See the target
Machine vision identifies weeds and crop canopy, helping direct application where it matters.
Learn More →TARGETED PEST MANAGEMENT. REAL IMPACT.
Targeted pest management.
Built for specialty crops.
EZ Ag Innovations integrates AI, machine vision, and targeted spraying to detect weeds, monitor crop health, and enable smarter, more efficient management of vegetable and small-fruit crops.
♧TARGETED SPRAYINGPrecision-focused application
◉AI & MACHINE VISIONIntelligent image analysis
▥OPERATIONAL EFFICIENCYDesigned to reduce waste
♧SUSTAINABILITYMore intentional application
Apply with precision
Camera-guided control connects field detection with selective herbicide and fungicide application.
Explore Solutions →
Make every pass count
Smarter application and field information help growers make more intentional use of time and resources.
Our Mission →SCIENCE-LED. GROWER-FOCUSED.
Founded by scientists. Grounded in growers' needs.
EZ Ag Innovations was founded by agricultural scientists who work closely with growers and understand the realities of producing specialty crops. We bring crop science, engineering and artificial intelligence together to solve practical challenges in the field.
Our purpose is to help growers produce high-quality food, make better use of resources and strengthen their livelihoods. Grower conversations and on-farm evaluation guide our work - from targeted weed control and canopy-guided spraying to crop scanning, disease monitoring and yield forecasting.
EXCLUSIVELY LICENSED TECHNOLOGY
Machine vision for targeted spray application.
EZAI holds an exclusive license under U.S. Patent No. 11,468,670, “Detection and Management of Target Vegetation Using Machine Vision.” This patented technology connects camera-based recognition of target vegetation with selective agrochemical application, supporting our development of precision spraying tools for specialty crops.
View the patent →OUR TECHNOLOGY
See. Understand. Act.
Cameras observe the field. AI interprets what they see. Application control and crop information turn those observations into practical next steps.
01 / SEE
Capture imagery of crop canopy, weeds and field conditions as equipment moves through the crop.
02 / UNDERSTAND
Use machine-vision models to recognize relevant targets and extract information from field imagery.
03 / ACT
Connect detection to selective spraying or organize observations into crop-monitoring outputs.
Field cameras capture the visual information used to recognize weeds and crop canopy. The sensing approach is matched to the crop and application.
SOLUTIONS FOR SPECIALTY CROPS
More targeted spraying.
More useful field information.
Find weeds. Focus the spray.
Machine vision identifies weeds in row middles and fallow fields, linking detection with targeted herbicide application. The focus is practical weed management for vegetable and small-fruit production.
Follow the crop canopy.
EZAI’s fungicide-sprayer development uses crop-canopy detection to direct application toward the crop. The current single-boom MVP approach emphasizes a simpler, modular system for watermelon production.
Turn field imagery into insight.
Our crop-scanning research combines fruit detection, disease-monitoring models and georeferenced observations to support yield estimation and crop scouting.
Integration with existing equipment
Combine EZAI sensing and application-control technology with compatible agricultural equipment. Configuration starts with the crop, field layout and grower’s operating needs.
Integrated sprayer development
Bring cameras, computing, valves and spray control together in a tractor-mounted system. Our current development direction uses a single-boom MVP, with modular design supporting field evaluation and refinement.
RESEARCH & INNOVATION
From field observation to practical tools.
EZAI’s research connects machine vision, crop science and application engineering. Field evaluation guides how systems recognize targets, manage spray delivery and produce information growers can use.
Weeds & crop canopy
Develop and evaluate detection models for selective spraying in specialty-crop production systems.
Watermelon crop scanning
Advance fruit-detection and yield-estimation methods, alongside models for recognizing disease-associated changes in the crop.
Commercial-field evaluation
Refine reliability, usability and field-data workflows, including georeferenced scouting maps and reports.
FEDERALLY FUNDED RESEARCH
Two USDA STTR Phase I awards. One USDA STTR Phase II award.
Support through the USDA National Institute of Food and Agriculture (USDA-NIFA) Small Business Technology Transfer (STTR) program helps advance our research from feasibility studies toward practical systems for specialty-crop growers.
USDA STTR PHASE I
Precision fungicide application
AI-based smart spray research explores camera-guided crop detection and targeted application for cucurbit production, with the goal of improving crop protection while reducing unnecessary inputs.
USDA STTR PHASE I
Crop scanning and grower insights
The Enhanced Crop Scanning System project investigates disease monitoring, watermelon fruit detection and yield forecasting to support more informed scouting, harvest planning and resource decisions.
USDA STTR PHASE II
Advancing the smart spray system
Building on initial research, Phase II work advances an AI-enabled smart spray system for precise fungicide delivery, with an emphasis on integrated engineering and commercial-field evaluation.
OUR INNOVATION NETWORK
Connected to technology and commercialization expertise.
NVIDIA Inception
EZAI is a member of NVIDIA Inception, a program supporting startups working with AI and advanced computing.
Cenfluence
EZAI is a member of Cenfluence’s Energy and Environmental Sciences cluster, connecting our team with resources for commercialization, funding opportunities and business development.
CONNECT WITH EZAI
Let’s talk about your field.
Explore equipment integration, specialty-crop research, field evaluation or strategic collaboration. Tell us about your crop, production system and the challenge you want to solve.