analysis

Data analytics for sustainability: improving cacao yield with hand pollination

Comprehensive performance evaluation in agrochemical development

Simulating economic outcomes in diversified farms

Designing efficient experiments with power analysis

Data analytics for sustainability: improving cacao yield with hand pollination

Comprehensive performance evaluation in agrochemical development

Web apps for regional pest management

Predicting pea aphid outbreaks early enough to act

Model validation for the invasive insect emerald ash borer

Management guidelines for Canada thistle from messy field data

Ground-truthing general guidelines on local field data in spotted lanternfly

Evaluating pest management policy against outcomes on the ground

A machine learning tool for smart disease surveys

Lifting yields with spatial arrangement in agroforestry plots

Extreme weather impacts on agrochemical product performance

Efficient smallholder farm planning with genetic algorithms

Team Company Contact Us

industry soultions

Soybean IPM

Our work in soybean has focused on predicting and controlling aphid outbreaks.

Industry Solutions

Urban Pest Control

Mosquito & Tick Management

Arboriculture & Ornamental Plants

Capabilities

Structural Equation Modeling

Regression & ANOVA

Power Analysis & Sample Size

Model Deployment using Cloud Services

Machine Learning Model Validation

Invasive Species Monitoring

Data Processing, Cleaning, Storage, Management

Audit Data Science Initiatives

Projects

Agriculture & Food Data Science

Pest & Beneficial Species Management

R&D Team Support

About Us

People & Partners