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Directorate for Technology, Innovation, and PartnershipsNSF · NSFNSF

SBIR Phase II: High Resolution Environmental Sensing Using Nanodrones

James Peverill·GREENSIGHT AGRONOMICS, INC., MA·2023–2025·COMPLETED
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INSTITUTION

GREENSIGHT AGRONOMICS, INC., MA

PRINCIPAL INVESTIGATOR

James Peverill

FUNDING

$941K

YEAR

2023

MOONBASE SCORE

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Abstract

The broader/commercial impact of this Small Business Innovation Research (SBIR) Phase I project is enabling enhanced prediction of severe weather formation to a timing resolution of hours instead of days. Improved weather predictions have a significant impact on people’s lives, allowing for better planning, proactive evacuations, and reducing deaths, injuries and property damage, especially in vulnerable populations. With climatologists predicting dramatic increases in damaging and dangerous severe weather over the next decades, accurate prediction of severe weather is even more critical. This project will launch a robotics-as-a-service business around the technology which can rapidly reach sustainability, generating economic impacts while providing significant environmental, scientific, and societal benefits. As the technology matures and becomes more widespread, entirely novel analysis and predictive models will be developed around the data being produced, unlocking even higher value economic insights for insurance, energy, financial, and transportation industries. The part of the atmosphere from the ground up to about 3,000 feet is called the atmospheric boundary layer. This area is difficult to monitor but has a huge impact on gas, heat, and energy exchange between the earth and the atmosphere. This project enables better monitoring and understanding of this area, unlocking scientific, logistical, and policy advancements that will drive new innovations in climate, environmental, and weather science with high impact on humanity. The proposed technology enables gathering high spatial and temporal resolution atmospheric data with a swarm of synchronized sampling aircrafts. The swarm system will use lightweight design approaches and proprietary optimization techniques for portability, swarm capability, flight endurance, and low cost. Using automation and robotics, including remote operational support, this project will enable data that can potentially be deployed globally to be gathered in a scalable and low-cost manner. This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

Directorate for Technology, Innovation, and PartnershipsSBIR Phase IITECH FOR SUSTAINABLE ENVIRONMENTworthylightweightreflectsmeritbetterenablesroboticsformationevacuationsdeployed

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