NSF convergence accelerator (l): innovative approach to monitor methane emissions from livestock using an advanced gravimetric microsensor

This Project Grant award from the National Science Foundation (NSF) under the NSF Technology, Innovation, and Partnerships program (CFDA 47.084) totaling $649,975 aims to develop and demonstrate an innovative approach to monitoring methane emissions from livestock using advanced gravimetric microsensor technology.

The project is led by the Bigelow Laboratory for Ocean Sciences, a non-profit marine research organization, and involves sub-awards to The William H Miner Agricultural Research Institute and Lelantos Inc., a technology company. The objectives are to create a functional, robust, ear-tag mounted methane microsensor capable of quantifying emissions from individual cows, as well as integrate the sensor data with information technology systems to enable herd-scale methane emission monitoring and reporting. This will allow farmers to validate the effectiveness of methane-reduction approaches and facilitate access to carbon credit markets. Initial trials on a working dairy farm are planned to optimize sensor deployment, data recovery, and measurement validation.

Abstract

The lifetime of methane in the atmosphere is relatively short compared to other major greenhouse gases; hence, reducing its emission represents a rapid option for slowing down global warming. Methane production from dairy and beef cattle is a considerable component of anthropogenic emissions and multiple on-farm strategies, including feed-additives, are being developed to reduce this source. The project aims to apply novel microsensor technology to quantify the emission of methane from individual cows. When linked to custom-designed information technology systems, this will allow estimation of methane emissions at the whole-herd scale. This will enable farmers to monitor and validate the effectiveness of methane-reduction approaches and provide the information required to access to carbon credit markets, an essential economic incentive for adoption of the emission-reduction approaches. Effective mitigation of methane emissions from agriculture, will benefit society as a whole by attenuating global warming. Through an expanding partnership of complementary expertise, the project aims to progress the development of a functional, robust, ear-tag mounted, methane microsensor that is sufficiently sensitive and selective to quantify concentrations in the vicinity of a COW?s muzzle, where most enteric methane is emitted. Preliminary trials on a working dairy farm are aimed at optimizing sensor deployment times, data recovery and interpretation strategies and to validate the measurements through intercomparison with established, scientific instrumentation. Additional partnerships will be established to design and implement data processing and interpretation systems that integrate with existing ?smart agriculture? Technology. Initial engagement with experts in carbon accounting will be consolidated during the second phase of the project to establish methodologies that effectively utilize the microsensor technology as the basis for farm-specific emissions reduction quantification. The overarching goal is to transition an innovative microsensor technology from prototype to commercial readiness for application in the dairy and beef industries and integration in carbon credit market practices; with the intention that IT will be an integral tool in the validation and promotion of mitigation strategies aimed at reducing enteric methane emissions. 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.- subawards are planned for this award.