1. Sustainability Performance Assessment (SPA) at Farm level Smart Agrimatics - Paris, June 14, 2012 Emeline Fellus - Deputy Manager, SAI Platform

2. What is SAI Platform ? (1/2) A Platform created in 2002 by the food industry to communicate and to actively support the development of sustainable agriculture for the mainstream, involving stakeholders of the food chain. Founders were Nestle, Unilever, Danone. Work on a pre competitive basis. 2

3. What is SAI Platform ? (2/2) Today we have 40 members: - 30 food companies - 10 affiliates. We coordinate 6 Working Groups: - 5 crop specific (beef, coffee, fruit, dairy, arable & vegetable crops) - 1 WG on water& agriculture Wide variety of parallel activities such as R&D, developing training for food executives etc 3

4. SAI Platform Members AFFILIATE MEMBERS

5. Sustainable agriculture is a productive, competitive and efficient way to produce safe agricultural products, while at the same time protecting and improving the natural environment and social/economic conditions of local communities. 5 Definition

6. Some sustainability issues Many challenges and opportunities for farmers, society & the food sector 6 Ecosystem- services & Biodiversity Climate Change Volatile Ag. Prices Land Degradation Water Scarcity Non-food use (fuels) New technologies GMOs Natural Resources Improving Yields Ensured Supply Rural Livelihood Reduced Extension Services Growing Demand for Food Overgrazing Soil conservation

7. 7 7 Good Practices

8. How to measure progress? 8 Metrics Indicators Scientifically sound Relation to Farm Practices Tools, like CFT, Simpatica, Keystone, RISE, climate yardstick Many Experts & groups work on this Purpose, objective, scope? Qualitative or strictly quantitative?

9. 9 SPA Phase 1 Benchmarked and rated existing farm metrics to help a farmer measure, understand, improve and report progress. 1.Started from our list of Principles and Practices 2.Looked for already available metrics (Not to reinvent wheel) 3.Benchmarked over 100 of them 4.Selected best ones: simple, scientifically sound, readily available@farm, measurable, comparable.

10. Table 1: Overview of quantified sustainability indicators ThemeIndicatorData derived from Pesticideskg active ingredients used/kg of productYield data and kg pesticides applied score (points) (active ingredients per ha related to toxicity, exposure, date of application) calculator/yardstick (e.g. Keystone calculator or CLM pesticide yardstick) Water use score: irrigation efficiency index (crop evapotranspiration / volume of applied water per ha) water use measured on farm, compared to evapotranspiration measured or from statistics score: water use efficiency index (crop yield per ha / volume of applied water per ha) water use and yield measured on farm Energy use% share of renewable energy usedenergy use data (fuel and electricity) energy use/kg of productenergy use data (fuel and electricity) Waste % of product utilization: area harvested/area planted yield and production data % of reclaimed byproducts: tonnes of materials used for recycling, composting or animal feed / tons of harvested product measured waste streams on farm % total waste/kg productmeasured waste streams on farm Example

11. 11 SPA Phase 2 Benchmarked and rated existing sustainability measurement tools. 1.Benchmarked over 100 of existing tools – some very specific (eg GHG emissions) and some very comprehensive 2.Selected best ones: complete but simple, scientifically sound, providing user-friendly feedback to farmer, comparable.

12. 12 Example SPA Phase Two Example of tools: RISE

13. 13 Selection of methodologies (ToR) for computer-based tools measuring sustainable agriculture SPA 3 – priority issues included 1.Climate & energy 2.Water quantity 3.Nutrient efficiency 4.Soil quality 5.Biodiversity 6.Pesticides 7.Waste 8.Land use SPA 3 – priority issues to be developed later on 1.Animal welfare 2.Occupational health and safety 3.Financial stability SPA Phase 3 (1)

14. 14 SPA Phase 3 (2) For each priority issue: Separate chapter (3 - 7 pages) Summarizing flowchart Contents: Farm data (entered by farmer) Background data needed (regional databases) Methodology (calculations, boundaries etc) Output indicator and units Rationale behind choices made

15. 15 SPA Phase 3 (3) Data entered by farmer Farm data Data from (regional) databases Background data Calculation rules Boundaries Etc. Methodology Output and unit Indicator Sustainability concern Issue

16. 16 Example: land use Production (milk/meat) and/or yield (crop) in tonnes/farm or tonnes/ha Feed used as input (tonnes) Yield of feed used Feed composition Country of origin of feed Farm data Feed: composition Feed: share of countries of origin Feed: country-specific yields Feed: dry matter content Background data For crops: Inverse of yield For animal feed: Inverse of yield of ingredients Methodology Land used for crop production in m 2 per kg of production Land used for off-farm fodder in m 2 per kg of production Indicator Land use Issue

17. 17 Milestones and next steps 1.SPA Phase One published in 2010 2.SPA Phase Two published in 2011 3.SPA Phase Three Version 1.0 published early May 2012 4.Piloting phase in 2012-2013 5.Review and additions mid 2013 6.SPA Phase Three Version 2.0 in 2014

18. Thank you for your attention! For more information: http:/www.saiplatform.org efellus@saiplatform.org 18