AGRICULTURE

AGRICULTURE RESEARCH

INSTAR Lab's agricultural research addresses one of the most urgent national priorities: maintaining a secure, resilient food supply in a changing climate. We investigate the intersection of agronomic science, soil ecology, and data analytics — applying AI-driven sensing, predictive modeling, and microbial genomics to understand how managed land systems can produce more while degrading less. Our approach is inherently interdisciplinary, drawing on biology, chemistry, economics, and engineering to study problems no single discipline can solve alone.

Drone surveying farmland with sensor network for precision agriculture

Precision Agriculture

We investigate how sensor networks, drone-based multispectral imaging, and machine learning models can monitor crop health continuously at field scale. The goal is targeted intervention capability — applying the right input at the right place and time rather than broadcasting across entire fields. This kind of precision matters for both yield and input stewardship.

Learn More
Soil sample analysis for microbiome research in laboratory setting

Soil Microbiome Research

We analyze soil microbial communities using metagenomic and metatranscriptomic sequencing to map nutrient cycling pathways and plant-microbe signaling networks. Understanding which microbial consortia drive soil health — and how they respond to tillage, cover cropping, or carbon amendment — is foundational to evidence-based regenerative agriculture.

Learn More
Climate-resilient crop varieties growing in experimental field trials

Climate-Resilient Crops

Our research interest in climate-resilient crops sits at the intersection of genetics, agronomy, and climate science. We examine how natural variation and targeted genomic tools can yield varieties better suited to drought, heat, and waterlogging — working across staple and specialty crops to understand the tradeoffs between stress tolerance, yield potential, and nutritional quality.

Learn More
Closed-loop irrigation system with soil moisture sensors in arid farmland

Sustainable Irrigation

Water scarcity is already constraining agricultural output across the American West and globally. We research closed-loop irrigation architectures guided by evapotranspiration models, soil moisture sensing, and weather-coupled decision algorithms — aiming to demonstrate that substantial water savings are achievable without yield sacrifice in arid and semi-arid production systems.

Learn More

OUR PARTNERS