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Research Call

DAFM Reference

Lead(Collaborating)Institution

DAFM Award

ICT AGRI ERANET Call 2015 15/ICTAGRI 1 Teagasc (NUIM, CIT) €242,683

Project Title:

Development of ground based and Remote Sensing, automated `real-time¿ grass quality measurement techniques to enhancegrassland management information platforms

Project Coordinator:

Dr. Bernadette O'Brien

Project Abstract

The focus of this project is to develop and enable an intelligent system that will apply precision management to whole farm grassland and grazing systems. The goal is to optimize grass quality, utilization efficiency, and ultimately profitability, with minimal labour requirement and maximum objectivity. To precisely allocate to the cow herd the absolutely correct area of grass, it is necessary to have an accurate ‘real-time’ measure of grass quality (as well as quantity). The research proposed here is new and innovative, in that two very different techniques will be used to derive this grass quality measure, either by automated grass quality data capture by a near infrared spectroscopy (NIRS) sensor at ground level or by Remote Sensing image data captured using satellite or unmanned aerial vehicles (UAVs) and subsequent predictive modeling. This project provides a unique opportunity for these two techniques to be operated in parallel. The output or product of this research will be the provision of high quality, ‘real-time’, geo-tagged information in the form of herbage mass, and specifically grass quality, through a user friendly software package on a Smartphone App or web-based decision support system (DSS). The grass quality measure will be defined as % dry matter (DM), % organic matter digestibility (OMD) and % crude protein (CP). This latter parameter information (CP) together with the location specific nature of the data will also hold potential for targeted fertilizer application procedures for the future. This proposed work is central to one of the two fundamental priorities for SHARP, that being sustainable food production, with competitiveness and sustainability being two of the guiding principles focusing on the pillars of animal production, grass and sustainable management of those. Furthermore, this proposed work is aligned with the FoodWise 2025 vision for the Irish agrifood industry, which recognizes as a key fundamental principal, the grass-fed livestock production system which provides a significant comparative advantage in terms of cost competitiveness and environmental efficiency. The proposed work will enhance both grass utilization efficiency and targeted fertilizer application.

Final Report:

Not available yet.