SILF SMART INTEGRATED LIVESTOCK FARMING

Transcription

1 SILF SMART INTEGRATED LIVESTOCK FARMING

2 PARTNERS Aarhus University (leader) ILVO Institute for Agricultural and Fisheries Research CERTH Center for research and technology Hellas MTT Agrifood Research UCD University college Dublin, School of Biosystems Engineering WEBTECH company making sensors, now Kongskilde Denmark Belgium Greece Finland Ireland Denmark

3 OBJECTIVES 1. To design a IoT-provider platform (the Farm Platform ) to manage operational data and events on farms and demonstrate as a service functionalities for increasing sustainability. 2. To carry out user adoption and stakeholder studies to understand the issues faced by farmers in using precision farming and Farm Management Information Systems (FMIS). 3. To refine and validate a smart farming sensing system (lameness and energy consumption) so that it meets the primary objective of supporting sustainable agriculture and individual user s requirements.

4 OBJECTIVES 4. To develop algorithms that provides decision support to farmers on animal welfare, energy usage and environmental impact using sensor and production data operationalised on the Farm Journal. 5. To develop business models for specific European milk production systems and to determine added value of available sensing based on a footprint costing approach.

5 ORGANISATION WP correspond to the objectives. Defined sub objectives to guide the process. Midterm report has been delivered and approved in DK Sub-objectives - To identify available production databases - To identify available data in partner countries and description of protocols - To create audit protocols for energy and barn climate - To identify and document stakeholders in all countries - To define interview framework for identified stakeholders - To complete interviews with stakeholders - To identify key indicators

6 SUB OBJECTIVES CONTINUED - To setup Sensor systems (specifically accelerometers) on demonstration farms - To test and validate first prototype of detection system - To design LCA system model for confinement and grazing based dairy farms - To design farm scale LCA model suitable for Farm Platform decision support - To design a system for the costs and benefits for different actors and interrelationship - To design a draft business model for market conditions and usefulness

7 AVAILABLE DATABASE

8 STAKEHOLDER ANALYSIS Main stakeholders in design and asessment: Farmers and co workers Advisors and vets Industry and technicians

9 TECHNOLOGY FOR HEALTH DETECTION Gait wise Step Metrix Accelerometer Repairs necessary, good perspectives Has been discarded Big perspectives. Experimenting with sensor platform and NEDAP smarttags

10 CHOSEN ALTERNATIVES Experimental platform for in depth understanding of correlations (accelerometer, gyroscope, positioning). Existing data set from Finland and Denmark (Smartbow) Buy commercial accelerometer sensors and implement (main objective is farm journal). Join Dutch technology group from Wageningen and use their model (agreed)

11 MODEL Based on Farm Journal: Milk yield Milk frequency Eaten amount of concentrates Cow data (insemination, age, parity) Moving window Accelerometer

12 LCA IDENTIFY KEY ENVIRONMENTAL INDICATORS. Design farm based rapid LCA to quantify these. Simplification is modelled. Test simple-complex Identified: Energy Nutrient use Land/soil Carbon footprint Biodiversity Water-efficiency -quality Different farm based LCA models are Reviewed. Climate check etc. Land use and biodiversity are often missing.

13 AND LCC Farm scale LCA is facilitated to quantify life cycle costing parallel Key production indicators are linked. Indicator ECM Milk production efficiency Protein production per ha Energy conversion (CU) health rate (CH) Milk Productivity Gross margin Fertility rate Compactness Mortality rate target milk/ GM

14 CONNECTING FARM JOURNAL TO LCC Identification of essential production indicators which can be controlled by application of farm journal. Farm journal can show (by Dash-board interface) how production indicators are reacting to Decision Support (DC)

15 CHALLENGES To get the technology to work To demonstrate farm journal linked to farm platform. Future continue with Danish model And other sustainability indicators, like resources, labour etc.

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