Search the EPA Research Database

Project Search Result

Project Code [2022EJPSOIL202]

This information is correct as of today and is updated from time to time by the EPA to reflect changes in the management of the project. Please check back regularly for updates.

Project title

FArm MOnitoring via Real-time SOil Sensing

Primary Funding Agency

DAFM

Co-Funding Organisation(s)

Lead Organisation

University College Cork

Lead Applicant

Not listed

Project Abstract

Optimizing farm management practices for soil health and functioning is hindered by the lack of technologies for real-time in-situ measurements of soil functioning indicators. In this project, we will develop a measurement system, which will provide real-time soil data of material fluxes, including nitrogen (ammonium, nitrate, nitrous oxide), moisture, pH and dissolved oxygen. With the development of the real-time monitoring system, we will address on-going challenges in soil monitoring, which is typically laboratory based, costly and time consuming. Real-time data, using a simple, accurate and efficient sensor system will enable processbased understanding of nitrogencycling, and provide valuable data for use in process-orientated models. A miniaturised sensor system for obtaining soil water samples and in-situ processing will be developed. The system will consist of a porous ceramic probe, combined with a micro pump, a sensor, and an antenna for wireless data transmission. The sensor will consist of gold and platinum nanowires with different electrodeposited over-layers, permitting selective and multiplexed detection of different analytes (NO3, dissolved oxygen, pH). The use of ultra-small nano-electrodes for soil nutrients monitoring offers many advantages, including shorter response times, increased sensitivity and greatly reduced sample volumes. To ensure efficient and reliable data collection, a wireless underground sensor network will be used, in which buried wireless sensors communicate to each other or with nodes located aboveground. The collected data will be used to allow for the assessment of management practices and their effectiveness in lowering the environmental impacts of agricultural production systems. The model will identify climate-resilient and sustainable agricultural systems which optimize production while creating desired environmental outcomes, including the reduction of nutrient losses& GHG emissions,and the preservation of biodiversity. The project will bring together a highly experienced team, with expertise in soil physics and biophysical modelling, soil microbiology, farm management, and ICT/sensors and wireless data transfer.

Grant Approved

�499,988.00

Research Hub

Climate Change

Research Theme

1. Carbon Stocks, GHG Emissions, Sinks and Management Options

Start Date

01/06/2023

Initial Projected Completion Date

31/05/2026